Facts on Data Mining

Data mining is the process of examining a data set to extract certain patterns. Companies use this process to determine the outcome of their existing goals. They summarize this information into useful methods to create revenue and/or cut costs. When search engines are accessed, they begin to build lists of links from the first page it accesses. It continues this process throughout the site until it reaches the root page. This data not only includes text, but also numbers and facts.

Data mining focuses on consumers in relation to both "internal" (price, product positioning), and "external" (competition, demographics) factors which help determine consumer price, customer satisfaction, and corporate profits. It also provides a link between separate transactions and analytical systems. Four types of relationships are sought with data mining:

o Classes - information used to increase traffic
o Clusters - grouped to determine consumer preferences or logical relationships
o Associations - used to group products normally bought together (i.e., bacon, eggs; milk, bread)
o Patterns - used to anticipate behavior trends

This process provides numerous benefits to businesses, governments, society, and especially individuals as a whole. It starts with a cleaning process which removes errors and ensures consistency. Algorithms are then used to "mine" the data to establish patterns. With all new technology, there are positives and negatives. One negative issue that arises from the process is privacy. Although it is against the law, the selling of personal information over the Internet has occurred. Companies have to obtain certain personal information to be able to properly conduct their business. The problem is that the security systems in place are not adequately protecting this information.

From a customer viewpoint, data mining benefits businesses more than their interests. Their personal information is out there, possibly unprotected, and there is nothing they can do until a negative issue arises. On the other hand, from the business side, it helps enhance overall operations and aid in better customer satisfaction. In regards to the government, they use personal data to tighten security systems and protect the public from terrorism; however, they want to protect people's privacy rights as well. With numerous servers, databases, and websites out there, it becomes increasingly difficult to enforce stricter laws. The more information we introduce to the web, the greater the chances of someone hacking into this data.

Better security systems should be developed before data mining can truly benefit all parties involved. Privacy invasion can ruin people's lives. It can take months, even years, to regain a level of trust that our personal information will be protected. Benefits aside, the safety and well being of any human being should be top priority.


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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.


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Advantages of Outsourcing Product Data Entry

Offshore outsourcing has proved itself to be the most effective business solution over the years and data entry is one business service that is outsourced today. Data is the lifeline of any company and it plays a huge role when it comes to planing for the future. Maintaining huge chunks of data is easier said than done. It requires a lot of time and money. So many top companies prefer to outsource data entry services. Online store owners outsource product data entry services because it is a cost effective solution to its customized needs. Outsourcing product data entry provides e-business owners with the opportunity to cut costs, deliver customer value, speed up their turn around time and maintain data security. It is one of the best business moves which has provided tangible results consistently.

COSTS
The one thought that spins the wheels on outsourcing is its cost cutting feature. Outsourcing product data entry brings down the expenditure on manpower and allows access to specialized skills which saves time and effort. Not to mention expenditure on infrastructure. Investments made need to be worthwhile and one made to outsource data entry is worth every penny. Outsourcing also cuts costs in terms of training employees and ensuring continuous learning processes so as to be updated with the latest technology.

TIME ZONE
An underlying advantage of this business practice is its willingness to be flexible according to client needs and expectations. The time zone difference is a big advantage and one that could be exploited. Offshore outsourcing provides the luxury of getting work done around the clock and that is an advantage worth being made use of. The time zone advantage gives the opportunity to increase the volume of work and its expected level of quality.

QUALITY CONTROL
Quality is usually a great concern which is overcome by a team of quality experts who adopt stringent process to generate accurate results. It simplifies processes and increases the client efficiency in achieving their targets. Outsourcing product data entry builds a competitive edge to the clients; it reduces stress and enables them to be more creative at their core processes. A good quality control process promises better customer satisfaction.

BETTER CUSTOMER SATISFACTION
Customer is the king; the market place survives on his satisfaction and loyalty. Outsourcing helps its clients build its brand image, grade up its value and focus on important areas in reaching its set promises to the customer. Employees can generate more revenues as data entry tasks are fulfilled by reliable resources. On the other hand, outsourcing companies also grow in providing prompt delivery of projects, low turn around time without any excuses on quality.

DATA SECURITY
Security plays a major role in outsourcing product data entry. Businesses have an edge over their competitors because of their ability to maintain data security. Most Outsourcing companies have Non Disclosure agreements with their clients. These agreements put in place policies and procedures to ensure no loss of critical data. Security concerns are promptly addressed with proficient support teams who maintain confidential details.

CONCENTRATION ON CORE BUSINESS AREAS
Outsourcing product data entry also gives businesses the chance to spend more time and effort on their core competencies. This would enhance innovative business models which generates expected profits, thus expanding e business to new heights of growth and development.


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Offline Data Entry - 3 Ways of Offline Data Entry Solution

Your company can get out of critical situation only if you have right information on hand. This is one of the most common problems in most of the organizations. They do not understand the preciousness of the information. There is another barrier that companies are facing such as cost of storing and managing the information.

Offline data entry is the solution for organizing the information. By offline data typing, you can generate digital copy of important paper document. The digital format is very easy to manage. It also requires less storage space. So, offline data typing can solve your problem of storage space, time of management as well as the cost.

Most of the companies require following 3 ways of offline data entry solution:

Entering Information from web: This is related to research. It is merely a copy-past type of task. For instance, medical organization requires the data of doctor such as name, degree, address, phone number and other detail. So, coping from web and pasting in to require application. Generally, organizations are using such service to collect person/company related information. You can outsource detail requirements to some reputed company as offline data entry project.

Entering Information in Software: In this type, you have to provide software of program as well as the paper document. Data typing professional from entry firm will enter the information into your program from the paper document. Such type of task is helpful to generate big database or organizing the lacs of detail.

Entering Information in word, excel and other application: If you have reports or huge documents and want to convert into digital format, this is the way. It is very hard to maintain the same quality of paper year by year. I am sure that the quality will degrade over a period of time. By entering the information in word, excel or other application, you can easily solve such problem.

The payment is the issue for any company. In such type of task companies are charging the money per entry. If you have descriptive offline data entry, they may charge per page or per word. These are the general formats of payment.

One Advice "To avoid scam; please outsource your offline data entry requirement to reputed company only."

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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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How Data Mining is Useful to Companies?

Every business, organization and government bodies are collecting large amount of data for research and development. Such huge database can make them to have the information on hand when required. But most important is that it takes much time to find important information from the data. "If you want to grow rapidly, you must take quick and accurate decisions to grab timely available opportunities."

By applying the process of data mining, you can easily extract and filter required information from data. It is a processing of refining data and extracting important information. This process is mainly divided into 3 sections; pre-processing, mining and validation. In pre-processing, large amount of relevant data are collected. The mining section includes data classification, clustering, error correction and linking information. The last but important is validate without which you can not make trust on information. In short, data mining is a process of converting data into authentic information.

Let's have look on how data mining is useful to companies.

Fast and Feasible Decisions: To search information from huge bundle of data require more time. It also irritates a person who is doing such. With annoyed mind one can not take accurate decisions that's for sure. By having help of data mining, one can easily get information and make fast decisions. It also helps to compare information with various factors so the decisions become more reliable. Data mining is helpful in every decision to make it quick and feasible.

Powerful Strategies: After data mining, information becomes precise and easy to understand. While making strategies, one can easily analyze information in various dimensions. This analysis helps to get real idea about the strategy implementation. Management bodies can implement powerful strategies effectively to expand business boundaries.

Competitive Advantage: Information is easily available and precise so that one can compare it with competitors' information. It is very much required that you must compare the data otherwise you will have to suffer in business. After doing competitive analysis, one can make corrective decisions to go ahead from competitors. This way company can gain competitive advantage.

Your business can get all the benefits of data mining at cutting rates through outsourcing.



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Searching the Web Using Text Mining and Data Mining

There are many types of financial analysis tools that are useful for various purposes. Most of these are easily available online. Two such tools of software for financial analysis include the text mining and data mining. Both methods have been discussed in details in the following section.

The features of Text Mining It is a way by which information of high-quality can be derived from a text. It involves giving structure to the input text then deriving patterns within the data that has been structured. Finally, the process of evaluating and interpreting the output is undertaken.

This form of mining usually involves the process of structuring the text input, and deriving patterns within the structured data, and finally evaluating and interpreting the data. It differs from the way we are familiar with in searching the web. The goal of this method is to find unknown information. It can be done with analyses in topics that that were not researched before.

What is Data Mining? It is the process of the extraction of patterns from the data. Nowadays, it has become very vital to transform this data into information. It is particularly used in marketing practices as well as fraud detection and surveillance. We can extract hidden information from huge databases of information. It can be used to predict future trends as well as to aid the company business to make knowledgeable quick decisions.

Working of data mining: Modeling technique is used to perform the operation of such form of mining. For these techniques, you must need to be fully integrated with a data warehouse as well as financial analysis tools. Some of the areas where this method is used are:

    Pharmaceutical companies which need to analyze its sales force and to achieve their targets.
    Credit card companies and transportation companies with sales force.
    Also large consumer goods companies use such mining techniques.
    With this method, a retailer may utilize POS or point-of-sale data of customer purchases in order to develop strategies for sale promotion.

The major elements of Data mining:

1. Extracting, transforming, and sending load transaction data on the data warehouse of the server system.

2. Storing and managing the data in for database systems that are multidimensional in nature.

3. Presenting data to the IT professionals and business analysts for processing.

4. Presenting the data to the application software for analyses.

5. Presentation of the data in dynamic ways like graph or table.

The main point of difference between the two types of mining is that text mining checks the patterns from natural text instead of databases where the data is structured.

Data mining software supports the entire process of such mining and discovery of knowledge. These are available on the internet. Data mining software serves as one of the best financial analysis tools. You can avail of data mining software suites and their reviews freely over the internet and easily compare between them.


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Data Mining's Importance in Today's Corporate Industry

A large amount of information is collected normally in business, government departments and research & development organizations. They are typically stored in large information warehouses or bases. For data mining tasks suitable data has to be extracted, linked, cleaned and integrated with external sources. In other words, it is the retrieval of useful information from large masses of information, which is also presented in an analyzed form for specific decision-making.

Data mining is the automated analysis of large information sets to find patterns and trends that might otherwise go undiscovered. It is largely used in several applications such as understanding consumer research marketing, product analysis, demand and supply analysis, telecommunications and so on. Data Mining is based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

It can be technically defined as the automated mining of hidden information from large databases for predictive analysis. Web mining requires the use of mathematical algorithms and statistical techniques integrated with software tools.

Data mining includes a number of different technical approaches, such as:

    Clustering
    Data Summarization
    Learning Classification Rules
    Finding Dependency Networks
    Analyzing Changes
    Detecting Anomalies

The software enables users to analyze large databases to provide solutions to business decision problems. Data mining is a technology and not a business solution like statistics. Thus the data mining software provides an idea about the customers that would be intrigued by the new product.

It is available in various forms like text, web, audio & video data mining, pictorial data mining, relational databases, and social networks. Data mining is thus also known as Knowledge Discovery in Databases since it involves searching for implicit information in large databases. The main kinds of data mining software are: clustering and segmentation software, statistical analysis software, text analysis, mining and information retrieval software and visualization software.

Data Mining therefore has arrived on the scene at the very appropriate time, helping these enterprises to achieve a number of complex tasks that would have taken up ages but for the advent of this marvelous new technology.

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Preference to Offshore Document Data Entry Services

A number or business organizations if different industries are seeking competent and precise document data entry services to maintain their business records safe for future references. Document data entry has advanced as a quickly developing and active industry structure almost accept in all major companies of the world. The companies doing businesses these days are undergoing rapid changes and therefore the need for services is becoming all the more crucial.

To get success you need to accomplish more understanding about the market, your business, clients as well as the prevailing factors that influence your business. A considerable amount of document is in one or the other way included in this entire process. These services is helpful in taking crucial decisions for the organization. It also provides you a standard in understanding the current and future business status of your company.

In this information age data-entry from documents and data conversion have become important elements for most business houses. The requirement for document services has reached zenith since companies work on processes like business merger and acquisitions, as well as new technology developments. In such scenarios having access to the right kind of data at the right time is very crucial and that is why companies opt for reliable services.

These services covers a range of professional business oriented activities such as document plus image processing to image editing as well as catalog processing. A few noteworthy examples of from documents include: PDF document indexing, insurance claim entry, online data capture as well as creating new databases. These services are important in industries like insurance companies, banks, government departments and airlines.

Companies such as Offshore and outsource and others offer an entire gamut of first rate data services. Actually, getting services from documents offshore to developing yet competent countries like India has made the process highly economical plus quality driven too.

Business giants around the world have realized multiple advantages associated in Offshore-Data-Entry. Companies not only prosper because of quality services but are also benefited because of better turn around time, maintaining confidentiality of data as well as economic rates.

Though the company works in all form of documents, there are few below mentioned areas where it specializes:

• Document data entry
• Document data entry conversion
• Document data processing
• Document data capture services
• Web data extraction
• Document scanning indexing

Since reputable companies like Offshore Data-Entry hire only well qualified and trained candidates work satisfaction is guaranteed. There are several steps involved in the quality check (QC) process and therefore accuracy level is maintained to 99.995% ensuring that the end result is delivered to the client far beyond his expectation.


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The Benefits of Data Mining

Data mining can truly help a business reach its fullest potential. It is a way to assess how business is being affected by certain characteristics, and can help business owners increase their profits and avoid making business mistakes down the line. Essentially, through this process, a business is analyzing certain data from different perspectives in order to get a full rounded view of how their company is doing. Business owners can get a broad perspective on things such as customer trending, where they are losing money and where they are making money. The information can also reveal ways that can help a business cut unneeded costs and can help them increase their overall income.

Data mining software is one tool that can help a company assess and analyze their data in more efficient terms. It can be extremely user friendly and allow people to delve into their data from a variety of different angles and points of view. In more technical terms, data mining software allows you to see the correlations and patterns of one's own data compared with those across many other regional databases.

People have been using data mining for many years in different formats. Only since the technology has become available has data software been used. But there have been many ways in the past for companies to assess their data and use it to their advantage. By taking polls, or using store scanners, product codes and bar codes, people have been able to gather data, analyze it and use it to their advantage. But it cannot be denied that the availability of greater technology has greatly increased the ability to store or gather data, make predictions about outcomes and use customer trend reports to greater advantages. The ability to store infinite amounts of data has given business owners a great advantage and truly has helped increase sales and lower costs. This data mining has actually led to data being stored in data warehouses. In data warehouses, various organizations will integrate their mined data into one large data warehouse. The information accessible in data warehouses is available to further help companies reduce risk taking and integrate proper selling techniques to improve business.

Data mining also can allow companies to see where their best selling points are and give them the opportunity to take advantage of this information. For example, if a pharmacy places a display of lip balm at the cashier counter, data mining can detect how many people bought lip balm from the cashier counter rather people who bought the lip balm when it was placed at another point in the store. Data mining can determine where the most effective points of sale are throughout a store or if a certain promotion went well one time of the month, but did not go well at another time of the month. Companies can make offers based on the buying habits of their customers as well.

Data mining can truly help businesses reach their highest profitability by paying attention to customer trending.


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The Benefits of Data Outsourcing

Data is the foundation of all companies and provides a source for multiplying your company with tremendous leaps and bounds. The benefits of data entry outsourcing are numerous with expansion of methodologies, which provide your business with many other numerous benefits. Data entry is a generalized term, which entails virtual services like data mining, data conversion, image processing, web data entry, data extraction and many others. All of these tasks are very much a stronghold in getting the processes of any company streamlined without wasting time and resources.

If you think about the benefits of data-entry outsourcing, it is necessary for any company to add the need of data entry along with other important resources, which go with this task. It is also important to know the format, which the final version of data is to be utilized. You want to go for data that is available for usage in a cross platform environment.

There are many benefits of outsourcing. In today's society, data-entry services offer peace of mine as well as a sigh of relief for business owners. Here are some benefits which data-entry outsourcing companies can offer your company:

o Your complete data management needs being taken care of. When you outsource your data-entry needs to an outside company, you are going to benefit with having managed and synchronized data. This will ensure that your company will save time. The best thing about outsourcing companies is that some of the managed data can be utilized for repository purposes.

o Time is very critical when dealing with competition. You want to get data in and out of your business in order to reap the maximum possible benefits in the least amount of time. Utilizing an outsourcing company minimizes your time spent while improving the efficiency of your business processes.

o Your sole purpose for utilizing data-entry outsourcing companies should be to receive quality as well as the most quantity for your dollar. Quality cannot be compromised. Quantity also needs to be delivered fast and on time. There is no leeway given when it comes to data entry work. Receiving data-entry work on time with fast turn around allows your business to benefit with the business overhead.

o Outsourcing companies are affordable and what does this mean for your business? This will reduce your business costs while maximizing your profits.



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The Increasing Significance of Data Entry Services

The instantaneous business environment has become extremely competitive in the new era of globalization. Huge business behemoths that had been benefited from monopolistic luxuries are now being challenged by newer participant in the marketplace, forcing recognized players to reorganize their plans and strategies. These are some of the major reasons that seemed to have forced businesses to opt for outsourcing services such as data entry services that allow them to focus on their core business processes. This in turn makes it simple for them to attain and maintain business competencies, a prerequisite for effectively overcoming the rising competitive challenges.

So, how exactly is data entry helping businesses in achieving their targeted goals and objectives? Well, to be able to know actually that, we will first have to delve deeper into the field of data entry and allied activities. To start with, it would be worth mentioning that every business, big and small, generates voluminous amounts of data and information that is important from a business point of view. This is exactly where the problems start to surface because accessing, analyzing and processing such voluminous amounts of data is too time consuming and obviously a task that can easily be classified as non-productive. And these are exactly the reasons for outsourcing such non-core work processes to third party outsourcing firms.

There is many data entry outsourcing firms and most of them are located in developing countries such as India. There are many reasons for such regional clustering, but the most prominent reason it seems is that India has a vast talent pool, comprising of educated, English-speaking professionals. The best part is that it is relatively less expensive to hire the services of these professionals. The same level of expertise will have been a lot more expensive to hire if it had been in a developed country. Subsequently, more and more businesses worldwide are outsourcing their non-core work processes.

As Globalization intensifies even more in the coming years, businesses will face even greater amounts of competitive pressures and it will just not be possible for them to even think about managing everything on their own, let alone actually going ahead and doing it. However, that should not be a problem, especially for businesses that opt for outsourcing services such as data entry and data conversion. By hiring such high-end and cost-effective services, these businesses will be able to realize the associated benefits that will come mostly as significant cost reductions, optimum accuracy, and increased efficiencies.

So for business executives that think outsourcing data entry related processes can help to achieve your targeted business goals and objectives, it's time you contacted an offshore outsourcing provider and request them precisely how they can ease your business. However just make sure that you opt for the most excellent available data entry services provider, perceptibly because it will be like sharing a part of your business.


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

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

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

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

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

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

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

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

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

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

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

    attended previously
    age
    size of company
    industry

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

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

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

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

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

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

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

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

Conclusion

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

    your business need
    your available data assets
    the performance improvement required

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


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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.


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Advantages of Outsourcing Data Conversion Services

Data conversion is the process of converting data from one format to another. In this era of IT revolution, data conversion services is a vital tool in getting information on finger tips. It has acquired a unique place in this internet driven, fast growing business world.

It gives handiness and security to business organizations in managing, updating and retrieving data. This services help firms to convert their precious data and gather papers into digital format for long-term storage. The data can be stored for the purpose of archiving, easy searching, accessing and sharing.

More and more highly experienced BPO companies are coming into this market providing full range of reliable and trustworthy data conversion services to their clients worldwide. These BPO companies are fully prepared with excellent infrastructure and skilled manpower as per clients' expectations and specifications.

Some of the data conversion services which are available in market are as follows:

    Document conversion
    HTML conversion
    XML conversion
    SGML conversion
    CAD conversion
    Image Conversion
    Book conversion
    PDF conversion
    Catalog conversion
    MS Excel conversion
    Indexing
    OCR / ICR Clean up, OMR

It is a process of changing bits from one format to another in order to get relative interoperability or ability to use new features. By outsourcing  this services companies can minimize the risk, cut down costs and thereby focus on their core issues. Offshore BPO companies are consistent, simple and one stop solution provider.

Advantages of outsourcing data conversion services:

    Focus on core business activities
    Avoids paper work
    Cuts down operating expenses
    Promotes business as effectively as possible
    Eliminates data redundancy
    Easy accessibility of data at any time
    Systemizes company's data in simpler format

If you are planning to outsource this kind of task to an external service provider, better make sure that the provider is consistent in quality, productivity and customer service operations. Automating any business by conversion services definitely increases the productivity of that company.


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Data Entry Services - Using At Home Workers

Is there any question that the competition in the data entry market place is fierce? Just like in all other industries data entry service providers are always looking for ways to reduce cost, increase margins and look more attractive to the consumer. One way many companies have gone about this task is through the use of "at home workers". Is this a good idea? Does it impact the quality? Both are questions that should be investigated closely by both the provider and consumer.

Is this a good idea? First, let me state I am not against people trying to make a living by working at home. Honestly, I love the idea. Who doesn't dream of working for themselves, setting their own hours and working in their pajamas. My writing is focused more on the industry and quality of work, not the worker.

Let us get a feel for how companies utilize the at home worker. The use of this work force is broad, some companies actually outsource the majority of their work to this pool of workers, while some simply use the at home worker to fill in gaps (i.e. when the in house workloads become too great to handle). you might be thinking, "who cares?" as a consumer it should be a factor in selecting the right vendor for your company. Here are just a few pros and cons that should be considered:

Pros:

1. Cost savings to the service provider, reducing internal cost. vendors save money by reducing payroll, equipment cost, benefits, training, etc. One would hope these savings would be passed along to the client.

2. Increase to the current staff at hand. With more workers able to assist on a project, the time required to complete a data entry project should decreased. Most data entry service providers who choose to use at home workers utilize them either for ongoing projects, thus freeing up in house workers for new projects, or they use their in house staff for large ongoing projects and have the at home crew waiting in the wings for the new projects.

Cons:

1. Potential for security risk. I am not saying at home workers are evil and plotting to take your data, but let's be honest when there is a lack of direct supervision the occurrences of improper use of data increases. Keep in mind, not all at home workers are local to the vendor they work with. Depending on the type and sensitivity of the data you are outsourcing, data security should be a top priority.

2. Quality of work. The quality of the work, being of high importance, is many times much lower when completed by at home workers, when compared to the in house full time employee. In a conversation I recently had with a data entry vendor I learned that when they employed at home workers the accuracy level ranged anywhere from 78% to 92%, while the accuracy level of their in house employees ranged from 94% - 98%. This results because of lack of proper ongoing training and supervision.

It is necessary to note that in large, the at home worker is a dedicated, trustworthy and hard working group and if managed properly by the vendor can be a wonderful resource used to offer quality services. I simply recommend that during your due diligence in selecting the right data entry vendor, you ask how and where your work is being done. Should the company use at home workers ask about their training and quality controls.

I hope you find this information useful. Please feel free to contact me anytime, I am happy to answer all questions and help in any way I can.


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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.


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