Monday, 30 September 2013

Web Scraper Shortcode WordPress Plugin Review

This short post is on the WP-plugin called Web Scraper Shortcode, that enables one to retrieve a portion of a web page or a whole page and insert it directly into a post. This plugin might be used for getting fresh data or images from web pages for your WordPress driven page without even visiting it. More scraping plugins and sowtware you can find in here.

To install it in WordPress go to Plugins -> Add New.
Usage

The plugin scrapes the page content and applies parameters to this scraped page if specified. To use the plugin just insert the

[web-scraper ]

shortcode into the HTML view of the WordPress page where you want to display the excerpts of a page or the whole page. The parameters are as follows:

    url (self explanatory)
    element – the dom navigation element notation, similar to XPath.
    limit – the maximum number of elements to be scraped and inserted if the element notation points to several of them (like elements of the same class).

The use of the plugin is of the dom (Data Object Model) notation, where consecutive dom nodes are stated like node1.node2; for example: element = ‘div.img’. The specific element scrape goes thru ‘#notation’. Example: if you want to scrape several ‘div’ elements of the class ‘red’ (<div class=’red’>…<div>), you need to specify the element attribute this way: element = ‘div#red’.
How to find DOM notation?

But for inexperienced users, how is it possible to find the dom notation of the desired element(s) from the web page? Web Developer Tools are a handy means for this. I would refer you to this paragraph on how to invoke Web Developer Tools in the browser (Google Chrome) and select a single page element to inspect it. As you select it with the ‘loupe’ tool, on the bottom line you’ll see the blue box with the element’s dom notation:


The plugin content

As one who works with web scraping, I was curious about  the means that the plugin uses for scraping. As I looked at the plugin code, it turned out that the plugin acquires a web page through ‘simple_html_dom‘ class:

    require_once(‘simple_html_dom.php’);
    $html = file_get_html($url);
    then the code performs iterations over the designated elements with the set limit

Pitfalls

    Be careful if you put two or more [web-scraper] shortcodes on your website, since downloading other pages will drastically slow the page load speed. Even if you want only a small element, the PHP engine first loads the whole page and then iterates over its elements.
    You need to remember that many pictures on the web are indicated by shortened URLs. So when such an image gets extracted it might be visible to you in this way: , since the URL is shortened and the plugin does not take note of  its base URL.
    The error “Fatal error: Call to a member function find() on a non-object …” will occur if you put this shortcode in a text-overloaded post.

Summary

I’d recommend using this plugin for short posts to be added with other posts’ elements. The use of this plugin is limited though.



Source: http://extract-web-data.com/web-scraper-shortcode-wordpress-plugin-review/

Friday, 27 September 2013

Visual Web Ripper: Using External Input Data Sources

Sometimes it is necessary to use external data sources to provide parameters for the scraping process. For example, you have a database with a bunch of ASINs and you need to scrape all product information for each one of them. As far as Visual Web Ripper is concerned, an input data source can be used to provide a list of input values to a data extraction project. A data extraction project will be run once for each row of input values.

An input data source is normally used in one of these scenarios:

    To provide a list of input values for a web form
    To provide a list of start URLs
    To provide input values for Fixed Value elements
    To provide input values for scripts

Visual Web Ripper supports the following input data sources:

    SQL Server Database
    MySQL Database
    OleDB Database
    CSV File
    Script (A script can be used to provide data from almost any data source)

To see it in action you can download a sample project that uses an input CSV file with Amazon ASIN codes to generate Amazon start URLs and extract some product data. Place both the project file and the input CSV file in the default Visual Web Ripper project folder (My Documents\Visual Web Ripper\Projects).

For further information please look at the manual topic, explaining how to use an input data source to generate start URLs.


Source: http://extract-web-data.com/visual-web-ripper-using-external-input-data-sources/

Thursday, 26 September 2013

Scraping Amazon.com with Screen Scraper

Let’s look how to use Screen Scraper for scraping Amazon products having a list of asins in external database.

Screen Scraper is designed to be interoperable with all sorts of databases and web-languages. There is even a data-manager that allows one to make a connection to a database (MySQL, Amazon RDS, MS SQL, MariaDB, PostgreSQL, etc), and then the scripting in screen-scraper is agnostic to the type of database.

Let’s go through a sample scrape project you can see it at work. I don’t know how well you know Screen Scraper, but I assume you have it installed, and a MySQL database you can use. You need to:

    Make sure screen-scraper is not running as workbench or server
    Put the Amazon (Scraping Session).sss file in the “screen-scraper enterprise edition/import” directory.
    Put the mysql-connector-java-5.1.22-bin.jar file in the “screen-scraper enterprise edition/lib/ext” directory.
    Create a MySQL database for the scrape to use, and import the amazon.sql file.
    Put the amazon.db.config file in the “screen-scraper enterprise edition/input” directory and edit it to contain proper settings to connect to your database.
    Start the screen scraper workbench

Since this is a very simple scrape, you just want to run it in the workbench (most of the time you want to run scrapes in server mode). Start the workbench, and you will see the Amazon scrape in there, and you can just click the “play” button.

Note that a breakpoint comes up for each item. It would be easy to save the scraped details to a database table or file if you want. Also see in the database the “id_status” changes as each item is scraped.

When the scrape is run, it looks in the database for products marked “not scraped”, so when you want to re-run the scrapes, you need to:

UPDATE asin
SET `id_status` = 0

Have a nice scraping! ))

P.S. We thank Jason Bellows from Ekiwi, LLC for such a great tutorial.


Source: http://extract-web-data.com/scraping-amazon-com-with-screen-scraper/

Using External Input Data in Off-the-shelf Web Scrapers

There is a question I’ve wanted to shed some light upon for a long time already: “What if I need to scrape several URL’s based on data in some external database?“.

For example, recently one of our visitors asked a very good question (thanks, Ed):

    “I have a large list of amazon.com asin. I would like to scrape 10 or so fields for each asin. Is there any web scraping software available that can read each asin from a database and form the destination url to be scraped like http://www.amazon.com/gp/product/{asin} and scrape the data?”

This question impelled me to investigate this matter. I contacted several web scraper developers, and they kindly provided me with detailed answers that allowed me to bring the following summary to your attention:
Visual Web Ripper

An input data source can be used to provide a list of input values to a data extraction project. A data extraction project will be run once for each row of input values. You can find the additional information here.
Web Content Extractor

You can use the -at”filename” command line option to add new URLs from TXT or CSV file:

    WCExtractor.exe projectfile -at”filename” -s

projectfile: the file name of the project (*.wcepr) to open.
filename – the file name of the CSV or TXT file that contains URLs separated by newlines.
-s – starts the extraction process

You can find some options and examples here.
Mozenda

Since Mozenda is cloud-based, the external data needs to be loaded up into the user’s Mozenda account. That data can then be easily used as part of the data extracting process. You can construct URLs, search for strings that match your inputs, or carry through several data fields from an input collection and add data to it as part of your output. The easiest way to get input data from an external source is to use the API to populate data into a Mozenda collection (in the user’s account). You can also input data in the Mozenda web console by importing a .csv file or importing one through our agent building tool.

Once the data is loaded into the cloud, you simply initiate building a Mozenda web agent and refer to that Data list. By using the Load page action and the variable from the inputs, you can construct a URL like http://www.amazon.com/gp/product/%asin%.
Helium Scraper

Here is a video showing how to do this with Helium Scraper:


The video shows how to use the input data as URLs and as search terms. There are many other ways you could use this data, way too many to fit in a video. Also, if you know SQL, you could run a query to get the data directly from an external MS Access database like
SELECT * FROM [MyTable] IN "C:\MyDatabase.mdb"

Note that the database needs to be a “.mdb” file.
WebSundew Data Extractor
Basically this allows using input data from external data sources. This may be CSV, Excel file or a Database (MySQL, MSSQL, etc). Here you can see how to do this in the case of an external file, but you can do it with a database in a similar way (you just need to write an SQL script that returns the necessary data).
In addition to passing URLs from the external sources you can pass other input parameters as well (input fields, for example).
Screen Scraper

Screen Scraper is really designed to be interoperable with all sorts of databases. We have composed a separate article where you can find a tutorial and a sample project about scraping Amazon products based on a list of their ASINs.


Source: http://extract-web-data.com/using-external-input-data-in-off-the-shelf-web-scrapers/

Tuesday, 24 September 2013

Selenium IDE and Web Scraping

Selenium is a browser automation framework that includes IDE, Remote Control server and bindings of various flavors including Java, .Net, Ruby, Python and other. In this post we touch on the basic structure of the framework and its application to  Web Scraping.
What is Selenium IDE


Selenium IDE is an integrated development environment for Selenium scripts. It is implemented as a Firefox plugin, and it allows recording browsers’ interactions in order to edit them. This works well for software tests, composing and debugging. The Selenium Remote Control is a server specific for a particular environment; it causes custom scripts to be implemented for controlled browsers. Selenium deploys on Windows, Linux, and iOS. How various Selenium components are supported with major browsers read here.
What does Selenium do and Web Scraping

Basically Selenium automates browsers. This ability is no doubt to be applied to web scraping. Since browsers (and Selenium) support JavaScript, jQuery and other methods working with dynamic content why not use this mix for benefit in web scraping, rather than to try to catch Ajax events with plain code? The second reason for this kind of scrape automation is browser-fasion data access (though today this is emulated with most libraries).

Yes, Selenium works to automate browsers, but how to control Selenium from a custom script to automate a browser for web scraping? There are Selenium PHP and other language libraries (bindings) providing for scripts to call and use Selenium. It is possible to write Selenium clients (using the libraries) in almost any language we prefer, for example Perl, Python, Java, PHP etc. Those libraries (API), along with a server, the Java written server that invokes browsers for actions, constitute the Selenum RC (Remote Control). Remote Control automatically loads the Selenium Core into the browser to control it. For more details in Selenium components refer to here.


A tough scrape task for programmer

“…cURL is good, but it is very basic.  I need to handle everything manually; I am creating HTTP requests by hand.
This gets difficult – I need to do a lot of work to make sure that the requests that I send are exactly the same as the requests that a browser would
send, both for my sake and for the website’s sake. (For my sake
because I want to get the right data, and for the website’s sake
because I don’t want to cause error messages or other problems on their site because I sent a bad request that messed with their web application).  And if there is any important javascript, I need to imitate it with PHP.
It would be a great benefit to me to be able to control a browser like Firefox with my code. It would solve all my problems regarding the emulation of a real browser…
it seems that Selenium will allow me to do this…” -Ryan S

Yes, that’s what we will consider below.
Scrape with Selenium

In order to create scripts that interact with the Selenium Server (Selenium RC, Selenium Remote Webdriver) or create local Selenium WebDriver script, there is the need to make use of language-specific client drivers (also called Formatters, they are included in the selenium-ide-1.10.0.xpi package). The Selenium servers, drivers and bindings are available at Selenium download page.
The basic recipe for scrape with Selenium:

    Use Chrome or Firefox browsers
    Get Firebug or Chrome Dev Tools (Cntl+Shift+I) in action.
    Install requirements (Remote control or WebDriver, libraries and other)
    Selenium IDE : Record a ‘test’ run thru a site, adding some assertions.
    Export as a Python (other language) script.
    Edit it (loops, data extraction, db input/output)
    Run script for the Remote Control

The short intro Slides for the scraping of tough websites with Python & Selenium are here (as Google Docs slides) and here (Slide Share).
Selenium components for Firefox installation guide

For how to install the Selenium IDE to Firefox see  here starting at slide 21. The Selenium Core and Remote Control installation instructions are there too.
Extracting for dynamic content using jQuery/JavaScript with Selenium

One programmer is doing a similar thing …

1. launch a selenium RC (remote control) server
2. load a page
3. inject the jQuery script
4. select the interested contents using jQuery/JavaScript
5. send back to the PHP client using JSON.

He particularly finds it quite easy and convenient to use jQuery for
screen scraping, rather than using PHP/XPath.
Conclusion

The Selenium IDE is the popular tool for browser automation, mostly for its software testing application, yet also in that Web Scraping techniques for tough dynamic websites may be implemented with IDE along with the Selenium Remote Control server. These are the basic steps for it:

    Record the ‘test‘ browser behavior in IDE and export it as the custom programming language script
    Formatted language script runs on the Remote Control server that forces browser to send HTTP requests and then script catches the Ajax powered responses to extract content.

Selenium based Web Scraping is an easy task for small scale projects, but it consumes a lot of memory resources, since for each request it will launch a new browser instance.



Source: http://extract-web-data.com/selenium-ide-and-web-scraping/

Why Outsource Data Entry Services?

All large business and organizations are faced with the task of processing huge amounts of data on a daily basis. The data to be processed may range from indexing of vouchers and documents to collecting of information from customers and vendors. In order to save on the huge amount of time, energy and monetary resources which go into data entry, businesses world wide have discovered the multiple benefits of outsourcing their Data Entry Services to India. Along with quick turn around time, reliability of data accuracy and confidentiality of all client databases, outsourcing Data Entry Services to India also proves to be extremely cost-effective.

What are the kinds of Services that can be outsourced?

Most outsourcing companies provide custom made Data-Entry Services depending on the client's specifications. A few of them provided by Indian Outsourcing Companies are;

- Data entry from product catalogs to web based systems
- Entry from hard/soft copy to any preferred database format
- Insurance claims processing
- Image Entry
- Data mining and warehousing
- Data cleansing
- Entry from hospital records, patient notes and accident reports
- From e-book and e-magazine publications on the Internet
- Entry for mailing lists
- PDF document indexing
- Online data capture services
- Online order entry and follow up services
- Creating new databases and updating of existing databases for banks, airlines, government agencies
- direct marketing services and service providers
- Web based indexed document retrieval services, tools and support
- Entry of legal documents
- Indexing of vouchers and documents
- Hand written ballot/cards entry
- Online completion of surveys and responses of customers for various companies
- Business card indexing
- Custom data export/import interfaces with audits
- Bonded mail handling cash, credit and check processing
- Entry of Questionnaires
- Entry of Company Reports
- From Printed / Handwritten Source
- From Yellow Pages / White Pages
- Entry of Dictionaries, Manuals and Encyclopedia
- Entry of Surveys

What is the process?

Since most Indian companies hire only competent and highly qualified staff, outsourcing Data Entry Services to India ensures that the client is fully satisfied with the end result. Added to this the client's data confidentiality and security is viewed as extremely important. Each project goes through a specific data entry service plan that aims to fulfill the exact need of the customer and the error rate is always kept below 2-3%. The process is as follows:

- Data is processed, scanned and uploaded on to secure FTP online server
- Data is subsequently accessed over VPN and downloaded
- Data is individually indexed and sorted into private work folders
- Data is entered into specific applications as per client's requirements
- Data is checked and assessed for errors
- Data is finally sent to the customers

What are the benefits of outsourcing Services?

Oversees companies outsourcing their Data Entry Services to India have the assurance that their projects will be delivered on time with the highest levels of data quality and accuracy. The cost competitive prices, highly qualified employees, fast turnaround time and data security offered by outsourcing vendors, make sure that all of the client's objectives and goals are met. Outsourcing of these Services to India has been proven to be an advantageous choice for businesses worldwide.

Outsource2india provides Outsourcing Services and Solutions, Data Entry Services data processing services, data management, Business and Knowledge Process Outsourcing, Call Center Services, Healthcare Services, Engineering Services, Software Services, Digital Image Editing Services, Research & Analysis Services, Creative Services, Web Analytics Services, etc.




Source: http://ezinearticles.com/?Why-Outsource-Data-Entry-Services?&id=1428867

Monday, 23 September 2013

Data Mining and the Tough Personal Information Privacy Sell Considered

Everyone come on in and have a seat, we will be starting this discussion a little behind schedule due to the fact we have a full-house here today. If anyone has a spare seat next to them, will you please raise your hands, we need to get some of these folks in back a seat. The reservations are sold out, but there should be a seat for everyone at today's discussion.

Okay everyone, I thank you and thanks for that great introduction, I just hope I can live up to all those verbal accolades.

Oh boy, not another controversial subject! Yes, well, surely you know me better than that by now, you've come to expect it. Okay so, today's topic is one about the data mining of; Internet Traffic, Online Searches, Smart Phone Data, and basically, storing all the personal data about your whole life. I know, you don't like this idea do you - or maybe you participate online in social online networks and most of your data is already there, and you've been loading up your blog with all sorts of information?

Now then, contemporary theory and real world observation of the virtual world predicts that for a fee, or for a trade in free services, products, discounts, or a chance to play in social online networks, employment opportunity leads, or the prospects of future business you and nearly everyone will give up some personal information.

So, once this data is collected, who will have access to it, who will use it, and how will they use it? All great questions, but first how can the collection of this data be sold to the users, and agreed upon in advance? Well, this can at times be very challenging; yes, very tough sell, well human psychology online suggests that if we give benefits people will trade away any given data of privacy.

Hold That Thought.

Let's digress a second, and have a reality check dialogue, and will come back to that point above soon enough, okay - okay agreed then.

The information online is important, and it is needed at various national security levels, this use of data is legitimate and worthy information can be gained in that regard. For instance, many Russian Spies were caught in the US using social online networks to recruit, make business contacts, and study the situation, makes perfect sense doesn't it? Okay so, that particular episode is either; an excuse to gather this data and analyze it, or it is a warning that we had better. Either way, it's a done deal, next topic.

And, there is the issue with foreign spies using the data to hurt American businesses, or American interests, or even to undermine the government, and we must understand that spies in the United States come from over 70 other nations. And let's not dismiss the home team challenge. What's that you ask? Well, we have a huge intelligence industrial complex and those who work in and around the spy business, often freelance on the side for Wall Street, corporations, or other interests. They have access to information, thus all that data mined data is at their disposal.

Is this a condemnation of sorts; No! I am merely stating facts and realities behind the curtain of created realities of course, without judgment, but this must be taken into consideration when we ask; who can we trust with all this information once it is collected, stored, and in a format which can be sorted? So, we need a way to protect this data for the appropriate sources and needs, without allowing it to be compromised - this must be our first order of business.

Let's Undigress and Go Back to the Original Topic at hand, shall we? Okay, deal.

Now then, what about large corporate collecting information; Proctor and Gamble, Ford, GM, Amazon, etc? They will certainly be buying this data from social networks, and in many cases you've already given up your rights to privacy merely by participating. Of course, all the data will help these companies refine their sorts using your preferences, thus, the products or services they pitch you will be highly targeted to your exact desires, needs, and demographics, which is a lot better than the current bombardment of Viagra Ads with disgusting titles, now in your inbox, deleted junk files.

Look, here is the deal...if we are going to collect data online, through social networks, and store all that the data, then we also need an excuse to collect the data first place, or the other option is not tell the public and collect it anyway, which we already probably realize that is now being done in some form or fashion. But let's for the sake of arguments say it isn't, then should we tell the public we are doing, or are going to do this. Yes, however if we do not tell the public they will eventually figure it out, and conspiracy theories will run rampant.

We already know this will occur because it has occurred in the past. Some say that when any data is collected from any individual, group, company, or agency, that all those involved should also be warned on all the collection of data, as it is being collected and by whom. Including the NSA, a government, or a Corporation which intends on using this data to either sell you more products, or for later use by their artificial intelligence data scanning tools.

Likewise, the user should be notified when cookies are being used in Internet searchers, and what benefits they will get, for instance; search features to help bring about more relevant information to you, which might be to your liking. Such as Amazon.com which tracks customer inquiries and brings back additional relevant results, most online shopping eCommerce sites do this, and there was a very nice expose on this in the Wall Street Journal recently.

Another digression if you will, and this one is to ask a pertinent question; If the government or a company collects the information, the user ought to know why, and who will be given access to this information in the future, so let's talk about that shall we? I thought you might like this side topic, good for you, it shows you also care about these things.

And as to that question, one theory is to use a system that allows certain trusted sources in government, or corporations which you do business with to see some data, then they won't be able to look without being seen, and therefore you will know which government agencies, and which corporations are looking at your data, and therefore there will be transparency, and there would have to be at that point justification for doing so. Or most likely folks would have a fit and then, a proverbial field day with the intrusion in the media.

Now then, one recent report from the government asks the dubious question; "How do we define the purpose for which the data will be used?"

Ah ha, another great question in this on-going saga indeed. It almost sounds as if they too were one of my concerned audience members, or even a colleague. Okay so, it is important not only to define the purpose of the data collection, but also to justify it, and it better be good. Hey, I see you are all smiling now. Good, because, it's going to get a bit more serious on some of my next points here.

Okay, and yes this brings about many challenges, and it is also important to note that there will be, ALWAYS more outlets for the data, which is collected, as time goes on. Therefore the consumer, investor, or citizen who allows their data to be compromised, stored for later use for important issues such as national security, or for corporations to help the consumer (in this case you) in their purchasing decisions, or for that company's planning for inventory, labor, or future marketing (most likely; again to whom; ha ha ha, yes you are catching on; You.

Thus, shouldn't you be involved at every step of the way; Ah, a resounding YES! I see from our audience today, and yes, I would have expected nothing less from you either. And as all this process takes place, eventually "YOU" are going to figure out that this data is out of control, and ends up everywhere. So, should you give away data easily?

No, and if it is that valuable, hold out for more. And then, you will be rewarded for the data, which is yours, that will be used on your behalf and potentially against you in some way in the future; even if it is only for additional marketing impressions on the websites you visit or as you walk down the hallway at the mall;

"Let's see a show of hands; who has seen Minority Report? Ah, most of you, indeed, if you haven't go see, it and you will understand what we are all saying up here, and others are saying in the various panel discussions this weekend."

Now you probably know this, but the very people who are working hard to protect your data are in fact the biggest purveyors of your information, that's right our government. And don't get me wrong, I am not anti-government, just want to keep it responsible, as much is humanly possible. Consider if you will all the data you give to the government and how much of that public record is available to everyone else;

    Tax forms to the IRS,
    Marriage licenses,
    Voting Registration,
    Selective Services Card,
    Property Taxes,
    Business Licenses,
    Etc.

The list is pretty long, and the more you do, the more information they have, and that means the more information is available; everywhere, about who; "YOU! That's who!" Good I am glad we are all clear on that one. Yes, indeed, all sorts of things, all this information is available at the county records office, through the IRS, or with various branches of OUR government. This is one reason we should all take notice to the future of privacy issues. Often out government, but it could be any first world government, claims it is protecting your privacy, but it has been the biggest purveyors of giving away our personal and private data throughout American history. Thus, there will a little bit of a problem with consumers, taxpayers, or citizens if they no longer trust the government for giving away such things as;

    Date of birth,
    Social Security number,
    Driver's license,
    Driving record,
    Taxable information,
    Etc., on and on.

And let's not kid ourselves here all this data is available on anyone, it's all on the web, much of it can be gotten free, some costs a little, never very much, and believe me there is a treasure trove of data on each one of us online. And that's before we look into all the other information being collected now.

Now then, here is one solution for the digital data realm, including smart phone communication data, perhaps we can control and monitor the packet flow of information, whereby all packets of info is tagged, and those looking at the data will also be tagged, with no exceptions. Therefore if someone in a government bureaucracy is looking at something they shouldn't be looking at, they will also be tagged as a person looking for the data.

Remember the big to do about someone going through Joe The Plumber's records in OH, or someone trying to release sealed documents on President Bush's DUI when he was in his 20s, or the fit of rage by Sara Palin when someone hacked her Yahoo Mail Account, or when someone at a Hawaii Hospital was rummaging through Barak Obama's certificate of showing up at the hospital as a baby, with mother in tow?

We need to know who is looking at the data, and their reason better be good, the person giving the data has a right-to-know. Just like the "right-to-know" laws at companies, if there are hazardous chemicals on the property. Let me speak on another point; Border Security. You see, we need to know both what is coming and going if we are to have secure borders.

You see, one thing they found with our border security is it is very important not only what comes over the border, which we do need to monitor, but it's also important to see what goes back over the border the other way. This is how authorities have been able to catch drug runners, because they're able to catch the underground economy and cash moving back to Mexico, and in holding those individuals, to find out whom they work for - just like border traffic - our information goes both ways, if we can monitor for both those ways, it keeps you happier, and our data safer.

Another question is; "How do we know the purpose for data being collected, and how can the consumer or citizen be sure that mass data releases will not occur, it's occurred in almost every agency, and usually the citizens are warned that their data was released or that the data base containing their information was breached, but that's after the fact, and it just proves that data is like water, and it's hard to contain. Information wants to be free, and it will always find a way to leak out, especially when it's in the midst of humans.

Okay, I see my time is running short here, let me go ahead and wrap it up and drive through a couple main points for you, then I'll open it up for questions, of which I don't doubt there will be many, that's good, and that means you've been paying attention here today.

It appears that we need to collect data for national security purposes research, planning, and for IT system for future upgrades. And collecting data for upgrades of an IT system, you really need to know about the bulk transfers of data and the time, which that data flows, and therefore it can be anonymized.

For national security issues, and for their research, that data will have anomalies in it, and there are problems with anomalies, because can project a false positives, and to get it right they have to continually refine it all. And although this may not sit well with most folks, nevertheless, we can find criminals this way, spies, terrorist cells, or those who work to undermine our system and stability of our nation.

With regards to government and the collection of data, we must understand that if there are bad humans in the world, and there are. And if many of those who shall seek power, may not be good people, and since information is power, you can see the problem, as that information and power will be used to help them promote their own agenda and rise in power, but it undermines the trust of the system of all the individuals in our society and civilization.

On the corporate front, they are going to try to collect as much data on you as they can, they've already started. After all, that's what the grocery stores are doing with their rewards program if you hadn't noticed. Not all the information they are collecting they will ever use, but they may sell it to third part affiliates, partners, or vendors, so that's at issue. Regulation will be needed in this regard, but the consumer should also have choices, but they ought to be wise about those choices and if they choose to give away personal information, they should know the risks, rewards, consequences, and challenges ahead.

Indeed, I thank you very much, and be sure to pick up a handout on your way out, if you didn't already get one, from the good looking blonde, Sherry, at the door. Thanks again, and let's take a 5-minute break, and then head into the question and answer session, deal?




Source: http://ezinearticles.com/?Data-Mining-and-the-Tough-Personal-Information-Privacy-Sell-Considered&id=4868392

Saturday, 21 September 2013

Data Mining Social Networks, Smart Phone Data, and Other Data Base, Yet Maintaining Privacy

Is it possible to data mine social networks in such a way to does not hurt the privacy of the individual user, and if so, can we justify doing such? It wasn't too long ago the CEO of Google stated that it was important that they were able to keep data of Google searches so they can find disease, flu, and food born medical clusters. By using this data and studying the regions in the searches to help fight against outbreaks of diseases, or food borne illnesses in the distribution system. This is one good reason to store the data, and collect it for research, as long as it is anonomized, then theoretically no one is hurt.

Unfortunately, this also scares the users, because they know if the searches are indeed stored, this data can be used against them in the future, for instance, higher insurance rates, bombardment of advertising, or get them put onto some sort of future government "thought police" watch-list. Especially considering all the political correctness, and new ways of defining hate speech, bullying, and what is, what isn't, and what might be a domestically home-grown terrorist. The future concept of the thought police is very scary to most folks.

Usually if you want to collect data from a user, you have to give them something back in return, and therefore they are willing to sign away certain privacy rights on that data in trade for the use of such services; such as on their cell phone, perhaps a free iPhone app or a virtual product in an online social network.

Artificially Intelligent Search Features

It is no surprised that AI search features are getting smarter, even able to anticipate your next search question, or what you are really trying to ask, even second guessing your question for instance. Now then, let's discuss this for a moment. Many folks very much enjoy the features of Amazon.com search features, which use artificial intelligence to recommend potential other books, which they might be interested in. And therefore the user probably does not mind giving away information about itself, for this upgraded service or ability, nor would the person mind having cookies put onto their Web browser.

Nevertheless, these types of systems are always exploited for other purposes. For instance consider the Federal Trade Commission's do not call list, and consider how many corporations, political party organizations, and all of their affiliates and partners were able to bypass these rules due to the fact that the consumer or customer had bought something from them in the last six months. This is not what consumers or customers had in mind when they decided they wanted to have this "do not call list" and the resultant and response from the market place, well, it proves we cannot trust the telecommunication companies, their lobbyists, or the insiders within their group (many of which over the years have indeed been somehow connected to the intelligence agencies - AT&T - NSA Echelon for example.)

Now then, this article is in no way to be considered a conspiracy theory, it is just a known fact, yes national security does need access to such information, and often it might be relevant, catching bad guys, terrorists, spies, etc. The NSA is to protect the American People. However, when it comes to the telecommunication companies, their job is to protect shareholder's equity, maximize quarterly profits, expand their business models, and create new profit centers in their corporations.

Thus, such user data will be and has been exploited for future profits against the wishes of the consumer, without the consumer benefiting from free services for lower prices in any way. If there is an explained reason, trade-off, and a monetary consideration, the consumer might feel obliged to have additional calls bothering them while they are at home, additional advertising, and tracking of their preferences for ease of use and suggestions. What types of suggestions?

Well, there is a Starbucks two-blocks from here, turn right, then turn left and it is 200 yards, with parking available; "Sale on Frappachinos for gold-card holders today!" In this case the telecommunication company tracks your location, knows your preferences, and collects a small fee from Starbucks, and you get a free-phone, and 20% off your monthly 4G wireless fee. Is that something a consumer might want; when asked 75% of consumers or smart phone users say; yes. See that point?

In the future smart phones may have data transferred between them, rather than going through a given or closest cell tower. In other words, packets of information may go from your cell phone, to the next nearest cell phone, to another near cell phone, to the person which is intended to receive it. And the data passing through each mobile device, will not be able to read any of the information which was it is not assigned to receive as it wasn't sent to it. By using such a scheme telecommunication companies can expand their services without building more new cell towers, and therefore they can lower the price.

However, it also means that when you lay your cell phone on the table, and it is turned on it would be constantly passing data through it, data which is not yours, and you are not getting paid for that, even though you had to purchase the smart phone. But if the phone was given to you, with a large battery, so it wouldn't go dead during all those transmissions, you probably wouldn't care, as long as your data packets of information were indeed safe and no one else could read them.

This technology exists now, and is being discussed, and consider if you will that the whole strategy of networking smart cell phones or personal tech devices together is nothing new. For instance, the same strategies have been designed for satellites, and to use an analogy, this scheme is very similar to the strategies FedEx uses when it sends packages to the next nearest FedEx office if that is their destination, without sending all of the packages all the way across the country to the central Memphis sort, and then all the way back again. They are saving time, fuel, space, and energy, and if cell phones did this it would save the telecommunication companies mega bucks in the savings of building new cell towers.

As long as you got a free cell phone, which many of us do, unless we have the mega top of the line edition, and if they gave you a long-lasting free battery it is win-win for the user. You probably wouldn't care, and the telecommunication companies could most likely lower the cost of services, and not need to upgrade their system, because they can carry a lot more data, without hundreds of billions of dollars in future investments.

Also a net centric system like this is safer to disruption in the event of an emergency, when emergency communications systems take precedence, putting every cell phone user as secondary traffic at the cell towers, which means their calls may not even get through.

Next, the last thing the telecommunication company would want to do is to data mine that data, or those packets of information from people like a soccer mom calling her son waiting at the bus stop at school. And anyone with a cell phone certainly wouldn't want their packets of information being stolen from them and rerouted because someone near them hacked into the system and had a cell phone that was displaying all of their information.

You can see the problems with all this, but you can also see the incredible economies of scale by making each and every cell phone a transmitter and receiver, which it already is in principle anyway, at least now for all data you send and receive. In the new system, if all the data which is closest by is able to transfer through it, and send that data on its way. The receiving cell phone would wait for all the packets of data were in, and then display the information.

You can see why such a system also might cause people to have a problem with it because of what they call net neutrality. If someone was downloading a movie onto their iPad using a 3G or 4G wireless network, it could tie up all the cell phones nearby that were moving the data through them. In this case, it might upset consumers, but if that traffic could be somewhat delayed by priority based on an AI algorithm decision matrix, something simple, then such a tactic for packet distribution plan might allow for this to occur without disruption from the actual cell tower, meaning everyone would be better off. Therefore we all get information flow faster, more dispersed, and therefore safer from intruders. Please consider all this.




Source: http://ezinearticles.com/?Data-Mining-Social-Networks,-Smart-Phone-Data,-and-Other-Data-Base,-Yet-Maintaining-Privacy&id=4867112

Friday, 20 September 2013

Optimize Usage of Twitter With Data Mining

Twitter has become so popular and it is often thought of as very addictive and as more and more people are getting addicted to it, the more Twitter becomes an important medium for driving traffic to your website, marketing your products and services, or for just brand recognition purposes. As an internet marketer, you will always be interested in what's going on inside Twitter but with 40 million people located all over the world, it would be impossible to know it not unless you use additional tools to help you achieve this goal.

Twitter is a microblogging platform that is used by most people to inform their friends and loved ones what is curently going on in them, tweeters can also engaged in some sort of discussions and very recently more and more internet marketers use it to inform everyone about their company, business, products and services.

As an internet marketer, you will need to maximize your usage of Twitter. You may not just only need how to tweet efficiently or how you will be able to broadcast your tweets [http://moneymakingonlinetip.blogspot.com/2010/01/broadcast-your-tweets.html]. You will really need to know the current most talked about topics in twitter on a certain period of time for a certain geographical location. And by knowing this information, you will be able to define a good marketing strategy and how you can blend well with these people. Advertising in the right time and place would promise higher conversion rate translating to higher sales and earning more profits.

This can be achieved with the proper use of Data Mining Tools and Software. There is probably no such tools yet right at this moment, but for sure it will be an excellent strategy to acquire very useful information that will help you succeed in the business generated and extracted form data gathered from Twitter with the help of these Data Mining Tools and Software.



Source: http://ezinearticles.com/?Optimize-Usage-of-Twitter-With-Data-Mining&id=3589673

Wednesday, 18 September 2013

Understanding Data Mining

Well begun is half done. We can say that the invention of Internet is the greatest invention of the century which allows for quick information retrieval. It also has negative aspects, as it is an open forum therefore differentiating facts from fiction seems tough. It is the objective of every researcher to know how to perform mining of data on the Internet for accuracy of data. There are a number of search engines that provide powerful search results.

Knowing File Extensions in Data Mining

For mining data the first thing is important to know file extensions. Sites ending with dot-com are either commercial or sales sites. Since sales is involved there is a possibility that the collected information is inaccurate. Sites ending with dot-gov are of government departments, and these sites are reviewed by professionals. Sites ending with dot-org are generally for non-profit organizations. There is a possibility that the information is not accurate. Sites ending with dot-edu are of educational institutions, where the information is sourced by professionals. If you do not have an understanding you may take help of professional data mining services.

Knowing Search Engine Limitations for Data Mining

Second step is to understand when performing data mining is that majority search engines have filtering, file extension, or parameter. These are restrictions to be typed after your search term, for example: if you key in "marketing" and click "search," every site will be listed from dot-com sites having the term "marketing" on its website. If you key in "marketing site.gov," (without the quotation marks) only government department sites will be listed. If you key in "marketing site:.org" only non-profit organizations in marketing will be listed. However, if you key in "marketing site:.edu" only educational sites in marketing will be displayed. Depending on the kind of data that you want to mine after your search term you will have to enter "site.xxx", where xxx will being replaced by.com,.gov,.org or.edu.

Advanced Parameters in Data Mining

When performing data mining it is crucial to understand far beyond file extension that it is even possible to search particular terms, for example: if you are data mining for structural engineer's association of California and you key in "association of California" without quotation marks the search engine will display hundreds of sites having "association" and "California" in their search keywords. If you key in "association of California" with quotation marks, the search engine will display only sites having exactly the phrase "association of California" within the text. If you type in "association of California" site:.com, the search engine will display only sites having "association of California" in the text, from only business organizations.

If you find it difficult it is better to outsource data mining to companies like Online Web Research Services




Source: http://ezinearticles.com/?Understanding-Data-Mining&id=5608012

Mining Patent Data for Competitive Intelligence

Patents are not new, their presence was noted long back during 16th Centaury. In U.S. at the Constitutional Convention of 1787, a federal patent power was proposed by James Madison and Charles Pinckney and was adopted without debate as Article 1, Sec. 8, clause 8. The history of Patent Law began all the way back with the Constitution of the United States which was specific about providing protection for those who invent new and unique products. But after the TRIPS, intellectual property rights and patents gained importance to the business communities and industries. The retrieval of the patent information was made easy by internet and access to different patent databases. Patent are the source of the technological innovation and detailed mining of patent literature is proven to be useful of the Completive Intelligence.

This article attempts to analyze importance and methods for the patent data mining and their future use in the competitive intelligence. The key issues discussed in this article are:

a. Importance of the patent data mining;

b. Using patent data for competitive intelligence

Data Mining is a process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using statistical, data analysis and mathematical techniques. Patents are the most valuable and comprehensive source of the technological information and thus are very crucial for the industries. A very strong patent portfolio and IPR system is needed for a industry to compete the global market. An organization's patent portfolio forms a critical part of its IP holdings alongside its designs, trademarks, copyrights and trade secrets. Much of the value from a portfolio can only be realized through its effective management. In turn, that requires tools and techniques to help understand portfolio content, how and where this fits in with the organization's competencies and what the market opportunities are for exploiting the technology owned. There is also a need to identify gaps where complementary technology can be licensed in and identify non-core technology where know-how can be licensed out or divested for financial return. This is the province of patent mining. A clear and effective IP strategy critically incorporates a clear and effective strategy for managing an organization's patent portfolio.

There are several free and paid patent databases consisting of billions of the patent documents. The databases which are free to search the patents are as follows: USPTO, EPO, JPO, SurfIP, SIP, Freshpatents, Patentsonline, etc. Whereas different paid databases are, Delphion, Dialog, Micopat, etc. which also include inbuilt analysis tools.

The data obtained form these patent documents can be used for the competitive Intelligence. It is defined as process of discovering "competitor's" strategic decisions, or of business area characteristics, using quantitative analysis techniques applied to data and information, obtained through legal process, regarding the chosen competitor or business area. Patent searching and analysis is done based on the objective. Patent data can be used for the completive intelligence in different ways as mentioned below:

o Theme Search: Theme searches provide the overview of patents related to your field of interest. These searches are helpful to detect the recent trend of your technology area and to establish your R&D direction. As these searches are fully client-oriented, the point of our work and report format is supposed to be various according to your needs.

o Patentability Search (Novelty Search): Patentability search is the first step of patenting process. A patentability search surveys patents filed in each national intellectual property office to check whether there exist inventions similar to yours. If you have a plan to file your invention to other countries, this search is essential because the foreign application is quite costly.

o Search by keyword (Assignee, Inventor, etc): This search provides the information of patents retrieved by specific keywords including assignee, inventors, or IPC, etc.

o Family patent / Legal status search.

o Current Awareness Search: This search is to report new development in particular technology or patenting activity of competitors regularly. You can keep in touch with recent technology as well as detect your rival's R&D achievement and legal status of a particular patent with which you should consider continuously. This search is performed at interval specified by your requirement: weekly, monthly, or quarterly. Category.

o Legal Status report - Keep informed the current legal status and expected legal action of a particular patent.

o New Patent report - Keep informed the newly published or granted patents categorized in specific technology area defined by your searching queries.

o Patenting Activity report - Keep informed patenting activity of a particular assignee or inventor who you are interested in.

o Infringement Search: Infringement search is to check whether patent which can be infringed by your product being supposed to launch newly in a certain country exist or not in that country.

o Invalidity Search: When you intend to make some claims of a particular patent invalid, the invalid search can provide some prior art references that disclose claims that are infringed by the subject disclosure.

o Patent Map (Patent Analysis): Quantitative analysis based on statistical data of bibliographic information (country, assignee, IPC, etc). Qualitative analysis of core patents, Technological road map, multifarious analysis.

o Right-to-Use Searches: Right-to-Use searches are conducted, prior to marketing a new product, to confirm that the new product does not infringe on an existing patent or potentially infringe on a patent application.

Conclusion

These types of searches are primarily done using the different patent database and are very useful for competitive intelligence in the today's global prospective. Patent analysis and mining in combination with market research and financial assessment can build up a strong competitive environment for the competitors for the industries.



Source: http://ezinearticles.com/?Mining-Patent-Data-for-Competitive-Intelligence&id=42116

Tuesday, 17 September 2013

Data Conversion - Benefits of Outsourcing

Data is the most important part of an organization. An organization has multiple departments and the lots of data. It's important to save the data for the future references. This makes necessaries the importance of data conversion into multiple forms.

Huge number of data for conversion and extract process needs lots of efforts, resources, time and money. Therefore its better to outsource your data conversion work as it will save time and money as well.

Why most of the companies prefer outsourcing their conversion work because they get big benefits, as Outsourcing companies provides quick, reliable, high quality and accurate services. So you don't need to go for new employees and that's saves your time and money too. Data conversion is a functionally efficient tool to locate vital information accurately and speedily.

Let's have a view on the benefits of Outsourcing:

    It saves your time
    It provides high quality service
    It saves your operational cost
    Highly experienced and professionals handles the whole work.
    You will get accurate and reliable data
    You will get the conversion service as per you needs.
    60% reduction of total costing of projects
    Reduce the work load of management and administration departments.

There are different ways the data converted into. Its all depends upon the cases and requirement of Clients. Here is the format:

    PDF to Ms Word
    RTF Conversion
    TXT Conversion
    MS Word to PDF
    HTML Conversion
    XML Conversion
    PDF to Ms excel
    Ms excel to PDF
    eBook format conversion
    Image editing, cropping and enrichment by using different software
    Data vectorization
    Microfiche
    SGML conversion

Outsourcing Data conversion service is applicable for every type of Organization whether it is small or large. The quantity of outsourcing could be depends upon the area of Organization. Data conversion and data file conversion is meticulously handled ensuring zero risk of data loss. By outsourcing your Data conversion work you will have rich and accurate data with as per your needs for future work. Why not prefer outsourcing if its benefits you a lot.

Sapna Rawat is an SEO and also writing articles on large bases for Data entry outsourcing Company. You can find more detail about Data entry services on our website.



Source: http://ezinearticles.com/?Data-Conversion---Benefits-of-Outsourcing&id=2846754

Sunday, 15 September 2013

How Data Mining Can Help in Customer Relationship Management Or CRM?

Customer relationship management (CRM) is critical activity of improvising customer interactions while at the same time making the interactions more amicable through individualization. Data mining utilizes various data analysis and modeling methods to detect specific patterns and relationships in data. This helps in understanding what a customer wants and forecasting what they will do.

Using Data mining you can find out right prospects and offer them right products. This results in improved revenue because you can respond to each customer in best way using fewer resources.

Basic process of CRM data mining includes:
1. Define business objective
2. Construct marketing database
3. Analyze data
4. Visualize a model
5. Explore model
6. Set up model & start monitoring

Let me explain above steps in detail.

Define the business objective:
Every CRM process has one or more business objective for which you need to construct the suitable model. This model varies depending on your specific goal. The more precise your statement for defining the problem is the more successful is your CRM project.

Construct a marketing database:
This step involves creation of constructive marketing database since your operational data often don't contain the information in the form you want it. The first step in building your database is to clean it up so that you can construct clean models with accurate data.

The data you need may be scattered across different databases such as the client database, operational database and sales databases. This means you have to integrate the data into a single marketing database. Inaccurately reconciled data is a major source of quality issues.

Analyze the data:
Prior to building a correct predictive model, you must analyze your data. Collect a variety of numerical summaries (such as averages, standard deviations and so forth). You may want to generate a cross-section of multi-dimensional data such as pivot tables.

Graphing and visualization tools are a vital aid in data analysis. Data visualization most often provides better insight that leads to innovative ideas and success.




Source: http://ezinearticles.com/?How-Data-Mining-Can-Help-in-Customer-Relationship-Management-Or-CRM?&id=4572272

Friday, 13 September 2013

What is Data Mining?

Data mining is the process in which there is analysis of data forming different angles and perspectives and summarizing the same data into the relevant information. This kind of information could be utilized to increase the revenue, cutting the costs or both.

Software is mainly used for analyzing data and also assists in accumulation of data for the different sources and categorize and summarize the given data into some useful form.

Though the data mining is new term, the software used for mining the data was previously used. With the constant upgradations of the software and the processing power, the market tools, data mining software has increased in its accuracy. Formerly, this data mining was widely used by the businessmen for the market research and the analysis. There were few companies that used the computers to examine through the column of the supermarket data.

The data mining is the technique of running the data through the sophisticated algorithms for discovering the meaningful correlations and patterns that would have otherwise remained hidden. It is very helpful, since it aids in understanding the techniques and methods of business and you can accordingly apply your own intelligence fitting in the current market trend. Even the future performances get enhanced by the predictive analysis.

Business Intelligence operations occur in the background. Users of the mining operation can just see the end result. The users are in apposition to get the results through the mails and can also go through the recommendation through web pages and emails.

The data mining process indicates the invention of trends and tactics. The moment you discover and understand the market trends, you have the knowledge of which article is sold more and which article is sold with the other one. This kind of tend has an enormous impact on business organization. In this manner, the business gets enhanced as the market gets analyzed in a perfect manner. Due to these correlations, the performance of business organization increases to a lot of extent.

Mining gives a chance or opportunity to enhance the future performance of the business organization. There is a common philosophical phrase that, 'he who does not learn from the history is destined to repeat the same'. Therefore, if these predictions are done with the help and assistance of the historical information (data), then you can get sufficient data for improvising the products of the business organization.

Mining enables the embedding of the recommendations in the applications. Simple summary statements and the proposals can be displayed within the operational applications. Data mining also needs powerful machines. The algorithms might be applied to a Java or a Dataset code for using the same. Data mining is very useful for knowing the trends and making future predictions based on the predictive analysis. It also helps in cost cutting and increase in the revenue of the business organization

This article is part of Expertstown. You can visit Experts Town's Business Intelligence Blog for more information.



Source: http://ezinearticles.com/?What-is-Data-Mining?&id=3816784

Thursday, 12 September 2013

Things You Should Know about Data Mining or Data Capturing

The World Wide Web is a portal containing billions of quality information, spanning resources from around the globe. Through the years, the internet has developed into a competitive business environment which offers advertising, promotions, sales and marketing innovations that has rapidly created a following with most websites, and gave birth to online business transactions and unprecedented financial growth.

Data mining comes into the picture in quite an obscure procedure. Most companies utilize data entry level workers to edit or create listings for the items they promote or sell online. Data mining is that early stage prior to the data entry work which utilizes available resources online to gather bits and pieces of information relevant to the business or website they are categorizing.

In a certain point of view, data mining holds a great deal of importance, as the primary keeper of the quality of the items being listed by the data entry personnel as filtered through the stages under data mining and data capturing.

As mentioned earlier, data mining is a very obscure procedure. The reason for my saying this is because of the fact that certain restrictions or policies are enforced by websites or business institutions particularly on the quality of data capturing, which may seem too time-consuming, meticulous and stringent.

These methodologies are but without explanation as well. As only the most qualified resources bearing the most relevant information can be posted online. Many data mining personnel can only produce satisfactory work on the data entry levels, after enhancing the quality of output from the data mining or data capturing stage.

Data mining includes two common strategies. The first one would be a strategy based on manual labor and data checking, with the use of online or local manual tools and scripts to gather the right information. The second would be through the use of web crawlers or robots to perform the task of checking for information on various websites automatically. The second stage offers a faster method for gathering and listing information.

But often-times the procedure spit out very garbled data, often confusing personnel more than helping.

Data mining is a highly exhaustive activity, often expending more effort, time and money than other types of work. Leveling them out, local data mining is a sure fire method to gain rapid listings of information, as collected by the information miners.




Source: http://ezinearticles.com/?Things-You-Should-Know-about-Data-Mining-or-Data-Capturing&id=256125

Tuesday, 10 September 2013

What is Data Mining? Why Data Mining is Important?

Searching, Collecting, Filtering and Analyzing of data define as data mining. The large amount of information can be retrieved from wide range of form such as different data relationships, patterns or any significant statistical co-relations. Today the advent of computers, large databases and the internet is make easier way to collect millions, billions and even trillions of pieces of data that can be systematically analyzed to help look for relationships and to seek solutions to difficult problems.

The government, private company, large organization and all businesses are looking for large volume of information collection for research and business development. These all collected data can be stored by them to future use. Such kind of information is most important whenever it is require. It will take very much time for searching and find require information from the internet or any other resources.

Here is an overview of data mining services inclusion:

* Market research, product research, survey and analysis
* Collection information about investors, funds and investments
* Forums, blogs and other resources for customer views/opinions
* Scanning large volumes of data
* Information extraction
* Pre-processing of data from the data warehouse
* Meta data extraction
* Web data online mining services
* data online mining research
* Online newspaper and news sources information research
* Excel sheet presentation of data collected from online sources
* Competitor analysis
* data mining books
* Information interpretation
* Updating collected data

After applying the process of data mining, you can easily information extract from filtered information and processing the refining the information. This data process is mainly divided into 3 sections; pre-processing, mining and validation. In short, data online mining is a process of converting data into authentic information.

The most important is that it takes much time to find important information from the data. If you want to grow your business rapidly, you must take quick and accurate decisions to grab timely available opportunities.

Outsourcing Web Research is one of the best data mining outsourcing organizations having more than 17 years of experience in the market research industry. To know more information about our company please contact us.



Source: http://ezinearticles.com/?What-is-Data-Mining?-Why-Data-Mining-is-Important?&id=3613677

Data Mining and Its Impact on Business

Today, businesses are collecting more information that is available in a variety of formats. This includes: operational data, sales reports, customer data, inventory lists, forecast data, etc. In order to effectively manage and grow the business, all of the data gathered requires effective management and analysis. One such way of controlling the vast amount of information flow is a process called Data Mining.

Data mining is the process of taking a large amount of data and analyzing it from a variety of angles and putting into a format that makes it useful information to help a business improve operations, reduce costs, boost revenue, and make better business decisions. Today, effective data mining software has developed to help a business to collect and analyze useful information.

This process allows a business to collect data from a variety of sources, analyze the data using software, load the information into a database, store the information, and provide analyzed data in a useful format such as a report, table, or graph. As it relates to business analysis and business forecasting, the information analyzed is classified to determine important patterns and relationships. The idea is to identify relationships, patterns, and correlations from a broad number of different angles from a large database. These kinds of software and techniques allow a business easy access to a much simpler process which makes it more lucrative.

Data mining works allows a company to use the information to maintain competitiveness in a highly competitive business world. For instance, a company may be collecting a large volume of information from various regions of the country such as a consumer national survey. The software can compile the mined data, categorize it, and analyze it, to reveal a host of useful information that a marketer can use for marketing strategies. The outcome of the process should be an effective business analysis that allows a company to fully understand the information in order to make accurate business decisions that contributes to the success of the business. An example of a very effective use of data mining is acquiring a large amount of grocery store scanner data and analyzing it for market research. Data mining software allows for statistical analysis, data processing, and categorization, which all helps achieve accurate results.

It is mostly used by businesses with a strong emphasis on consumer information such shopping habits, financial analysis, marketing assessments...etc. It allows a business to determine key factors such as demographics, product positioning, competition, pricing, customer satisfaction, sales, and business expenditures. The result is the business is able to streamline its operations, develop effective marketing plans, and generate more sales. The overall impact is an increase in revenue and increased profitability.

For retailers, this process allows them to use of sales transactions to develop targeted marketing campaigns based on their customers shopping habits. Today, mining applications and software are available on all system sizes and platforms. For instance, the more information that has to be gathered and processed, the bigger the database. As well, the type of software a business will use depends on how complicated the data mining project. The more multifaceted the queries and the more queries performed, the more powerful system will be needed.

When a business harnesses the power of this system, they are able to gain important knowledge that will help them not only develop effective marketing strategies leading to better business decisions, but it will help identify future trends in their particular industry. Data mining has become an essential tool to help businesses gain a competitive edge.

Managing your organization well is critical - by using data mining software and being on top of performance management systems, you can ensure that your organization's information technology is up to par!




Source: Today, businesses are collecting more information that is available in a variety of formats. This includes: operational data, sales reports, customer data, inventory lists, forecast data, etc. In order to effectively manage and grow the business, all of the data gathered requires effective management and analysis. One such way of controlling the vast amount of information flow is a process called Data Mining.

Data mining is the process of taking a large amount of data and analyzing it from a variety of angles and putting into a format that makes it useful information to help a business improve operations, reduce costs, boost revenue, and make better business decisions. Today, effective data mining software has developed to help a business to collect and analyze useful information.

This process allows a business to collect data from a variety of sources, analyze the data using software, load the information into a database, store the information, and provide analyzed data in a useful format such as a report, table, or graph. As it relates to business analysis and business forecasting, the information analyzed is classified to determine important patterns and relationships. The idea is to identify relationships, patterns, and correlations from a broad number of different angles from a large database. These kinds of software and techniques allow a business easy access to a much simpler process which makes it more lucrative.

Data mining works allows a company to use the information to maintain competitiveness in a highly competitive business world. For instance, a company may be collecting a large volume of information from various regions of the country such as a consumer national survey. The software can compile the mined data, categorize it, and analyze it, to reveal a host of useful information that a marketer can use for marketing strategies. The outcome of the process should be an effective business analysis that allows a company to fully understand the information in order to make accurate business decisions that contributes to the success of the business. An example of a very effective use of data mining is acquiring a large amount of grocery store scanner data and analyzing it for market research. Data mining software allows for statistical analysis, data processing, and categorization, which all helps achieve accurate results.

It is mostly used by businesses with a strong emphasis on consumer information such shopping habits, financial analysis, marketing assessments...etc. It allows a business to determine key factors such as demographics, product positioning, competition, pricing, customer satisfaction, sales, and business expenditures. The result is the business is able to streamline its operations, develop effective marketing plans, and generate more sales. The overall impact is an increase in revenue and increased profitability.

For retailers, this process allows them to use of sales transactions to develop targeted marketing campaigns based on their customers shopping habits. Today, mining applications and software are available on all system sizes and platforms. For instance, the more information that has to be gathered and processed, the bigger the database. As well, the type of software a business will use depends on how complicated the data mining project. The more multifaceted the queries and the more queries performed, the more powerful system will be needed.

When a business harnesses the power of this system, they are able to gain important knowledge that will help them not only develop effective marketing strategies leading to better business decisions, but it will help identify future trends in their particular industry. Data mining has become an essential tool to help businesses gain a competitive edge.

Managing your organization well is critical - by using data mining software and being on top of performance management systems, you can ensure that your organization's information technology is up to par!

Article Source: http://EzineArticles.com/4528755

Monday, 9 September 2013

Outsource Data Mining Services to Offshore Data Entry Company

Companies in India offer complete solution services for all type of data mining services.

Data Mining Services and Web research services offered, help businesses get critical information for their analysis and marketing campaigns. As this process requires professionals with good knowledge in internet research or online research, customers can take advantage of outsourcing their Data Mining, Data extraction and Data Collection services to utilize resources at a very competitive price.

In the time of recession every company is very careful about cost. So companies are now trying to find ways to cut down cost and outsourcing is good option for reducing cost. It is essential for each size of business from small size to large size organization. Data entry is most famous work among all outsourcing work. To meet high quality and precise data entry demands most corporate firms prefer to outsource data entry services to offshore countries like India.

In India there are number of companies which offer high quality data entry work at cheapest rate. Outsourcing data mining work is the crucial requirement of all rapidly growing Companies who want to focus on their core areas and want to control their cost.

Why outsource your data entry requirements?

Easy and fast communication: Flexibility in communication method is provided where they will be ready to talk with you at your convenient time, as per demand of work dedicated resource or whole team will be assigned to drive the project.

Quality with high level of Accuracy: Experienced companies handling a variety of data-entry projects develop whole new type of quality process for maintaining best quality at work.

Turn Around Time: Capability to deliver fast turnaround time as per project requirements to meet up your project deadline, dedicated staff(s) can work 24/7 with high level of accuracy.

Affordable Rate: Services provided at affordable rates in the industry. For minimizing cost, customization of each and every aspect of the system is undertaken for efficiently handling work.

Outsourcing Service Providers are outsourcing companies providing business process outsourcing services specializing in data mining services and data entry services. Team of highly skilled and efficient people, with a singular focus on data processing, data mining and data entry outsourcing services catering to data entry projects of a varied nature and type.

Why outsource data mining services?

360 degree Data Processing Operations
Free Pilots Before You Hire
Years of Data Entry and Processing Experience
Domain Expertise in Multiple Industries
Best Outsourcing Prices in Industry
Highly Scalable Business Infrastructure
24X7 Round The Clock Services

The expertise management and teams have delivered millions of processed data and records to customers from USA, Canada, UK and other European Countries and Australia.

Outsourcing companies specialize in data entry operations and guarantee highest quality & on time delivery at the least expensive prices.



Source: http://ezinearticles.com/?Outsource-Data-Mining-Services-to-Offshore-Data-Entry-Company&id=4027029

Saturday, 7 September 2013

Data Mining Questions? Some Back-Of-The-Envelope Answers

Data mining, the discovery and modeling of hidden patterns in large volumes of data, is becoming a mainstream technology. And yet, for many, the prospect of initiating a data mining (DM) project remains daunting. Chief among the concerns of those considering DM is, "How do I know if data mining is right for my organization?"

A meaningful response to this concern hinges on three underlying questions:

    Economics - Do you have a pressing business/economic need, a "pain" that needs to be addressed immediately?
    Data - Do you have, or can you acquire, sufficient data that are relevant to the business need?
    Performance - Do you need a DM solution to produce a moderate gain in business performance compared to current practice?

By the time you finish reading this article, you will be able to answer these questions for yourself on the back of an envelope. If all answers are yes, data mining is a good fit for your business need. Any no answers indicate areas to focus on before proceeding with DM.

In the following sections, we'll consider each of the above questions in the context of a sales and marketing case study. Since DM applies to a wide spectrum of industries, we will also generalize each of the solution principles.

To begin, suppose that Donna is the VP of Marketing for a trade organization. She is responsible for several trade shows and a large annual meeting. Attendance was good for many years, and she and her staff focused their efforts on creating an excellent meeting experience (program plus venue). Recently, however, there has been declining response to promotions, and a simultaneous decline in attendance. Is data mining right for Donna and her organization?

Economics - Begin with economics - Is there a pressing business need? Donna knows that meeting attendance was down 15% this year. If that trend continues for two more years, turnout will be only about 60% of its previous level (85% x 85% x 85%), and she knows that the annual meeting is not sustainable at that level. It is critical, then, to improve the attendance, but to do so profitably. Yes, Donna has an economic need.

Generally speaking, data mining can address a wide variety of business "pains". If your company is experiencing rapid growth, DM can identify promising new retail locations or find more prospects for your online service. Conversely, if your organization is facing declining sales, DM can improve retention or identify your best existing customers for cross-selling and upselling. It is not advisable, however, to start a data mining effort without explicitly identifying a critical business need. Vast sums have been spent wastefully on mining data for "nuggets" of knowledge that have little or no value to the enterprise.

Data - Next, consider your data assets - Are sufficient, relevant data available? Donna has a spreadsheet that captures several years of meeting registrations (who attended). She also maintains a promotion history (who was sent a meeting invitation) in a simple database. So, information is available about the stimulus (sending invitations) and the response (did/did not attend). This data is clearly relevant to understanding and improving future attendance.

Donna's multi-year registration spreadsheet contains about 10,000 names. The promotion history database is even larger because many invitations are sent for each meeting, both to prior attendees and to prospects who have never attended. Sounds like plenty of data, but to be sure, it is useful to think about the factors that might be predictive of future attendance. Donna consults her intuitive knowledge of the meeting participants and lists four key factors:

    attended previously
    age
    size of company
    industry

To get a reasonable estimate for the amount of data required, we can use the following rule of thumb, developed from many years of experience:

Number of records needed ≥ 60 x 2^N (where N is the number of factors)

Since Donna listed 4 key factors, the above formula estimates that she needs 960 records (60 x 2^4 = 60 x 16). Since she has more than 10,000, we conclude Yes, Donna has relevant and sufficient data for DM.

More generally, in considering your own situation, it is important to have data that represents:

    stimulus and response (what was done and what happened)
    positive and negative outcomes

Simply put, you need data on both what works and what doesn't.

Performance - Finally, performance - Is a moderate improvement required relative to current benchmarks? Donna would like to increase attendance back to its previous level without increasing her promotion costs. She determines that the response rate to promotions needs to increase from 2% to 2.5% to meet her goals. In data mining terms, a moderate improvement is generally in the range of 10% to 100%. Donna's need is in this interval, at 25%. For her, Yes, a moderate performance increase is needed.

The performance question is typically the hardest one to address prior to starting a project. Performance is an outcome of the data mining effort, not a precursor to it. There are no guarantees, but we can use past experience as a guide. As noted for Donna above, incremental-to-moderate improvements are reasonable to expect with data mining. But don't expect DM to produce a miracle.

Conclusion

Summarizing, to determine if data mining fits your organization, you must consider:

    your business need
    your available data assets
    the performance improvement required

In the case study, Donna answered yes to each of the questions posed. She is well-positioned to proceed with a data mining project. You, too, can apply the same thought process before you spend a single dollar on DM. If you decide there is a fit, this preparation will serve you well in talking with your staff, vendors, and consultants who can help you move a data mining project forward.



Source: http://ezinearticles.com/?Data-Mining-Questions?-Some-Back-Of-The-Envelope-Answers&id=6047713

Thursday, 5 September 2013

Data Entry Services by a Virtual Assistant

Data Entry is a basic requirement for any business and it may appear to be simple to supervise and handle, this engage a lot of procedures that require a proper handling. Enormous modifications have taken place in the field of data entry and because of this data processing work has become really easier then before. So if you are looking to make data entry services useful to maintain the information and data of your company, you need a skilled virtual assistant. These days it is almost impossible to say Data Entry Services are costly; however, the fact is this by outsourcing a data process to country like India will be a good option for an organization to find a quality services with cost-effective solutions. All you need to choose you will hire a VA for the job you wanted to complete within a particular time frame, with quality and a cost-effective solution or to hire an in house employee for which you have to pay employee benefits such as sick pay, employee insurance, vacation pay, worker's compensation and much more. You are the best person to decide, you want to outsource the job to a virtual assistant who only charge for the job they work for after all this is your business.

Data Entry is one of the important features for your business and as a result you must make sure that this is dealt in a right direction. Outsourcing Data Entry service to a virtual assistant is not only a part of a business. With the enormous flow on the ground of Information Technology Data Conversion service is evenly significant. Data Conversion is the process to renovate the data in which data is converted from file source to another file type such as extracting the data from PDF file to excel spreadsheet and business world need these conversion for efficiency in performance. Virtual Assistant's are skilled enough to convert almost any file type to another for a business owner to access the data in any format.

By outsourcing your data entry jobs to a virtual assistant in India has been found very cost-effective solutions with quality of the job. Outsourcing Data Entry Services is one of the rise these days and the reason behind this is business owners has enjoyed the success of outsourcing the job to a virtual assistant. The major benefit of getting data entry services complete by a virtual assistant in India is they work really cheap and the work done by them is of top quality job. So if the data entry services provided by a virtual assistant are cheap and of top quality there is completely no possibility why someone would not take the benefits of a VA services.



Source: http://ezinearticles.com/?Data-Entry-Services-by-a-Virtual-Assistant&id=1665926

Text Data Mining Can Be Profitable

There are billions of search terms performed on the internet every year,and the companies which make use of this vast amount of information are the ones who will be able to market effectively in the future. It is here that text data mining comes into its own, a technique which enables researchers to find patterns within groups of text which will enable them to make predictions as to how customers or other groups of people will act in the future. This article will take a look at text data mining and how we can help various groups of people to find the best things in the data analysis.

It is always a good idea to do some study of the text mining techniques before going on to text mining implementation, and this can be said to be especially true of the insurance industry where not only text mining but also generic data mining using in statistics can be a great help in determining profitability and also showing actuaries how to make future calculations.

Consultancy is an important part of text data mining, and the text mining consultant can bring a huge amount of knowledge to a company whatever the service or services that are providing, particularly if he has an extensive knowledge of text data mining technology and can help to build a system around it.

Of course it is not only commercial applications that can use text mining, because it also has used in security, in that it can help to track criminal intent on the Internet. There are also applications in the biomedical world, in order to help find clusters of data in the right way. But it is in the online world and in the field of marketing that text mining is being used extensively, particularly in customer relationship management [CRM] techniques, where the tools are among some of the most advanced.

Knowing how text mining algorithms work is essential for any consultant who works in this field, because it is an important tool in the marketing technique possibilities. By understanding how text data mining can help an organization a consultant or marketer can make great strides in profitability and this is something that most organizations would be glad for.



Source: http://ezinearticles.com/?Text-Data-Mining-Can-Be-Profitable&id=2314536

Wednesday, 4 September 2013

Data Entry Outsourcing - 6 Key Benefits of Outsourced Data Entry

The effective data typing services are must and have to outsource because of globalization. Without information, no company can go ahead and become successful. At every point of making decisions, proper information is essential. So data is one of the most important parts in any organization. There must be proper management to keep the business running smoothly and effectively.

If you want reliable source for data handling, hire typing service company to outsource data entry task. Currently, solutions for every type of business needs are available at reasonable rate. As business grow, it is very hard to manage huge information. So, companies are turning to data entry outsourcing.

Here are the key benefits of data entry outsourcing:

1. All-in-One: data entry firms are offering numbers of services like, data processing, scanning, information formatting, document conversion, indexing and others. They also understand your requirement and deliver the output required format such as Word, Excel, JPG, HTML, XML and Other.

2. Resolve the Issues: As company grows, there are many issues arise like information about employees, benefits, healthcare for them, tuning with rapidly changing technologies, latest business information and others. If organization outsources some of their responsibilities, various issues get resolved quickly and automatically.

3. Better Services: You can expect superior data management and high quality services from outsourcing companies. They have experienced and skilled professionals with latest technologies to deliver unexpected result and stay ahead of other.

4. Least Cost: You can lower down your capital cost of infrastructure and other cost of salary, stationery and other, if you outsource data typing task. Through offshore companies, you can easily save up to 60% on data typing services.

5. Higher Efficiency: If your employees are free from routine and uninteresting process of entering information, they can deliver better result. Ultimately, this can increase the job satisfaction level and efficiency. You can expect high output at lower costs.

6. Place of Outsourcing: You must think about the outsourcing country. India is chosen by various companies for data typing outsourcing. At India, you can get benefits of better quality, enough infrastructure, quick delivery, skilled experts at very low rates.

You can easily reduce tons of time-consuming and boring responsibilities by outsourcing.


Source: http://ezinearticles.com/?Data-Entry-Outsourcing---6-Key-Benefits-of-Outsourced-Data-Entry&id=4253927

Tuesday, 3 September 2013

Data Management Services

In recent studies it has been revealed that any business activity has astonishing huge volumes of data, hence the ideas has to be organized well and can be easily gotten when need arises. Timely and accurate solutions are important in facilitating efficiency in any business activity. With the emerging professional outsourcing and data organizing companies nowadays many services are offered that matches the various kinds of managing the data collected and various business activities. This article looks at some of the benefits that accrue of offered by the professional data mining companies.

Entering of data

These kinds of services are quite significant since they help in converting the data that is needed in high ideal and format that is digitized. In internet some of this data can found that is original and handwritten. In printed paper documents and or text are not likely to contain electronic or needed formats. The best example in this context is books that need to be converted to e-books. In insurance companies they also depend on this process in processing the claims of insurance and at the same time apply to the law firms that offer support to analyze and process legal documents.

EDC

That is referred to as electronic data. This method is mostly used by clinical researchers and other related organization in medical. The electronic data and capture methods are used in the utilization in managing trials and research. The data mining and data management services are given in upcoming databases for studies. The ideas contained can easily be captured, other services being done and the survey taken.

Data changing

This is the process of converting data found in one format to another. Data extraction process often involves mining data from an existing system, formatting it, cleansing it and can be installed to enhance both availability and retrieving of information easily. Extensive testing and application are the requirements of this process. The service offered by data mining companies includes SGML conversion, XML conversion, CAD conversion, HTML conversion, image conversion.

Managing data service

In this service it involves the conversion of documents. It is where one character of a text may need to be converted to another. If we take an example it is easy to change image, video or audio file formats to other applications of the software that can be played or displayed. In indexing and scanning is where the services are mostly offered.

Data extraction and cleansing

Significant information and sequences from huge databases and websites extraction firms use this kind of service. The data harvested is supposed to be in a productive way and should be cleansed to increase the quality. Both manual and automated data cleansing services are offered by data mining organizations. This helps to ensure that there is accuracy, completeness and integrity of data. Also we keep in mind that data mining is never enough.

Web scraping, data extraction services, web extraction, imaging, catalog conversion, web data mining and others are the other management services offered by data mining organization. If your business organization needs such services here is one that can be of great significance that is web scraping and data mining




Source: http://ezinearticles.com/?Data-Management-Services&id=7131758