Get The Best Data Entry Services For Your Business

When you get to work on something that you are passionate about, it is understood that the results will be very good and you will enjoy your work. However, on the flip side, sometimes we are also entrusted with a work we are not very comfortable with and being professionals we must do the work perfectly. One such work is the work of data entry services; this is one work that no one likes to do, but it is a very crucial work for any business. Data entry is a boring and mundane work but every organization knows that this is a very important aspect of their company, so they ensure that they have efficient professionals handling this work for them. We know it may get difficult and expensive for companies to hire people in-house to do the work, so they have the option of outsourcing the data entry services.

Data entry services outsourcing, is one business process which an increasingly large number of companies are adopting, just because the whole thing is working out favorably for them. Outsourcing means to get the services of a third party to do the work for you from outside your company. First, by outsourcing the work, companies can save huge amount of money, which can be counted as profits. The work is generally outsourced to developing countries, where you can find large number of trained professionals doing the work at a very less cost. In fact, the cost will come to less than half the amount that you have to spend, if you hire professionals in-house to do the work for you. Second, you can get the services of highly skilled professionals to do the work, which will be impossible for you to do, if you hire professionals in-house for the same purpose.

Data entry services can be of various types, it can be to maintain the personal details of the employees in an organization, maintain the financial details or any other details that may be required. For companies that are dealing with loans, they have to maintain huge database of information and for this, the data entry service professionals need to be very highly skilled. The data can also be numeric, alphabetic, alphanumeric or others, as required. If you are getting outsourcing services, you must make sure that you hire the right professionals to do the work perfectly for you. Today, more and more companies are getting their data entry services outsourced from third parties as this is turning out to be very beneficial for their business.

Now there are several companies that offer data entry services to clients, you just have to be careful about this and select the best company to do your work. You can always do a reference check and some background study on the reputation they have in this field, before you hire their services. You must remember that data entry is a very crucial aspect of your business, so you

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Digging Up Dollars With Data Mining - An Executive's Guide

Traditionally, organizations use data tactically - to manage operations. For a competitive edge, strong organizations use data strategically - to expand the business, to improve profitability, to reduce costs, and to market more effectively. Data mining (DM) creates information assets that an organization can leverage to achieve these strategic objectives.

In this article, we address some of the key questions executives have about data mining. These include:

    What is data mining?
    What can it do for my organization?
    How can my organization get started?

Business Definition of Data Mining

Data mining is a new component in an enterprise's decision support system (DSS) architecture. It complements and interlocks with other DSS capabilities such as query and reporting, on-line analytical processing (OLAP), data visualization, and traditional statistical analysis. These other DSS technologies are generally retrospective. They provide reports, tables, and graphs of what happened in the past. A user who knows what she's looking for can answer specific questions like: "How many new accounts were opened in the Midwest region last quarter," "Which stores had the largest change in revenues compared to the same month last year," or "Did we meet our goal of a ten-percent increase in holiday sales?"

We define data mining as "the data-driven discovery and modeling of hidden patterns in large volumes of data." Data mining differs from the retrospective technologies above because it produces models - models that capture and represent the hidden patterns in the data. With it, a user can discover patterns and build models automatically, without knowing exactly what she's looking for. The models are both descriptive and prospective. They address why things happened and what is likely to happen next. A user can pose "what-if" questions to a data-mining model that can not be queried directly from the database or warehouse. Examples include: "What is the expected lifetime value of every customer account," "Which customers are likely to open a money market account," or "Will this customer cancel our service if we introduce fees?"

The information technologies associated with DM are neural networks, genetic algorithms, fuzzy logic, and rule induction. It is outside the scope of this article to elaborate on all of these technologies. Instead, we will focus on business needs and how data mining solutions for these needs can translate into dollars.

Mapping Business Needs to Solutions and Profits

What can data mining do for your organization? In the introduction, we described several strategic opportunities for an organization to use data for advantage: business expansion, profitability, cost reduction, and sales and marketing. Let's consider these opportunities very concretely through several examples where companies successfully applied DM.

Expanding your business: Keystone Financial of Williamsport, PA, wanted to expand their customer base and attract new accounts through a LoanCheck offer. To initiate a loan, a recipient just had to go to a Keystone branch and cash the LoanCheck. Keystone introduced the $5000 LoanCheck by mailing a promotion to existing customers.

The Keystone database tracks about 300 characteristics for each customer. These characteristics include whether the person had already opened loans in the past two years, the number of active credit cards, the balance levels on those cards, and finally whether or not they responded to the $5000 LoanCheck offer. Keystone used data mining to sift through the 300 customer characteristics, find the most significant ones, and build a model of response to the LoanCheck offer. Then, they applied the model to a list of 400,000 prospects obtained from a credit bureau.

By selectively mailing to the best-rated prospects determined by the DM model, Keystone generated $1.6M in additional net income from 12,000 new customers.

Reducing costs: Empire Blue Cross/Blue Shield is New York State's largest health insurer. To compete with other healthcare companies, Empire must provide quality service and minimize costs. Attacking costs in the form of fraud and abuse is a cornerstone of Empire's strategy, and it requires considerable investigative skill as well as sophisticated information technology.

The latter includes a data mining application that profiles each physician in the Empire network based on patient claim records in their database. From the profile, the application detects subtle deviations in physician behavior relative to her/his peer group. These deviations are reported to fraud investigators as a "suspicion index." A physician who performs a high number of procedures per visit, charges 40% more per patient, or sees many patients on the weekend would be flagged immediately from the suspicion index score.

What has this DM effort returned to Empire? In the first three years, they realized fraud-and-abuse savings of $29M, $36M, and $39M respectively.

Improving sales effectiveness and profitability: Pharmaceutical sales representatives have a broad assortment of tools for promoting products to physicians. These tools include clinical literature, product samples, dinner meetings, teleconferences, golf outings, and more. Knowing which promotions will be most effective with which doctors is extremely valuable since wrong decisions can cost the company hundreds of dollars for the sales call and even more in lost revenue.

The reps for a large pharmaceutical company collectively make tens of thousands of sales calls. One drug maker linked six months of promotional activity with corresponding sales figures in a database, which they then used to build a predictive model for each doctor. The data-mining models revealed, for instance, that among six different promotional alternatives, only two had a significant impact on the prescribing behavior of physicians. Using all the knowledge embedded in the data-mining models, the promotional mix for each doctor was customized to maximize ROI.

Although this new program was rolled out just recently, early responses indicate that the drug maker will exceed the $1.4M sales increase originally projected. Given that this increase is generated with no new promotional spending, profits are expected to increase by a similar amount.

Looking back at this set of examples, we must ask, "Why was data mining necessary?" For Keystone, response to the loan offer did not exist in the new credit bureau database of 400,000 potential customers. The model predicted the response given the other available customer characteristics. For Empire, the suspicion index quantified the differences between physician practices and peer (model) behavior. Appropriate physician behavior was a multi-variable aggregate produced by data mining - once again, not available in the database. For the drug maker, the promotion and sales databases contained the historical record of activity. An automated data mining method was necessary to model each doctor and determine the best combination of promotions to increase future sales.

Getting Started

In each case presented above, data mining yielded significant benefits to the business. Some were top-line results that increased revenues or expanded the customer base. Others were bottom-line improvements resulting from cost-savings and enhanced productivity. The natural next question is, "How can my organization get started and begin to realize the competitive advantages of DM?"

In our experience, pilot projects are the most successful vehicles for introducing data mining. A pilot project is a short, well-planned effort to bring DM into an organization. Good pilot projects focus on one very specific business need, and they involve business users up front and throughout the project. The duration of a typical pilot project is one to three months, and it generally requires 4 to 10 people part-time.

The role of the executive in such pilot projects is two-pronged. At the outset, the executive participates in setting the strategic goals and objectives for the project. During the project and prior to roll out, the executive takes part by supervising the measurement and evaluation of results. Lack of executive sponsorship and failure to involve business users are two primary reasons DM initiatives stall or fall short.

In reading this article, perhaps you've developed a vision and want to proceed - to address a pressing business problem by sponsoring a data mining pilot project. Twisting the old adage, we say "just because you should doesn't mean you can." Be aware that a capability assessment needs to be an integral component of a DM pilot project. The assessment takes a critical look at data and data access, personnel and their skills, equipment, and software. Organizations typically underestimate the impact of data mining (and information technology in general) on their people, their processes, and their corporate culture. The pilot project provides a relatively high-reward, low-cost, and low-risk opportunity to quantify the potential impact of DM.

Another stumbling block for an organization is deciding to defer any data mining activity until a data warehouse is built. Our experience indicates that, oftentimes, DM could and should come first. The purpose of the data warehouse is to provide users the opportunity to study customer and market behavior both retrospectively and prospectively. A data mining pilot project can provide important insight into the fields and aggregates that need to be designed into the warehouse to make it really valuable. Further, the cost savings or revenue generation provided by DM can provide bootstrap funding for a data warehouse or related initiatives.

Recapping, in this article we addressed the key questions executives have about data mining - what it is, what the benefits are, and how to get started. Armed with this knowledge, begin with a pilot project. From there, you can continue building the data mining capability in your organization; to expand your business, improve profitability, reduce costs, and market your products more effectively.


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Outsourcing Data Entry Services

Data entry services are among the many benefits that the IT sector is providing to corporate firms worldwide. These services often range from simple text data entry to alpha numerical entries requiring calculations such as bill processing for clients. To meet the demands for high quality and accurate textual and numerical data entry jobs, most outsourcing firms are employing the services of talented operators who are skilled in fast keyboard operations and word processing software.

Often business firms find it difficult to manage their huge data manipulation jobs and are compelled to outsource such jobs. In order to meet the deadlines in document entry jobs, the Business Processing Outsourcing (BPOs) units that are engaged in providing data entry services are offering their services in a fast, competitive and efficient manner. Quality in work is given top priority by these BPOs and to ensure this, they utilize the services of proofreaders who always double check the processed data for errors.

Data entry service providers also provide customized document entry services, suiting the requirements of client companies. Common data entry jobs being offered by BPOs include:

o Online data entry
o Offline data entry
o Data capture and conversion
o Document processing and management
o Medical document entry
o Insurance claim processing
o Census document entry

To cater to the increasing need of business firms to process their critical data as early as possible, most document processing firms have their own backup centers with sufficient employees. Most BPO firms operate round the clock to ensure that no work remains in pending state. The 24 hr operations of these firms also ensure that the daily requirements in critical data processing such as insurance claim processing are done in a timely manner.

Most BPOs, with the help of advanced IT equipments and professional trainers, can instantly train employees for mission critical data entry services and thus are capable of providing quality services for both short term as well as long term requirements of clients. The high quality training ensures that all their employees carry out the assigned jobs efficiently and accurately within the proposed time frame.

With the outsourcing of data entry services, most companies are able to concentrate on improving their core services and need only worry less about their daily clerical works. To add value to the services, excellent customer support is also provided by these document processing service providers. The quality document processing services provided by these firms help many corporate firms to stay competitive and profitable in the challenging business arena of today.


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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.


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Data Entry Outsourcing

Data entry outsourcing is contracting with outside consultants, software houses or service bureaus to perform systems analysis, programming, and data center operations. In the U.S. in 2003, the term took on extra meaning, often referring to jobs being given to people in companies located in India and other countries. The main reason behind outsourcing is the availability of qualified and experienced computer operators at low cost.

Data entry outsourcing is limited to all types of data entry operations e.g. data conversion, document and image processing, catalog processing services, image enhancement, image editing and photo manipulation services, etc.

The need for data entry is constant for some organizations for making day to day decisions. In such cases data entry is a regular and continuous requirement. The types of companies for which this is the case are financial institutions, hospitals, lawyers, court houses, oil companies, transportation companies, Ivy League colleges, pharmaceutical companies, universities, publishing companies etc. For some other organizations data entry may be just a temporary requirement. Accurate and easily accessible data is a necessity for all.

Accumulated data is a powerful management resource. Since data entry outsourcing at lower cost is available, the latent potential of the information accumulated in data which was dumped earlier is being usefully exploited by the organization where data entry is just a temporary requirement.

The combination of digitization of media and the rush to outsource has resulted in a wide range of customers from the UK, USA, France, Norway and more than 20 other countries coming to India, China etc for data entry outsourcing.

Most of the time-consuming data entry jobs are being done by outsourcing. For example, catalog management, which involves handling and maintaining paper catalogs, is not just time consuming, but also expensive. By converting your product catalogs to online and digital catalogs, making changes, and updating your product catalog becomes as easy as the click of a button once data entry has been completed.


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Internet Data Mining - How Does it Help Businesses?

Internet has become an indispensable medium for people to conduct different types of businesses and transactions too. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold.

Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented.

There are different types of internet data_mining techniques which include content, usage and structure mining. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. This data helps in creating an effective and an efficient website structure. Structure mining focuses on the nature of connection of the websites. This is effective in finding out the similarities between various websites.

Also known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Gathering data from anywhere in the web has become as simple as saying 1-2-3. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.



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Data Extraction Services For Better Outputs in Your Business

Data Extraction can be defined as the process of retrieving data from an unstructured source in order to process it further or store it. It is very useful for large organizations who deal with large amount of data on a daily basis that need to be processed into meaningful information and stored for later use. The data extraction is a systematic way to extract and structure data from scattered and semi-structured electronic documents, as found on the web and in various data warehouses.

In today's highly competitive business world, vital business information such as customer statistics, competitor's operational figures and inter-company sales figures play an important role in making strategic decisions. By signing on this service provider, you will be get access to critivcal data from various sources like websites, databases, images and documents.

It can help you take strategic business decisions that can shape your business' goals. Whether you need customer information, nuggets into your competitor's operations and figure out your organization's performance, it is highly critical to have data at your fingertips as and when you want it. Your company may be crippled with tons of data and it may prove a headache to control and convert the data into useful information. Data extraction services enable you get data quickly and in the right format.

Few areas where Data Extraction can help you are:

    Capturing financial data
    Generating better sales leads
    Conducting market research, survey and analysis
    Conducting product research and analysis
    Track, extract and harvest product pricing data
    Searching for specific job postings
    Duplicating an online database
    Acquiring real estate data
    Processing auction information
    Searching online newspapers for latest pricing information
    Extracting and summarize news stories from online news sources

Outsourcing companies provide custom made data extraction services to the client's requirements. The different types of data extraction services;

    Web extraction
    Database extraction

Outsourcing is the beneficial option for large organizations seeking to manage large information. Outsourcing this services helps businesses in managing their data effectively, which in turn enables business to experience an increase in profits. By outsourcing, you can certainly increase your competitive edge and save costs too!


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MyHarvestAmerica Website - What Message Does it Put Across?

The most striking thing about the MyHarvestAmerica website are its colors, red, white and blue. Is it putting across patriotic messages? The Tag line "The Grocery Store of the Future is No Store At All" is eye catching and is followed by a red navigational bar.

When you visit the website you will notice that it has a promotional video, some sales copy and a few reasons to buy from the website. The website also has a scrolling screen displaying the brands offered by the company. The scroll speed was very fast and a bit annoying. I did get it to slow down so that I could actually view the brands by placing my mouse on the scrolling banner.

The video on the website provides reasons why we should use MyHarvestAmerica website to order groceries. It emphasizes on the point that apart from getting access to over 10,000 brands you save money and have the opportunity to make money as well.

The navigational bar has various links which provide in depth information about the company, the services and benefits. If you were to browse to the Loyalty Program tab you will notice a video which explains how the My Harvest America model works. The Super Shopper Benefits tab provides information about the discounts available to shoppers who opt into the program as "Super Shoppers".

It was a little disappointing that the My Harvest America website does not have a lead capture mechanism or marketing systems in place. The website serves as an online brochure for the company which is of little help for distributors as a marketing tool. For newbies it might require a lot of effort to learn how to market their business and generate a constant stream of leads.

Prospects browsing the website cannot view the products offered by My Harvest America. A user-name and password are required to browse the retail shopper area. There is a video which walks you through the virtual supermarket but if you want to experience the process you have to be a member.

It is safe to say that the My Harvest America website serves as a marketing tool for the company by providing information about the company, the services and money making opportunities. The company has made an attempt to make the site as informational as possible with the use of videos, media clips and the like. Their efforts are feeble and does not appeal to the web 2.0 audiences.

The website is well laid out and appealing but it does lack web 2.0 features which are very necessary for marketing nowadays.


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Data Mining Software - Discover Software Modernization

Data mining software is usually an application that one uses and covers mostly with one's knowledge in the discovery of software modernization. Mining data software involves the understanding of the software artifacts that exist and the mining data tools. This process has very close relations with reverse engineering. The knowledge that one gains from studying data software that exists is usually presented in forms of models and by doing these queries one can be in a position to make his personal data mining software. With the knowledge that someone gains it must be applicable and one must also know the mining data tools that are suppose to be used apart from the soft wares. One can be able to know very widely about the mining data tools that are there in mining data software by doing computer science as a course. Computer science covers widely on what are the procedures, steps of mining data software and how can use the mining data tools.

This software is mostly used in making of databases schemes. Making of databases is not as easy as many would think it requires one to have some knowledge about computer engineering and the basic concepts of computers.;This software is mostly used in data crawling because it can be in a position to store data and one can be able to retrieve the data when needed.

The softwares are not that cheap they come in different varieties and it will depend on which information or the database on which one is coming up with.

Data mining software are usually in different levels there is the data level, design level, application level, architectural level, call graph level and program level it will depend on which level one is covering and this come together with mining data tools.

Data software's have increased rapidly through the introduction of computers and ERP definition. Computers hackers have been able to get the softwares at a very low price and this has made data mining to become very easy and quick to use in the shops and supermarkets and also government institutions. One cannot do data crawling without having the basic knowledge about data mining soft wares because soft wares are the programmes that are usually installed into the computer and without the programmes then no data can be processed.

There are a lot of challenges that come with the use of the mining soft ware. One can easily crush the software he is using or the softwares can easily break they are normally sold on CDS one can easily break it or loose it.

High chances of losing the data that someone is coming up with is very high because computers easily crash due to some difficulties that they experience or a virus can easily crush the computer.

Mining software take a very large space and in most of the computers. The reason behind this is because, data crawling use graphics. Graphics usually occupy a lot of space in terms of the size of the local disk. One is suppose to look for a computer that has very good memory. Data crawling is something that needs to be updated each and every time something appears along the way.


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Usefulness of Web Scraping Services

For any business or organization, surveys and market research play important roles in the strategic decision-making process. Data extraction and web scraping techniques are important tools that find relevant data and information for your personal or business use. Many companies employ people to copy-paste data manually from the web pages. This process is very reliable but very costly as it results to time wastage and effort. This is so because the data collected is less compared to the resources spent and time taken to gather such data.

Nowadays, various data mining companies have developed effective web scraping techniques that can crawl over thousands of websites and their pages to harvest particular information. The information extracted is then stored into a CSV file, database, XML file, or any other source with the required format. After the data has been collected and stored, data mining process can be used to extract the hidden patterns and trends contained in the data. By understanding the correlations and patterns in the data; policies can be formulated and thereby aiding the decision-making process. The information can also be stored for future reference.

The following are some of the common examples of data extraction process:

• Scrap through a government portal in order to extract the names of the citizens who are reliable for a given survey.
• Scraping competitor websites for feature data and product pricing
• Using web scraping to download videos and images for stock photography site or for website design

Automated Data Collection
It is important to note that web scraping process allows a company to monitor the website data changes over a given time frame. It also collects the data on a routine basis regularly. Automated data collection techniques are quite important as they help companies to discover customer trends and market trends. By determining market trends, it is possible to understand the customer behavior and predict the likelihood of how the data will change.

The following are some of the examples of the automated data collection:

• Monitoring price information for the particular stocks on hourly basis
• Collecting mortgage rates from the various financial institutions on the daily basis
• Checking on weather reports on regular basis as required

By using web scraping services it is possible to extract any data that is related to your business. The data can then be downloaded into a spreadsheet or a database for it to be analyzed and compared. Storing the data in a database or in a required format makes it easier for interpretation and understanding of the correlations and for identification of the hidden patterns.

Through web scraping it is possible to get quicker and accurate results and thus saving many resources in terms of money and time. With data extraction services, it is possible to fetch information about pricing, mailing, database, profile data, and competitors data on a consistent basis. With the emergence of professional data mining companies outsourcing your services will greatly reduce your costs and at the same time you are assured of high quality services.



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Why Outsource Data Entry Services?

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

What are the kinds of Services that can be outsourced?

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

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

What is the process?

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

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

What are the benefits of outsourcing Services?

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



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Importance of Data Mining Services in Business

Data mining is used in re-establishment of hidden information of the data of the algorithms. It helps to extract the useful information starting from the data, which can be useful to make practical interpretations for the decision making.
It can be technically defined as automated extraction of hidden information of great databases for the predictive analysis. In other words, it is the retrieval of useful information from large masses of data, which is also presented in an analyzed form for specific decision-making. Although data mining is a relatively new term, the technology is not. It is thus also known as Knowledge discovery in databases since it grip searching for implied information in large databases.
It is primarily used today by companies with a strong customer focus - retail, financial, communication and marketing organizations. It is having lot of importance because of its huge applicability. It is being used increasingly in business applications for understanding and then predicting valuable data, like consumer buying actions and buying tendency, profiles of customers, industry analysis, etc. It is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, e-commerce, customer relationship management and financial services.

However, the use of some advanced technologies makes it a decision making tool as well. It is used in market research, industry research and for competitor analysis. It has applications in major industries like direct marketing, e-commerce, customer relationship management, scientific tests, genetics, financial services and utilities.

Data mining consists of major elements:

    Extract and load operation data onto the data store system.
    Store and manage the data in a multidimensional database system.
    Provide data access to business analysts and information technology professionals.
    Analyze the data by application software.
    Present the data in a useful format, such as a graph or table.

The use of data mining in business makes the data more related in application. There are several kinds of data mining: text mining, web mining, relational databases, graphic data mining, audio mining and video mining, which are all used in business intelligence applications. Data mining software is used to analyze consumer data and trends in banking as well as many other industries.


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Data Entry - Why Outsourcing Data Entry Is Beneficial for Business

Data is very important and basic part for any business organization. You can access it easily by maintaining your data into single data base. Accurately managed data can increase your business efficiency.

In the present globalized world, to save huge amount of time, expenses, resources all business firms, medical firms, banking firms, telecoms companies outsource their requirements to trusted offshore outsourcing company. There are many offshore outsourcing company provides their data entry services in UK, USA, Canada, Australia and other part of world.

Many outsourcing company provides custom data entry services as per client needs. An outsourcing company provides below mention services accurately:

• Entry of online and offline basis
• Entry of image
• Entry of document
• Entry of form
• Entry of survey and business reports
• Entry of legal documents
• Entry of alphabetical and numeric information
• Entry of MS word and MS excel

Outsourcing has lot of advantages. Some of the benefits of outsourcing are described below:

• Output within short turnaround time with the highest level of accuracy
• Save expenses behind human resources, accommodation
• Information of database will be kept confidential and safe
• Projects handled by well-trained and experience experts
• Delivering after checking by quality control department
• Reduce management headache and burden
• Focus all productive time and cost in to core business

Having numerous benefits outsourcing is a great option to increase business proficiency and productivity but it is required to outsource a trusted and genuine company. Business firms outsource their projects to outsourcing company because of high level of accuracy, timely deliveries and total confidentiality. Outsourcing is helpful to save cost and increase profitability.



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Time Saving and Money Saving Data Entry Services

If you have an organization than data-entry is definitely the section with which you have to deal. The main concern for any organization which hires data entry services is flexibility and value for money. People need services which provide fast accurate entry of any form of hand-written data.

Data entry is very straight forward work but requires enough man force. As a result, many companies prefer to outsource data entry services to offshore countries. Company just have to find reliable data-entry partner from offshore countries which provides accurate data-entry services at most affordable prices.

As competition grows, many data-entry firms from offshore countries gives the most competitive prices for data-entry services. Outsourcing is not a new concept and having vast market doing outsourcing work. If you are looking for outsourcing data-entry work than India is the best outsourcing destination.

Many firms in India has enough experience with data entry projects which gives the best possible data-entry solutions from advanced data-entry tools. Daily, number of companies wants to move their paper documents into electronic format. All these firms in offshore countries give data entry services from qualified and well trained data-entry professionals. Their experienced and professional team of data-entry is highly trained in handling and obtaining large quantities of data in the minimal time possible. Outsourcing data entry and document processing work will save your valuable time and money. Utilizing this time and money you will be able to concentrate on your more important parts of your business leads you to high profit in best time.

Effective policies leads business to continue progress and survive them in today's highly competitive market. As in many cases, non-core activities are creating headaches in the path of progress, it is also an essential to finish them accurately as they provide assistance to core business.

So with choosing outsourcing less important data-entry work as a business strategy, allow you to create more attention on your core business activities.



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