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/

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/

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/

Research Data Analysis of Web Traffic

I want to share on the research which was done by some Estonian students concerning web traffic analysis. The case study they undertook is about mining frequent user access patterns from web log files. The primary objective was to discover the most frequent browsing patterns by analyzing the browsing sessions in logs.

Since they worked with browser logs from the public school web site,  some preliminary work is to be done.
Data preparation

Some steps were done for data preparation:

    Data cleaning (only GET and POST requests are taken into consideration. OPTIONS requests were excluded; other refining)
    Group user requests that were made during one visit were gathered into sessions. (t=30 min threshold)

Objective

Most important: whether or not there are groups of pages which users tend to visit together.
They proceeded to identify the frequent “item sets”: sets of pages most frequently appearing together in the visitors’ sessions. The data mining value called “support” was taken as an identifier whether a certain item set is frequent or not.

After identifying such item sets, we run into this problem: simply by listing all frequent item sets, we will not see much about how users actually use the website -  for two reasons:

    frequent item sets do not capture the order of pages visited
    information about multiple page visits is lost when constructing item sets.

Frequent sequential patterns

Finding such sequences can be accomplished by searching for sequences of clicks that more often than not are followed by each other. E.g., let us consider pages A, B, C and D. The click sequence might be: A-B-C-B-D-C-B-A… This involved also the amount of time spent on those pages (derived from the log files by calculating the time interval between two clicks). There is a slight adjestment for the http request responce time. For the frequent sequences, they found all sessions that contain the sequence, and then calculated average time spent viewing each page in that sequence. The greatest amount of time, however, turned out to be in those frequent sequences where the pages were visited only because of navigation and not for content. This might help to eliminate this site’s shortcoming.
Path traversal pattern mining

From here, methods were used to mine only those reference sequences (patterns), that contain forward navigations. Those patterns illustrate what people are looking for (ex. destination pages) and eliminate back references from sessions.
User specified pages

One may also isolate the patterns with the most relevant pages (interesting for analysis). The output would contain the more relevant patterns with higher support. This method provides a simple way to analyze use cases separately and thoroughly.
Changes in patterns through time

The data set was split up into two sections: August and September data. Sequential patterns found for both datasets were compared with the same relative support. Results revealed the change in page content that people generally reach. The change was slight, but it revealed some measure of seasonal behavior by users.
Conclusion

The research shows a practical example of how traditional frequent pattern mining algorithms can be useful in a web analytics context and in understanding website users’ needs. Sequential patterns along with time spent on pages helped to identify hop-pages and interesting page sequences.

As for time changing methods, changes in patterns through time might be used to compare user interests for different time periods.





Source: http://extract-web-data.com/research-data-analysis-of-web-traffic/

About Outsourcing Data Entry Services

Data can be defined as numbers or characters that usually represent the dimensions or measurements. Data entry can be applied to any process that coverts data from one form to another. These services cover almost all business and professional services like data conversion, online and offline data entry, document and image processing; image entry, insurance claim entry, data processing, form processing, etc. Also collecting numerous data related to certain topics and then to present them in meaningful & easy to understand presentations.

Data entry services are very useful in business firms and organizations as there is a huge demand of entry work. These services are considered as the central part in any of the businesses. These services are useful to organize and manage your data/information in digital format. One of the types is data processing that generally programmed on a mainframe, minicomputer, microcomputer or personal computer. These systems are used for entry related work and to convert data into information.

About Data Entry Outsourcing
Outsourcing means to hire the services from a third party for your requirements. No sooner did outsourcing get support from the global technological development than business organizations started outsourcing entry. Data entry outsourcing is a simple contract between two different identities for any type of data entry service.

The main purpose for doing outsourcing is the availability of qualified and experienced computer operators at low cost. There are various types of entry operations such as data conversion, data processing, catalog processing services, image enhancement, image editing and photo manipulation services, etc, provided by BPO Services firms.

How helpful Services are?
o Data entry services help the companies for sharpening their foundation, analyzing their operations, strategies, policies, activities.

o Data processing services also encircle a variety of methods for how data is processed and to what extent the data is prepared to yield the best of the outcomes for the company.

o Data Conversion services help the business to convert information into easy format that is useful to increase online and offline popularity of business.

These all mechanisms help large as well as small business to enhance their internal process. These also help companies to increase their productivity and develop healthy external contacts.

Bea Arthur invites you to Data Entry India, which provides Data Entry Services, Data Conversion Services, and Data Processing Services. They have vast experience in all types of services.




Source: http://ezinearticles.com/?About-Outsourcing-Data-Entry-Services&id=2747714

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

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.

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 at: http://www.outsourcingwebresearch.com/data-mining.php OR send your data mining needs on info@outsourcingwebresearch.com.




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

Data Mining Basics

Definition and Purpose of Data Mining:

Data mining is a relatively new term that refers to the process by which predictive patterns are extracted from information.

Data is often stored in large, relational databases and the amount of information stored can be substantial. But what does this data mean? How can a company or organization figure out patterns that are critical to its performance and then take action based on these patterns? To manually wade through the information stored in a large database and then figure out what is important to your organization can be next to impossible.

This is where data mining techniques come to the rescue! Data mining software analyzes huge quantities of data and then determines predictive patterns by examining relationships.

Data Mining Techniques:

There are numerous data mining (DM) techniques and the type of data being examined strongly influences the type of data mining technique used.

Note that the nature of data mining is constantly evolving and new DM techniques are being implemented all the time.

Generally speaking, there are several main techniques used by data mining software: clustering, classification, regression and association methods.

Clustering:

Clustering refers to the formation of data clusters that are grouped together by some sort of relationship that identifies that data as being similar. An example of this would be sales data that is clustered into specific markets.

Classification:

Data is grouped together by applying known structure to the data warehouse being examined. This method is great for categorical information and uses one or more algorithms such as decision tree learning, neural networks and "nearest neighbor" methods.

Regression:

Regression utilizes mathematical formulas and is superb for numerical information. It basically looks at the numerical data and then attempts to apply a formula that fits that data.

New data can then be plugged into the formula, which results in predictive analysis.

Association:

Often referred to as "association rule learning," this method is popular and entails the discovery of interesting relationships between variables in the data warehouse (where the data is stored for analysis). Once an association "rule" has been established, predictions can then be made and acted upon. An example of this is shopping: if people buy a particular item then there may be a high chance that they also buy another specific item (the store manager could then make sure these items are located near each other).

Data Mining and the Business Intelligence Stack:

Business intelligence refers to the gathering, storing and analyzing of data for the purpose of making intelligent business decisions. Business intelligence is commonly divided into several layers, all of which constitute the business intelligence "stack."

The BI (business intelligence) stack consists of: a data layer, analytics layer and presentation layer.

The analytics layer is responsible for data analysis and it is this layer where data mining occurs within the stack. Other elements that are part of the analytics layer are predictive analysis and KPI (key performance indicator) formation.

Data mining is a critical part of business intelligence, providing key relationships between groups of data that is then displayed to end users via data visualization (part of the BI stack's presentation layer). Individuals can then quickly view these relationships in a graphical manner and take some sort of action based on the data being displayed.

Steve Bogdon is the Advertising director for Dashboard Insight, one of the fastest growing business intelligence (BI) sites on the web. Dashboard Insight is an authoritative and trusted online resource for the business intelligence, data visualization and dashboard software communities.




Source: http://ezinearticles.com/?Data-Mining-Basics&id=5120773

Data Entry - 5 Concerns While Outsourcing Data Entry

The world becomes open market for your business because of globalization. Business must set high efficiency level to encourage the output. Apart from core business, one has to perform non-core activities to smoothen the business performance. Managing information is one of the monotonous activities. You can go for data entry but it is, once again, mind-numbing and time-consuming task.

Companies can pick data entry firm in order to have accurate and reliable information handling. There are various data typing services available for different types of businesses for reasonable cost. However, there are continues growth of data typing firms; one must find the best practice and reputed firm to outsource.

Here are 5 concerns while outsourcing data entry:

Affordable Cost: it is the most concern issue of almost any firm that wants to outsource. It is very true that one can save up to 60% of their data typing cost if they outsource such task to country like India.

High Accuracy: The accurate output is also important factor that matters a lot while outsourcing. Without accurate information, companies can not take proper decision and make loss. A good data typing firm is offering 99.98% accuracy. So, there is no need to worry about such.

Time Frame: Companies require the information quickly. If you have huge information and want typing, choose the firm having numbers of professionals and using special techniques to quicken the task.

Data Confidentiality: After listening much about fraud and scam of data typing firm, companies are most concern about the security of data. If you will outsource the requirement to genuine and promising company, your issue of data security will get resolved.

Genuine: Is the firm genuine? Answer is simple. Get the track record of that firm as well as get input from the clients of that firm which you want to outsource.

Although there are such benefits of outsourcing data entry, organizations are staying away from outsourcing because of fraud. To avoid scam, always, ask for the trial or pilot project. So, you will get better idea about their promises and can choose better source for outsourcing data typing.

Bea Arthur is a quality controller at Data Entry India, a well-known firm, accepting data entry projects, data conversion projects and data processing projects. They are having more than 17 years of experience in outsourcing data entry. You also can tell us the requirement through info@dataentryindia.com




Source: http://ezinearticles.com/?Data-Entry---5-Concerns-While-Outsourcing-Data-Entry&id=4640239

How Does Outsourced Data Entry Services Help Companies Save Time

Data entry services provided by a competent BPO company can help companies save time compared to doing it in-house. The in-house workload can be simplified to a great extent with the help of reliable companies. Whether it is alpha numeric entry or simple text entry, in-house management takes a lot of time, because the task is a very tedious one. Nowadays, a variety of back office services are available and many of them are specialized in multiple industries such as insurance, legal and the medical industry.

Reasons to Opt for Data Entry Outsourcing

    Save time

As mentioned earlier, managing such processes in-house is a time-consuming task. When it is outsourced, businesses get some more time to devote to core activities. Businesses can taste success even in this era of competition with the support of a reputable company.

    Availability of expertise

Staff providing service in these companies have specific skills which allow for expert delivery

    Specialists with required skill set
    Fluency in the English language if the work is outsourced to another country
    Good typing speed and good keyboard skills
    Ability to work with different software and different formats
    Ability to comprehend different handwritings if required
    Resources can be reassigned or reduced data entry is outsourced

Not only is time saved when you outsource, but also resources. When data entry is done in-house, additional office space is required for setting up infrastructure and managing data. Then, you need to invest in additional manpower, hardware and software as well. When more people are hired, more money is spent on salaries as well as benefits. However, when the work is outsourced, you can avoid all this expenditure.

How to Select the Best Data Entry Company

Various things should be taken into consideration when selecting a good data entry company:

    The company should understand your requirements well
    The solutions that the company offers should be 99 percent accurate
    The data should be handled with confidentiality and security
    The company should have data recovery and backup plans
    It must provide technical support round the clock
    It should assure at least 30 to 40 percent of cost savings
    Company should be able to provide you with the same if not better quality than doing it ion-house

There are many companies that offer free trial of their services. This will help evaluate the kind of service they provide. Businesses will be successful if an established company is chosen. A thorough comparison of the data entry services provided by various companies should be made for selecting the best company. The right service provider will help businesses save time and work towards improving core processes.

MOS is reputed name in the Data entry services outsourcing industry. More details regarding the services offered by the company can be found here.




Source: http://ezinearticles.com/?How-Does-Outsourced-Data-Entry-Services-Help-Companies-Save-Time&id=7644142

Outsource Data Entry

Need to outsource data entry? It may seem like an easy task, but most businesses outsource data entry tasks. As the number of companies and firms grow, more and more job opportunities for such service providers are opening up. The first step to outsource these tasks is to identify the scope of the job that you want to outsource. This means figuring out exactly what you want the person you will be hiring to do for you. The service provider can help too and will ask if anything is unclear.

The job could be for the finance department which would deal with handling expenses and incomes, or it could be for the Human Resource Department handling the data base of employees and keeping it updates according to new additions or people who leave. Once, the scope of the job has been finalized, the data needs to be assembled. This could be in the form of sheets of paper that contain bills, details of expenses and various other types of tabulated data, both online and offline.

Since the work is so varied and vast, most businesses choose to outsource data entry projects. This can be done by hiring a company, BPO's or by hiring an individual to do the work for them. BPO's have entire teams that specialize in different forms of such tasks and are fluent in working with the many software out there available. There are different advantages to using companies or individuals to outsource data entry work. While individuals have the benefit of being a little bit more flexible when it comes to demands and specifications, companies that work towards performing entry tasks are more efficient and better time managers due to the vast number of people they hire and train to do the job.

When deciding to outsource the data entry task, care must be taken to ensure that the business you are contacting is legitimate and has the means or manpower necessary to perform the task, particularly if you have special software in place just for entering and organizing data. No matter what kind of data you are handing over, be it in the form of sheets of pages that need to be converted into tables, photographs of papers or maybe an audio transcription needs to be done, companies that deal with data entry tasks are capable of handling all kinds of data and converting and tabulating them into any form you want.



Source: http://ezinearticles.com/?Outsource-Data-Entry&id=7505398

Data Entry - 5 Types of Outsourcing Data Entry

Each organization requires accurate information to stay ahead from their competitors. To get various advantages of accurate information, you must have reliable data entry service. Through reliable typing company, you will get not only accuracy but also data security. Data typing services include data entry, data processing, data conversion, data capture, data maintenance, image scanning and html coding.

There are numbers of typing entry types that are useful to various business organizations. Here are some common types such as online typing entry, offline typing, automatic and manual typing service. Requirements differ as industry change. Here are some examples for that:

• for legal firms - legal document entry

• for organization related to science - scientific information entry

• for educational organization - mathematical information entry, book entry

• for medical institute - insurance claim entry, medical information typing

• for government - latter typing service, card entry, document typing, etc.

If you do not find reliable typing company for typing task, it is worth less to outsource. There are various advantages of outsourcing your typing requirement to reliable source.

You can easily eliminate the risk of data theft. In general, Data theft is high when companies are having in-house typing service. By outsourcing to reliable typing company, you can manage the business effectively.

Reliable data entry service can boost your business growth. If the information is digitally available, your executive can access the important information in seconds and take related decisions. This way, you can grab important opportunity and grow the business.

If you outsource, you will surely get cost benefit. But before you outsource, please do proper research for leading and reliable typing company. Otherwise, this will cost you in terms of reputation.

As your employees are not engaged in tedious and time consuming typing task, they can give more output in core activity. You will surely see the increase in efficiency and productivity of your staff by outsourcing your data editing or typing requirements.

Higher satisfaction level of customer makes company reliable. Companies only can get high satisfaction through great quality, quick services and reasonable pricing. Though reliable data entry, you will get accurate information in very less time. So choose wisely, reliable data typing services surly help in boosting your efficiency and profitability.

Bea Arthur is a quality controller at Data Entry India that provides Data Entry Services, Data Conversion Services and Data Processing Services. They are having more than 17 years of experience in data entry service.



Source: http://ezinearticles.com/?Data-Entry---5-Types-of-Outsourcing-Data-Entry&id=4086519

Data Extraction Services - A Helpful Hand For Large Organization

The data extraction is the way to extract and to structure data from not structured and semi-structured electronic documents, as found on the web and in various data warehouses. Data extraction is extremely useful for the huge organizations which deal with considerable amounts of data, daily, which must be transformed into significant information and be stored for the use this later on.

Your company with tons of data but it is difficult to control and convert the data into useful information. Without right information at the right time and based on half of accurate information, decision makers with a company waste time by making wrong strategic decisions. In high competing world of businesses, the essential statistics such as information customer, the operational figures of the competitor and the sales figures inter-members play a big role in the manufacture of the strategic decisions. It can help you to take strategic business decisions that can shape your business' goals..

Outsourcing companies provide custom made services to the client's requirements. A few of the areas where it can be used to generate better sales leads, extract and harvest product pricing data, capture financial data, acquire real estate data, conduct market research , survey and analysis, conduct product research and analysis and duplicate an online database..

The different types of Data Extraction Services:

    Database Extraction:
    Reorganized data from multiple databases such as statistics about competitor's products, pricing and latest offers and customer opinion and reviews can be extracted and stored as per the requirement of company.
    Web Data Extraction:
    Web Data Extraction is also known as data Extraction which is usually referred to the practice of extract or reading text data from a targeted website.

Businesses have now realized about the huge benefits they can get by outsourcing their services. Then outsourcing is profitable option for business. Since all projects are custom based to suit the exact needs of the customer, huge savings in terms of time, money and infrastructure are among the many advantages that outsourcing brings.

Advantages of Outsourcing Data Extraction Services:

    Improved technology scalability
    Skilled and qualified technical staff who are proficient in English
    Advanced infrastructure resources
    Quick turnaround time
    Cost-effective prices
    Secure Network systems to ensure data safety
    Increased market coverage

By outsourcing, you can definitely increase your competitive advantages. Outsourcing of services helps businesses to manage their data effectively, which in turn would enable them to experience an increase in profits.




Source: http://ezinearticles.com/?Data-Extraction-Services---A-Helpful-Hand-For-Large-Organization&id=2477589

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

Internet Outsourcing Data Entry to Third World Countries

Outsourcing pieces of your company is cost effective. The economic downturn has made companies explore more fiscally conservative options for their company. Internet outsourcing is one of the most popular options to effectively cut costs. Entire departments that cost companies millions a year can be shipped overseas. This allows companies to focus their resources on the crucial elements of their company and not use resources on trivial but necessary matters.

One of the most common departments outsourced is customer service. Maintaining a customer service department requires health benefits, rent, and costly salaries. This creates a huge expense for a company for simple tasks. Customer service departments are being outsourced to India and China for a fraction of the cost. Customer service often requires a straightforward question and answer script. The answers can be given to anyone who has the script. This makes outsourcing customer service effective.

If someone calls for customer support and the customer service representative answers the phone and does not know the answer there is a solution. Calls can be transferred to customer representatives that have extensive product knowledge. This elite group of customer service representatives can be located at corporate headquarters or can be transferred to a trained group of outsourced customer representatives that have knowledge beyond the script. This is one of the easiest ways to cut costs and maintain the value of the company. Over 90% of customer support questions are repeat questions that can be scripted.

Data entry is one the most common outsourced departments. People who do not speak the same language as the origin country can often do data entry tasks. This makes outsourcing data entry extremely cost effective. Numbers and symbols are universal making data entry straightforward in most foreign countries.

All outsourcing tasks can be distributed online. Internet outsourcing is the future to big and small businesses creating cost effective business plans. Placing an order online for electronic equipment has become a normal way of shopping. Placing online orders for work will be common in the decades to come.

Companies worry about outsourcing because they're concerned about quality. Outsourcing has become big business in China, India, third world and developing countries. Projects outsourced are taken very seriously and business management is similar to western societies. The regulations are often more strict than the United States and the work is often held to a higher standard to insure repeat business.




Source: http://ezinearticles.com/?Internet-Outsourcing-Data-Entry-to-Third-World-Countries&id=4617038

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.



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

iWeb Scraping Services, India

iWebscraping.com is company based in Ahmedabad, India, offering low cost web scraping, data extraction, data scraping services, and developing web crawler, web scraper, web spiders, harvester, bot crawlers, aggregators softwares.

We are in fact, having 5+ of strong experience in scraping the data from almost ANY website, and currently serving more than 100+ clients worldwide, from USA, UK, Canada, New Zeland, Australia, Brazil, Germany, France, India, etc…

We are having skills, to extract the data from the sites that blocks the IP, sites that requires username login, javascript, Ajax, frame, iframes, flash websites, Java Applets, and even if the site prompts for Captcha verification.

We are also having capabilities, to extract the data from the websites, that has from 50 records to millions or billion records, and can deliver the output in the format you require (CSV, Excel, MySQL, MS-Access, XML, MSSQL dump).

Currently, we are also having our own 4 data extraction servers with higher bandwidths and capable to expand if need be.

We also ensure our customers with the BEST quality of the data upto 99.9999%. (Hardly any error in the data).

100% Confidentiality — All requirements and information provided by clients will be confidential and strictly the property of the client.

Neither the company nor its staff will disclose any information about the project to any third party without the prior consent of an executive officer of the client.

If the projects are ongoing, we are also capable to run the extraction process on our servers, on daily, weekly or monthly basis and can send the final output.

Please feel free, to ask for demo, samples and quotes. We shall be glad to serve you with our expertise.



Source: http://www.crunchbase.com/company/iweb-scraping-services-india