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/

Sunday 29 September 2013

Microsys A1 Website Scraper Review

The A1 scraper by Microsys is a program that is mainly used to scrape websites to extract data in large quantities for later use in webservices. The scraper works to extract text, URLs etc., using multiple Regexes and saving the output into a CSV file. This tool is can be compared with other web harvesting and web scraping services.
How it works
This scraper program works as follows:
Scan mode

    Go to the ScanWebsite tab and enter the site’s URL into the Path subtab.
    Press the ‘Start scan‘ button to cause the crawler to find text, links and other data on this website and cache them.

Important: URLs that you scrape data from have to pass filters defined in both analysis filters and output filters. The defining of those filters can be set at the Analysis filters and Output filters subtabs respectively. They must be set at the website analysis stage (mode).
Extract mode

    Go to the Scraper Options tab
    Enter the Regex(es) into the Regex input area.
    Define the name and path of the output CSV file.
    The scraper automatically finds and extracts the data according to Regex patterns.

The result will be stored in one CSV file for all the given URLs.

There is a need to mention that the set of regular expressions will be run against all the pages scraped.
Some more scraper features

Using the scraper as a website crawler also affords:

    URL filtering.
    Adjustment of the speed of crawling according to service needs rather than server load.

If  you need to extract data from a complex website, just disable Easy mode: out press the  button. A1 Scraper’s full tutorial is available here.
Conclusion

The A1 Scraper is good for mass gathering of URLs, text, etc., with multiple conditions set. However this scraping tool is designed for using only Regex expressions, which can increase the parsing process time greatly.



Source: http://extract-web-data.com/microsys-a1-website-scraper-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

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/

Wednesday 25 September 2013

How to scrape Yellow Pages with ScreenScraper Chrome Extension

Recently I was asked to help with the job of scraping company information from the Yellow Pages website using the ScreenScraper Chrome Extension. After working with this

simple scraper, I decided to create a tutorial on how to use this Google Chrome Extension for scraping pages similar to this one. Hopefully, it will be useful to many of you.
1. Install the Chrome Extension

You can get the extension here. After installation you should see a small monitor icon in the top right corner of your Chrome browser.
2. Open the source page

Let’s open the page from which you want to scrape the company information:

3. Determine the parent element (row)

The first thing you need to do for the scraping is to determine which HTML element will be the parent element. A parent element is the smallest HTML element that contains all

the information items you need to scrape (in our case they are Company Name, Company Address and Contact Phone).  To some extent a parent element defines a data row in the

resulting table.

To determine it, open Google Chrome Developer Tools (by pressing Ctrl+Shift+I), click the magnifying class (at the bottom of the window) and select the parent element on the

page. I selected this one:

As soon as you have selected it, look into the developer tools window and you will see the HTML code related to this element:

As is seen from the highlighted HTML line, you can easily define a parent element by its class: listingInfoAndLogo.
5. Determine the information elements (columns)

After you have learned how to determine the parent element, it should be easy to specify the information elements that contain the information you want to scrape (they

represent columns in the resultant table).

Just do this in the same way that you did it for the parent element -  by selecting it on the page:

and looking at the highlighted HTML code below:
As you can see, the company name is defined by businessName class.
6. Tune the ScreenScraper itself

After all the data elements you want to scrape are found, open the ScreenScraper by clicking the small monitor icon in the top-right corner of your browser. Then do the

following:

    Enter the parent element class name (listingInfoAndLogo in our case) into the Selector field, preceding it with a dot (*see below for why)
    Click the Add Column button
    Enter a field’s name (any) into the Field text box
    Enter the information item class into the Selector text box, preceding it with a dot
    Repeat steps 2-4 for each information item element you want to be scraped

*You need to put a dot before the class name because the ScreenScraper requires element definition in CSS Selector format only (with a dot before it)

After you enter all these definitions you should see the preview of the scraped data at the bottom of the extension’s window:

If the result is satisfactory you can download it in JSON or CSV format by pressing the corresponding button.


Source: http://extract-web-data.com/how-to-scrape-yellow-pages-with-screenscraper-chrome-extension/

A simple way to turn a website into JSON

Recently, while surfing the web I stumbled upon an simple web scraping service named Web Scrape Master. It is a kind of RESTful web service that extracts data from a specified web site and returns it to you in JSON format.
How it works

Though I don’t know what this service may be useful for, I still like its simplicity: all you need to do is to make an HTTP GET request, passing all necessary parameters in the query string:
http://webscrapemaster.com/api/?url={url}&xpath={xpath}&attr={attr}&callback={callback}

    url  - the URL of the website you want to scrape
    xpath – xpath determining the data you need to extract
    attr - attribute the name you need to get the value of (optional)
    callback - JSON callback function (optional)

For example, for the following request to our testing ground:

http://webscrapemaster.com/api/?url=http://testing-ground.extract-web-data.com/blocks&xpath=//div[@id=case1]/div[1]/span[1]/div

You will get the following response:

[{"text":"<div class='name'>Dell Latitude D610-1.73 Laptop Wireless Computer</div>","attrs":{"class":"name"}}]
Visual Web Scraper

Also, this service offers a special visual tool for building such requests. All you need to do is to enter the URL of the website and click to the element you need to scrape:
Visual Web Scraper
Conclusion

Though I understand that the developer of this service is attempting to create a simple web scraping service, it is still hard to imagine where it can be useful. The task that the service does can be easily accomplished by means of any language.

Probably if you already have software receiving JSON from the web, and you want to feed it with data from some website, then you may find this service useful. The other possible application is to hide your IP when you do web scraping. If you have other ideas, it would be great if you shared them with us.



Source: http://extract-web-data.com/a-simple-way-to-turn-a-website-into-json/

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/

Monday 23 September 2013

Basics of Web Data Mining and Challenges in Web Data Mining Process

Today World Wide Web is flooded with billions of static and dynamic web pages created with programming languages such as HTML, PHP and ASP. Web is great source of information offering a lush playground for data mining. Since the data stored on web is in various formats and are dynamic in nature, it's a significant challenge to search, process and present the unstructured information available on the web.

Complexity of a Web page far exceeds the complexity of any conventional text document. Web pages on the internet lack uniformity and standardization while traditional books and text documents are much simpler in their consistency. Further, search engines with their limited capacity can not index all the web pages which makes data mining extremely inefficient.

Moreover, Internet is a highly dynamic knowledge resource and grows at a rapid pace. Sports, News, Finance and Corporate sites update their websites on hourly or daily basis. Today Web reaches to millions of users having different profiles, interests and usage purposes. Every one of these requires good information but don't know how to retrieve relevant data efficiently and with least efforts.

It is important to note that only a small section of the web possesses really useful information. There are three usual methods that a user adopts when accessing information stored on the internet:

• Random surfing i.e. following large numbers of hyperlinks available on the web page.
• Query based search on Search Engines - use Google or Yahoo to find relevant documents (entering specific keywords queries of interest in search box)
• Deep query searches i.e. fetching searchable database from eBay.com's product search engines or Business.com's service directory, etc.

To use the web as an effective resource and knowledge discovery researchers have developed efficient data mining techniques to extract relevant data easily, smoothly and cost-effectively.




Source: http://ezinearticles.com/?Basics-of-Web-Data-Mining-and-Challenges-in-Web-Data-Mining-Process&id=4937441

Sunday 22 September 2013

Data Mining and Financial Data Analysis

Introduction:

Most marketers understand the value of collecting financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer. Data mining - technologies and techniques for recognizing and tracking patterns within data - helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs as well as financial need. In this accessible introduction, we provides a business and technological overview of data mining and outlines how, along with sound business processes and complementary technologies, data mining can reinforce and redefine for financial analysis.

Objective:

1. The main objective of mining techniques is to discuss how customized data mining tools should be developed for financial data analysis.

2. Usage pattern, in terms of the purpose can be categories as per the need for financial analysis.

3. Develop a tool for financial analysis through data mining techniques.

Data mining:

Data mining is the procedure for extracting or mining knowledge for the large quantity of data or we can say data mining is "knowledge mining for data" or also we can say Knowledge Discovery in Database (KDD). Means data mining is : data collection , database creation, data management, data analysis and understanding.

There are some steps in the process of knowledge discovery in database, such as

1. Data cleaning. (To remove nose and inconsistent data)

2. Data integration. (Where multiple data source may be combined.)

3. Data selection. (Where data relevant to the analysis task are retrieved from the database.)

4. Data transformation. (Where data are transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations, for instance)

5. Data mining. (An essential process where intelligent methods are applied in order to extract data patterns.)

6. Pattern evaluation. (To identify the truly interesting patterns representing knowledge based on some interesting measures.)

7. Knowledge presentation.(Where visualization and knowledge representation techniques are used to present the mined knowledge to the user.)

Data Warehouse:

A data warehouse is a repository of information collected from multiple sources, stored under a unified schema and which usually resides at a single site.

Text:

Most of the banks and financial institutions offer a wide verity of banking services such as checking, savings, business and individual customer transactions, credit and investment services like mutual funds etc. Some also offer insurance services and stock investment services.

There are different types of analysis available, but in this case we want to give one analysis known as "Evolution Analysis".

Data evolution analysis is used for the object whose behavior changes over time. Although this may include characterization, discrimination, association, classification, or clustering of time related data, means we can say this evolution analysis is done through the time series data analysis, sequence or periodicity pattern matching and similarity based data analysis.

Data collect from banking and financial sectors are often relatively complete, reliable and high quality, which gives the facility for analysis and data mining. Here we discuss few cases such as,

Eg, 1. Suppose we have stock market data of the last few years available. And we would like to invest in shares of best companies. A data mining study of stock exchange data may identify stock evolution regularities for overall stocks and for the stocks of particular companies. Such regularities may help predict future trends in stock market prices, contributing our decision making regarding stock investments.

Eg, 2. One may like to view the debt and revenue change by month, by region and by other factors along with minimum, maximum, total, average, and other statistical information. Data ware houses, give the facility for comparative analysis and outlier analysis all are play important roles in financial data analysis and mining.

Eg, 3. Loan payment prediction and customer credit analysis are critical to the business of the bank. There are many factors can strongly influence loan payment performance and customer credit rating. Data mining may help identify important factors and eliminate irrelevant one.

Factors related to the risk of loan payments like term of the loan, debt ratio, payment to income ratio, credit history and many more. The banks than decide whose profile shows relatively low risks according to the critical factor analysis.

We can perform the task faster and create a more sophisticated presentation with financial analysis software. These products condense complex data analyses into easy-to-understand graphic presentations. And there's a bonus: Such software can vault our practice to a more advanced business consulting level and help we attract new clients.

To help us find a program that best fits our needs-and our budget-we examined some of the leading packages that represent, by vendors' estimates, more than 90% of the market. Although all the packages are marketed as financial analysis software, they don't all perform every function needed for full-spectrum analyses. It should allow us to provide a unique service to clients.

The Products:

ACCPAC CFO (Comprehensive Financial Optimizer) is designed for small and medium-size enterprises and can help make business-planning decisions by modeling the impact of various options. This is accomplished by demonstrating the what-if outcomes of small changes. A roll forward feature prepares budgets or forecast reports in minutes. The program also generates a financial scorecard of key financial information and indicators.

Customized Financial Analysis by BizBench provides financial benchmarking to determine how a company compares to others in its industry by using the Risk Management Association (RMA) database. It also highlights key ratios that need improvement and year-to-year trend analysis. A unique function, Back Calculation, calculates the profit targets or the appropriate asset base to support existing sales and profitability. Its DuPont Model Analysis demonstrates how each ratio affects return on equity.

Financial Analysis CS reviews and compares a client's financial position with business peers or industry standards. It also can compare multiple locations of a single business to determine which are most profitable. Users who subscribe to the RMA option can integrate with Financial Analysis CS, which then lets them provide aggregated financial indicators of peers or industry standards, showing clients how their businesses compare.

iLumen regularly collects a client's financial information to provide ongoing analysis. It also provides benchmarking information, comparing the client's financial performance with industry peers. The system is Web-based and can monitor a client's performance on a monthly, quarterly and annual basis. The network can upload a trial balance file directly from any accounting software program and provide charts, graphs and ratios that demonstrate a company's performance for the period. Analysis tools are viewed through customized dashboards.

PlanGuru by New Horizon Technologies can generate client-ready integrated balance sheets, income statements and cash-flow statements. The program includes tools for analyzing data, making projections, forecasting and budgeting. It also supports multiple resulting scenarios. The system can calculate up to 21 financial ratios as well as the breakeven point. PlanGuru uses a spreadsheet-style interface and wizards that guide users through data entry. It can import from Excel, QuickBooks, Peachtree and plain text files. It comes in professional and consultant editions. An add-on, called the Business Analyzer, calculates benchmarks.

ProfitCents by Sageworks is Web-based, so it requires no software or updates. It integrates with QuickBooks, CCH, Caseware, Creative Solutions and Best Software applications. It also provides a wide variety of businesses analyses for nonprofits and sole proprietorships. The company offers free consulting, training and customer support. It's also available in Spanish.

ProfitSystem fx Profit Driver by CCH Tax and Accounting provides a wide range of financial diagnostics and analytics. It provides data in spreadsheet form and can calculate benchmarking against industry standards. The program can track up to 40 periods.




Source: http://ezinearticles.com/?Data-Mining-and-Financial-Data-Analysis&id=2752017

Friday 20 September 2013

Digitize Data With Data Processing Services

Unorganized data might cost you your numero UNO position in your domain. If you have well-organized data, it will not only be helpful in decision-making but will also guarantee a smooth flow of your business. If you are stuck with heaps of documents to be converted into electronic format. Then, outsourcing your files to a company providing Large Volume Data Processing Services is the most accurate and efficient option.

Data processing is the process in which computer programs and other processing systems are used to analyze, summarize and convert the data into an electronic format.

It involves a series of process which are: -

    Validation - This process checks that whether the entries are correct or not.
    Sorting - In this process, sorting is done either sequentially or in various sets.
    Summarize data - This process summarizes the data into main points.
    Aggregation - Combination of different fragments of records takes place in this process.
    Analysis - This process involves the analysis, interpretation and presentation of the collected and organized data.

Data processing companies have comprehensive knowledge about all the above mentioned steps and will provide a complete package of Large volume data processing services which includes: -

    Manual data entry
    Forms based data capture
    Full text data capture
    Digitization
    Document conversion
    Word Processing
    e-Book conversion
    Data extraction from web
    OCR- Optical character recognition

By outsourcing, you can get rid of large volumes of data pretty quickly and can lay more stress on core business activities.

You will have access to many other benefits like: -

    Heaps of cluttered and unorganized work will be organized, sorted and digitized.
    You can make use of neatly organized data to make informed business decisions.
    Chances of losing data will be scarce once it is digitized.
    You can do away with unwanted data and get access to relevant data.
    You can cut down the operating costs and need not incur any expenses in setting up infrastructure.
    You can get the data converted into a form of your choice.

Companies that deal with Large volume data processing services have the experience, expertise, manpower and technology to deliver results as per your expectations. They can handle your bulk of data easily and process it in your desired format within the deadline.

If you want your large volume of data to be digitized with accuracy and at cost-effective rates, choose an outsourcing company which has years of experience in providing Large volume data processing services. You just need to spend a few hours browsing on the net and then short-listing the prospectives. Once you are done with going through the portfolio of these firms and are contented with their information, you can negotiate the rate with them and stipulate the time.

This article about large volume data Processing services has been authored by Sam Efron. He is an experienced technical content writer from data-entry-india.com. With several years of experience and expertise of writing about Data Processing Services, he brings a seasoned maturity and knowledge to his articles.




Source: http://ezinearticles.com/?Digitize-Data-With-Data-Processing-Services&id=7963690

Thursday 19 September 2013

Data Mining Process - Why Outsource Data Mining Service?

Overview of Data Mining and Process:
Data mining is one of the unique techniques for investigating information to extract certain data patterns and decide to outcome of existing requirements. Data mining is widely use in client research, services analysis, market research and so on. It is totally based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

Information mining is mostly used by financial analyzer, business and professional organization and also there are many growing area of business that are get maximum advantages of data extract with use of data warehouses in their small to large level of businesses.

Most of functionalities which are used in information collecting process define as under:

* Retrieving Data

* Analyzing Data

* Extracting Data

* Transforming Data

* Loading Data

* Managing Databases

Most of small, medium and large levels of businesses are collect huge amount of data or information for analysis and research to develop business. Such kind of large amount will help and makes it much important whenever information or data required.

Why Outsource Data Online Mining Service?

Outsourcing advantages of data mining services:
o Almost save 60% operating cost
o High quality analysis processes ensuring accuracy levels of almost 99.98%
o Guaranteed risk free outsourcing experience ensured by inflexible information security policies and practices
o Get your project done within a quick turnaround time
o You can measure highly skilled and expertise by taking benefits of Free Trial Program.
o Get the gathered information presented in a simple and easy to access format

Thus, data or information mining is very important part of the web research services and it is most useful process. By outsource data extraction and mining service; you can concentrate on your co relative business and growing fast as you desire.

Outsourcing web research is trusted and well known Internet Market research organization having years of experience in BPO (business process outsourcing) field.

If you want to more information about data mining services and related web research services, then contact us.




Source: http://ezinearticles.com/?Data-Mining-Process---Why-Outsource-Data-Mining-Service?&id=3789102

Wednesday 18 September 2013

Every Business Organization Needs Data Entry Services

Data entry is the main component of any business firm. They use this to maintain records of all sorts in a properly way. Although it seems to be an easier task but this is not the scenario, the work has to be done very cautiously and efficiently by the professional as data is very crucial. Data is priceless for any organization irrespective of their size and strength. Today, huge changes in the business industry have taken place and so businesses are adopting such new advanced techniques. These high end technologies have helped the data entry services in becoming much easier and efficient than ever before. If you are seeking to this service then must be prepared to spend more for this. So hiring this service will certainly help your business towards upward growth. Well, being the owner of your business, you are the best person to judge what will be a good strategy for your business. You can either hire a professional or can hire an outside firm to assist your data entry services task.

The newer methods of data entry services have over lapped the older and traditional methods of this service. Earlier, this service was done manually and obviously in-accuracy was found much more. So, information technology enabled services have come up with the new process that has made this service highly accurate and much easier. Indeed, every business wants to deal with this service very efficiently and accurately and so many have taken this highly enabled service for their firm. Data entry services are the key aspect of any business organization and every business needs a proper system to maintain its data and records. As data is crucial aspect of any firm irrespective of specialization or size and so they are in need of such an efficient system that can undertake their task.

An in-house data entry services would be more advantageous as you can keep a watch on the task done by professional. You can look into the procedure and other stuff that they do for your business. This can be bit expensive for your business as you will have to pay more as being an employee they are eligible for bonuses, allowances and other stuffs. If you are not satisfied with this option then you can undertake the services of a third party vendor. You can hand-over your entire task of data entry to them and can relieve of getting an efficient services. This can truly relieve you of getting a better service from them as you can get your task done in the way you desire. This option has proved to be more advantageous and proficient for many businesses. Now a day's data conversion process is highly accessed by many business firms and so gaining momentum on a large scale.

Data conversion is being done without any hassle and brings more customers to buy the products. Outsourcing of data entry services has seen huge success and businesses have seen huge profits through this service. This service has proved as a cost effective business strategy for businesses and have seen huge surge in their revenue.So, it's quite obvious that hiring data entry services from a third party vendor is better for the business then why to hire an in-house professional.



Source: http://ezinearticles.com/?Every-Business-Organization-Needs-Data-Entry-Services&id=596342

Tuesday 17 September 2013

Data Mining: Its Description and Uses

Data mining also known as the process of analyzing the KDD which stands for Knowledge Discovery in Databases is a part of statistics and computer science. It is a process which aims to find out many various patterns in enormous sets of relational data.

It uses ways at the fields of machine learning, database systems, artificial intelligence, and statistics. It permits users to examine data from many various perspectives, sort it, and summarize the identified relationships.

In general, the objective of data mining process is to obtain info out of a data set and convert it into a comprehensible outline. Also, it includes the following: data processing, data management and database aspects, visualization, complexity considerations, online updating, inference and model considerations, and interestingness metrics.

On the other hand, the actual data mining assignment is the semi-automatic or automatic exploration of huge quantities of information to extract patterns that are interesting and previously unknown. Such patterns can be the unusual records or the anomaly detection, data records groups or the cluster analysis, and the dependencies or the association rule mining. Usually, this involves utilizing database methods like spatial indexes. Such patters could be perceived as a type of summary of input data, and could be used in further examination or, for example, in predictive analysis and machine learning.

Today, data mining is utilized by different consumer-focused companies like those in the financial, retails, marketing, and communications fields. It permits such companies to find out relationships among the internal aspects like staff skills, price, product positioning, and external aspects like customer information, competition, and economic indicators. Additionally, it allows them to define the effect on corporate profits, sales, and customer satisfaction; and dig into the summary information to be able to see transactional data in detail.

With data mining process, a retailer can make use of point-of-scale customer purchases records to send promotions based on the purchase history of a client. The retailer can improve products and campaigns or promotions that can be appealing to a definite customer group by using mining data from comment cards.

Generally, any of the following relationships are obtained.

1. Associations: Data could be mined to recognize associations.
2. Clusters: Data are sorted based on a rational relationships or consumer preferences.
3. Sequential Patters: Data is mined to expect patterns and trends in behavior.
4. Classes: Data that are stored are utilized to trace data in predetermined segments.

Visit the website of Conducive to learn more about mining data management in Perth, Tibco software in Perth, and how to get the most suitable technology for your company, visit Conducive website, http://www.conducive.com.au.




Source: http://ezinearticles.com/?Data-Mining:-Its-Description-and-Uses&id=7252273

Monday 16 September 2013

Web Data Extraction Services

Web Data Extraction from Dynamic Pages includes some of the services that may be acquired through outsourcing. It is possible to siphon information from proven websites through the use of Data Scrapping software. The information is applicable in many areas in business. It is possible to get such solutions as data collection, screen scrapping, email extractor and Web Data Mining services among others from companies providing websites such as Scrappingexpert.com.

Data mining is common as far as outsourcing business is concerned. Many companies are outsource data mining services and companies dealing with these services can earn a lot of money, especially in the growing business regarding outsourcing and general internet business. With web data extraction, you will pull data in a structured organized format. The source of the information will even be from an unstructured or semi-structured source.

In addition, it is possible to pull data which has originally been presented in a variety of formats including PDF, HTML, and test among others. The web data extraction service therefore, provides a diversity regarding the source of information. Large scale organizations have used data extraction services where they get large amounts of data on a daily basis. It is possible for you to get high accuracy of information in an efficient manner and it is also affordable.

Web data extraction services are important when it comes to collection of data and web-based information on the internet. Data collection services are very important as far as consumer research is concerned. Research is turning out to be a very vital thing among companies today. There is need for companies to adopt various strategies that will lead to fast means of data extraction, efficient extraction of data, as well as use of organized formats and flexibility.

In addition, people will prefer software that provides flexibility as far as application is concerned. In addition, there is software that can be customized according to the needs of customers, and these will play an important role in fulfilling diverse customer needs. Companies selling the particular software therefore, need to provide such features that provide excellent customer experience.

It is possible for companies to extract emails and other communications from certain sources as far as they are valid email messages. This will be done without incurring any duplicates. You will extract emails and messages from a variety of formats for the web pages, including HTML files, text files and other formats. It is possible to carry these services in a fast reliable and in an optimal output and hence, the software providing such capability is in high demand. It can help businesses and companies quickly search contacts for the people to be sent email messages.

It is also possible to use software to sort large amount of data and extract information, in an activity termed as data mining. This way, the company will realize reduced costs and saving of time and increasing return on investment. In this practice, the company will carry out Meta data extraction, scanning data, and others as well.

please visit Data extraction services to take care of your online as well as offline projects and to get your work done in given time frame with exceptional quality.



Source: http://ezinearticles.com/?Web-Data-Extraction-Services&id=4733722

Sunday 15 September 2013

Effective Online Data Entry Services

The outsourcing market has many enthusiastic buyers who have paid a small amount to online data entry service providers. They carry the opinion that they have paid too low as against the work they have got done. Online services is helpful to a number of smaller business units who take these projects as their significant source of occupation.

Online data-entry services include data typing, product entry, web and mortgage research, data mining as well as extraction services. Service providers allot proficient workforce at your service who timely deliver best possible results. They have updated technology, guaranteeing 100% data security.

Few obvious benefits found by outsourcing online data entry:

    Business units receive quality online entry services from projects owners.
    Entering data is the first step for companies through which they get the understanding of the work that makes strategic decisions. The raw data represented by mere numbers soon turns to be a decision making factor accelerating the progress of the business.
    Systems used by these services are completely protected to maintain high level of security.
    As you increasingly obtain high quality of information the business executive of the company is expected to arrive at extraordinary decisions which influence progress in the company.
    Shortened turnaround time.
    Cutting down on cost by saving on operational overheads.

Companies are highly fascinated by the benefits of outsourcing your projects for these services, as it saves time as well as money.

Flourishing companies want to concentrate on their key business activities instead of exploring into such non-key business activities. They take a wise step of outsourcing their work to data-entry-services and keep themselves free for their core business functions.




Source: http://ezinearticles.com/?Effective-Online-Data-Entry-Services&id=5681261

Friday 13 September 2013

Data Extraction - A Guideline to Use Scrapping Tools Effectively

So many people around the world do not have much knowledge about these scrapping tools. In their views, mining means extracting resources from the earth. In these internet technology days, the new mined resource is data. There are so many data mining software tools are available in the internet to extract specific data from the web. Every company in the world has been dealing with tons of data, managing and converting this data into a useful form is a real hectic work for them. If this right information is not available at the right time a company will lose valuable time to making strategic decisions on this accurate information.

This type of situation will break opportunities in the present competitive market. However, in these situations, the data extraction and data mining tools will help you to take the strategic decisions in right time to reach your goals in this competitive business. There are so many advantages with these tools that you can store customer information in a sequential manner, you can know the operations of your competitors, and also you can figure out your company performance. And it is a critical job to every company to have this information at fingertips when they need this information.

To survive in this competitive business world, this data extraction and data mining are critical in operations of the company. There is a powerful tool called Website scraper used in online digital mining. With this toll, you can filter the data in internet and retrieves the information for specific needs. This scrapping tool is used in various fields and types are numerous. Research, surveillance, and the harvesting of direct marketing leads is just a few ways the website scraper assists professionals in the workplace.

Screen scrapping tool is another tool which useful to extract the data from the web. This is much helpful when you work on the internet to mine data to your local hard disks. It provides a graphical interface allowing you to designate Universal Resource Locator, data elements to be extracted, and scripting logic to traverse pages and work with mined data. You can use this tool as periodical intervals. By using this tool, you can download the database in internet to you spread sheets. The important one in scrapping tools is Data mining software, it will extract the large amount of information from the web, and it will compare that date into a useful format. This tool is used in various sectors of business, especially, for those who are creating leads, budget establishing seeing the competitors charges and analysis the trends in online. With this tool, the information is gathered and immediately uses for your business needs.

Another best scrapping tool is e mailing scrapping tool, this tool crawls the public email addresses from various web sites. You can easily from a large mailing list with this tool. You can use these mailing lists to promote your product through online and proposals sending an offer for related business and many more to do. With this toll, you can find the targeted customers towards your product or potential business parents. This will allows you to expand your business in the online market.

There are so many well established and esteemed organizations are providing these features free of cost as the trial offer to customers. If you want permanent services, you need to pay nominal fees. You can download these services from their valuable web sites also.




Source: http://ezinearticles.com/?Data-Extraction---A-Guideline-to-Use-Scrapping-Tools-Effectively&id=3600918

Thursday 12 September 2013

Various Data Mining Techniques

Also called Knowledge Discover in Databases (KDD), data mining is the process of automatically sifting through large volumes of data for patterns, using tools such as clustering, classification, association rule mining, and many more. There are several major data mining techniques developed and known today, and this article will briefly tackle them, along with tools for increased efficiency, including phone look up services.

Classification is a classic data mining technique. Based on machine learning, it is used to classify each item on a data set into one of predefined set of groups or classes. This method uses mathematical techniques, like linear programming, decision trees, neural network, and statistics. For instance, you can apply this technique in an application that predicts which current employees will most probably leave in the future, based on the past records of those who have resigned or left the company.

Association is one of the most used techniques, and it is where a pattern is discovered basing on a relationship of a specific item on other items within the same transaction. Market basket analysis, for example, uses association to figure out what products or services are purchased together by clients. Businesses use the data produced to devise their marketing campaign.

Sequential patterns, too, aim to discover similar patterns in data transaction over a given business phase or period. These findings are used for business analysis to see relationships among data.

Clustering makes useful cluster of objects that maintain similar characteristics using an automatic method. While classification assigns objects into predefined classes, clustering defines the classes and puts objects in them. Predication, on the other hand, is a technique that digs into the relationship between independent variables and between dependent and independent variables. It can be used to predict profits in the future - a fitted regression curve used for profit prediction can be drawn from historical sale and profit data.

Of course, it is highly important to have high-quality data in all these data mining techniques. A multi-database web service, for instance, can be incorporated to provide the most accurate telephone number lookup. It delivers real-time access to a range of public, private, and proprietary telephone data. This type of phone look up service is fast-becoming a defacto standard for cleaning data and it communicates directly with telco data sources as well.

Phone number look up web services - just like lead, name, and address validation services - help make sure that information is always fresh, up-to-date, and in the best shape for data mining techniques to be applied.

Equip your business with better leads and get better conversion rates by using phone look up and similar real-time web services.



Source: http://ezinearticles.com/?Various-Data-Mining-Techniques&id=6985662

Wednesday 11 September 2013

Data Recovery Services - When You're Facing A Wipeout

Your computer files are the foundation of your business. What if one day you awaken to find that your computer has crashed, and the foundation of you business appears to have crumbled? Are those files nothing but dust on the winds of cyberspace? Or is there a way to gather up their bits and bytes, reassemble them, and lay the bricks of a new foundation?

There very well may be, but it requires the skilled handling of one of the many data recovery services which have come to the rescue of more computer-driven businesses than you might believe. And they have not retrieved data only for small business proprietors; data recovery services have been the saving of many a multi-million dollar operation or project. Data recovery services have also practiced good citizenship in recovering data erased from the hard drives of undesirables.

Finding Data Recovery Services

If you're someone who neglected, or never learned how, to back up your hard drive, it's time to call for help from one of the data recover service by doing an online search and finding one, if possible, nearby. If you have to settle for one of the data recovery services I another area, so be it. You're not in a position to quibble, are you?

You'll need to extract your non-functioning hard drive from your PC and send it out to have data recovery services administered. Whichever of the data recovery services company you have chosen will examine you hard drive's memory to determine how much of the data on it can be restored, and give you an estimate of the job's cost.

Only you are the expert on the importance of that data to your future, and only you can decide whether or not the price quoted by the data recovery services company is acceptable. If you think you can find a way to work around the lost data, simply tell the data recovery services company to return your hard drive.

What You'll Get For Your Money

But before you do that, consider exactly what the data recovery services will entail, and why they are not cheap. Your mangled hard drive will be taken to a clean room absolutely free of dust, and operated on with tools of surgical precision so that even the tiniest bits of functional data can be retrieved.

If their price still seems too high, ask the data recovery services company what their policy is if they find that they are unable to retrieve a meaningful amount of data. Many of them will not charge you if they cannot help your situation.

Data recovery services companies offer high-tech, high-cost solutions, but you won't find anyone else who can do what they do. So next time, backup your hard drive, but if your future is really at stake, then data recovery services are the best chance you have of getting it back.




Source: http://ezinearticles.com/?Data-Recovery-Services---When-Youre-Facing-A-Wipeout&id=615548

Monday 9 September 2013

Advantages of Online Data Entry Services

People all over the world are enthusiastic to buy online data entry services as they find it cost effective. Most of them have an impression that they get quality services against the prices they have to pay. Entering data online is of a great help to business units of all sizes as they consider them as their main basis of profession.

Online data entering and typing services providers have skilled resources at their service who deliver quality work timely. These service providers have modernized technology, assuring cent percent security of data. Online data entry services include the following:

    Data entry
    Data Processing
    Product entry
    Data typing
    Data mining, Data capture/collection
    Business Process Outsourcing
    Data Conversion
    Form Filling
    Web and mortgage research
    Extraction services
    Online copying, pasting, editing, sorting, as well as indexing data
    E-books and e-magazines data entry

Get companies world wide quality services to business units of all sizes, some of the common input formats are:

    PDF
    TIFF
    GIF
    XBM
    JPG
    PNG
    BMP
    TGA
    XML
    HTML
    SGML
    Printed documents
    Hard copies, etc

Benefits of outsourcing online data entering services:

Major benefits of data entry for business units is that they get the facts and figures which helps in taking strategic decisions for the organization. The data projected by numbers turns to be a factor of evaluation that accelerates the progress of the business. Online data typing services maintain high level of security by using systems that are highly protected.

The business organization progresses because of right decisions taken with the help of superior quality data available.

    Save operational overhead expense.
    Saves time and space.
    Accurate services can be accessed.
    Eliminating the paper documents.
    Cost effective.
    Data accessible from anywhere in the world.
    100% work satisfaction.
    Access to professional and experienced data typing services.
    Adequate knowledge of wide range industrial needs.
    Use of highly advance technologies for quality results.

Business organizations find themselves blessed because of the benefits they receive out of outsourcing their projects on online data entering and typing services, because it not only saves their time but also saves a huge amount of money.

Upcoming business companies can focus on their key business functions instead of dealing with non-key business activities. They find it sensible to outsource their confidential and crucial projects to trustworthy online data entry services and remain free for their key business activities. These companies have several layers of quality control which assures 99.9% quality on projects on online data entry.



Source: http://ezinearticles.com/?Advantages-of-Online-Data-Entry-Services&id=6526483

Sunday 8 September 2013

Data Conversion Services - Transform Your Data Professionally

Data is least comprehensible when it is in a format unsupported by many of the usual data reading systems. This leaves us with a prudent choice - to convert data, which are in different formats to one or many of those commonly used formats. However, conversion shall get tricky and tedious if done by people who don't have any proficiency in transforming the formats. Data conversion services are being done by a team of experts who form a company and do this quite professionally. Resorting to such professionals would mean a lot to your business since they are the ones who are capable of producing desires output with the least possible proportion of error in the documented files that they submit at the end of the conversion process.

Many service providers especially from India have proven their capabilities of handling bulk projects quite regularly yet being able to deliver error-free documented forms of the desired output. To add, they have got the right mix of technological resources in the shape of few domestic systems in conjunction with a few resourceful application software with which they are able to deliver results every time. Plus, they also tend to put a line of validating systems in place so as to make sure there is not any undesirable change effected in the output once the conversion process is done. Once they manage to find a few mistakes or anomalies in the conversion system, they don't hesitate to overcome those by putting them under check and removing the bugs at necessary instances.

Only quite a few types of conversion are beholden as to be the primary ones having superior importance to several conversion mechanisms. In fact, the scenario is that the large scale and medium scale businesses demand only quite a few conversion mechanisms such as the PDF Conversion, XML Conversion, Book conversion, HTML Conversion to end with the OCR conversion. Through such a scattered set of primary data conversion practices, they lend their hand to assist in converting, extracting relevant amount of data from the sources, transcribing the rich set of essential information relevant to the current needs of the client and consolidating data so that on the whole the entire set of converted data is compatible to be read by the systems incorporated in the client's place.

No doubt, the data presented to them regardless of its format will be returned as a readily usable piece of information that can be customized to any form that we need it to see in. In most of the cases, they do not consume much of the time than what they should be given since they are dealing with several processes concurrently whose progress reflects on the output you receive from them. Moreover, they also shunt the possibility of these important data to be hacked by any third party by providing enough protection. Till niow, you have been reading about some benefits that you enjoy about the data conversion services, which do not charge much for working on your documents. Isn't it the biggest of all benefits?

Isn't it something important to catch hold of a reliable data conversion services provider? If you think so simply follow this link and you would get close to having a high-quality data conversion services transform raw data into usable piece of official information.



Source: http://ezinearticles.com/?Data-Conversion-Services---Transform-Your-Data-Professionally&id=4679971

Friday 6 September 2013

What You Should Know About Data Mining

Often called data or knowledge discovery, data mining is the process of analyzing data from various perspectives and summarizing it into useful information to help beef up revenue or cut costs. Data mining software is among the many analytical tools used to analyze data. It allows categorizing of data and shows a summary of the relationships identified. From a technical perspective, it is finding patterns or correlations among fields in large relational databases. Find out how data mining works and its innovations, what technological infrastructures are needed, and what tools like phone number validation can do.

Data mining may be a relatively new term, but it uses old technology. For instance, companies have made use of computers to sift through supermarket scanner data - volumes of them - and analyze years' worth of market research. These kinds of analyses help define the frequency of customer shopping, how many items are usually bought, and other information that will help the establishment increase revenue. These days, however, what makes this easy and more cost-effective are disk storage, statistical software, and computer processing power.

Data mining is mainly used by companies who want to maintain a strong customer focus, whether they're engaged in retail, finance, marketing, or communications. It enables companies to determine the different relationships among varying factors, including staffing, pricing, product positioning, market competition, and social demographics.

Data mining software, for example, vary in types: statistical, machine learning, and neural networks. It seeks any of the four types of relationships: classes (stored data is used for locating data in predetermined groups), clusters (data are grouped according to logical relationships or consumer preferences), associations (data is mined to identify associations), and sequential patterns (data is mined to estimate behavioral trends and patterns). There are different levels of analysis, including artificial neural networks, genetic algorithms, decision trees, nearest neighbor method, rule induction, and data visualization.

In today's world, data mining applications are available on all size systems from client/server, mainframe, and PC platforms. When it comes to enterprise-wide applications, the size usually ranges from 10 gigabytes to more than 11 terabytes. The two important technological drivers are the size of the database and query complexity. A more powerful system is required with more data being processed and maintained, and with more complex and greater queries.

Programmable XML web services like phone number validation will assist your company in improving the quality of your data needed for data mining. Used to validate phone numbers, a phone number validation service allows you to improve the quality of your contact database by eliminating invalid telephone numbers at the point of entry. Upon verification, phone number and other customer information can work wonders for your business and its constant improvement.



Source: http://ezinearticles.com/?What-You-Should-Know-About-Data-Mining&id=6916646

Thursday 5 September 2013

Data Mining Process - Why Outsource Data Mining Service?

Overview of Data Mining and Process:
Data mining is one of the unique techniques for investigating information to extract certain data patterns and decide to outcome of existing requirements. Data mining is widely use in client research, services analysis, market research and so on. It is totally based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

Information mining is mostly used by financial analyzer, business and professional organization and also there are many growing area of business that are get maximum advantages of data extract with use of data warehouses in their small to large level of businesses.

Most of functionalities which are used in information collecting process define as under:

* Retrieving Data

* Analyzing Data

* Extracting Data

* Transforming Data

* Loading Data

* Managing Databases

Most of small, medium and large levels of businesses are collect huge amount of data or information for analysis and research to develop business. Such kind of large amount will help and makes it much important whenever information or data required.

Why Outsource Data Online Mining Service?

Outsourcing advantages of data mining services:
o Almost save 60% operating cost
o High quality analysis processes ensuring accuracy levels of almost 99.98%
o Guaranteed risk free outsourcing experience ensured by inflexible information security policies and practices
o Get your project done within a quick turnaround time
o You can measure highly skilled and expertise by taking benefits of Free Trial Program.
o Get the gathered information presented in a simple and easy to access format

Thus, data or information mining is very important part of the web research services and it is most useful process. By outsource data extraction and mining service; you can concentrate on your co relative business and growing fast as you desire.

Outsourcing web research is trusted and well known Internet Market research organization having years of experience in BPO (business process outsourcing) field.

If you want to more information about data mining services and related web research services, then contact us.



Source: http://ezinearticles.com/?Data-Mining-Process---Why-Outsource-Data-Mining-Service?&id=3789102

Wednesday 4 September 2013

Professional Data Entry Services - Ensure Maximum Security for Data

Though a lot of people have concerns about it, professional data entry services can actually ensure maximum security for your data. This is in addition to the quality and cost benefits that outsourcing provides anyway. The precautionary measures for data protection would begin from the time you provide your documents/files for entry to the service provider till completion of the project and delivery of the final output to you. Whether performed onshore or offshore, the security measures are stringent and effective. You only have to make sure you outsource to the right service provider. Making use of the free trials offered by different business process outsourcing companies would help you choose right.

BPO Company Measures for Data Protection and Confidentiality

• Data Remains on Central Servers - The company would ensure that all data remains on the central servers and also that all processing is done only on these servers. No text or images would leave the servers. The company's data entry operators cannot download or print any of this data.

• Original Documents Are Not Circulated - The source files or documents (hard copies) which you give to the service provider is not distributed as such to their staff. This source material is scanned with the help of high speed document scanners. The data would be keyed from scanned images or extracted utilizing text recognition techniques.

• Source Documents Safely Disposed Of - After use, your source documents would be disposed of in a secure manner. Whenever necessary, the BPO company would get assistance from a certified document destruction company. Such measures would keep your sensitive documents from falling into the hands of unauthorized personnel.

• Confidentiality - All staff would be required to sign confidentiality agreements. They would also be apprised of information protection policies that they would have to abide by. In addition, the different projects of various clients would be handled in segregated areas.

• Security Checks - Surprise security checks would be carried out to ensure that there is adherence to data security requirements when performing data entry services.

• IT Security - All computers used for the project would be password protected. These computers would additionally be provided with international quality anti-virus protection and advanced firewalls. The anti-virus software would be updated promptly.

• Backup - Regular backups would be done of information stored in the system. The backup data would be locked away securely.

• Other Measures - Other advanced measures that would be taken for information protection include maintenance of a material and personnel movement register, firewalls and intrusion detection, 24/7 security manning the company's premises, and 256 bit AES encryption.

Take Full Advantage of It

Take advantage of professional data entry services and ensure maximum security for your data. When considering a particular company to outsource to, do ask them about their security measures in addition to their pricing and turnaround.



Source: http://ezinearticles.com/?Professional-Data-Entry-Services---Ensure-Maximum-Security-for-Data&id=6961870

Accelerating Accumulated Data Mining

We all have heard of Data Mining and we have all seen the abilities it can produce, but we also know how tedious the collection of data can be. It is the same for a little small company with a few customers as it is for a large company with millions of customers. Additionally how do you keep your data safe?

We have all heard of Identity Theft and the importance of secure data. But just because we have spent millions of dollars in IT work does not mean we know it is accurate? Things change fast you see; people get new telephone numbers, change addresses and jobs at least one of the three every three years. The chances of any database having accurate information is simply not possible.

Thus if we are data mining we need a way to verify which data sets are accurate and believe it or not the last set of data may not be the most accurate therefore we cannot simply discard the old data for the new data you see? We need ways to accelerate the accumulated data so we can run through it as fast as possible yet we must insure that our data mining techniques are taking into consideration miss matched data and incorrect data, along with inaccurate data.

Data Mining may have been over hyped a little and those business systems or even government data mining systems at the NSA; if they do not take into consideration these thoughts they are basically worthless and should not be considered you see? Think on this in 2006.



Source: http://ezinearticles.com/?Accelerating-Accumulated-Data-Mining&id=202738

Monday 2 September 2013

Web Data Extraction Services and Data Collection Form Website Pages

For any business market research and surveys plays crucial role in strategic decision making. Web scrapping and data extraction techniques help you find relevant information and data for your business or personal use. Most of the time professionals manually copy-paste data from web pages or download a whole website resulting in waste of time and efforts.

Instead, consider using web scraping techniques that crawls through thousands of website pages to extract specific information and simultaneously save this information into a database, CSV file, XML file or any other custom format for future reference.

Examples of web data extraction process include:
• Spider a government portal, extracting names of citizens for a survey
• Crawl competitor websites for product pricing and feature data
• Use web scraping to download images from a stock photography site for website design

Automated Data Collection
Web scraping also allows you to monitor website data changes over stipulated period and collect these data on a scheduled basis automatically. Automated data collection helps you discover market trends, determine user behavior and predict how data will change in near future.

Examples of automated data collection include:
• Monitor price information for select stocks on hourly basis
• Collect mortgage rates from various financial firms on daily basis
• Check whether reports on constant basis as and when required

Using web data extraction services you can mine any data related to your business objective, download them into a spreadsheet so that they can be analyzed and compared with ease.

In this way you get accurate and quicker results saving hundreds of man-hours and money!

With web data extraction services you can easily fetch product pricing information, sales leads, mailing database, competitors data, profile data and many more on a consistent basis.



Source: http://ezinearticles.com/?Web-Data-Extraction-Services-and-Data-Collection-Form-Website-Pages&id=4860417

Sunday 1 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