Effectiveness of Web Data Mining Through Web Research

Web data mining is systematic approach to keyword based and hyperlink based web research for gaining business intelligence. It requires analytical skills to understand hyperlink structure of given website. Hyperlinks possess enormous amount of hidden human annotations that can help automatically understand the authority. If the webmaster provides a hyperlink pointing to another website or web page, this action is perceived as an endorsement to that webpage. Search engines highly focus on such endorsements to define the importance of the page and place them higher in organic search results.

However every hyperlink does not refer to the endorsement since the webmaster may have used it for other purposes, such as navigation or to render paid advertisements. It is important to note that authoritative pages rarely provide informative descriptions. For an instant, Google's homepage may not provide explicit self-description as "Web search engine."

These features of hyperlink systems have forced researchers to evaluate another important webpage category called hubs. A hub is a unique, informative webpage that offers collections of links to authorities. It may have only a few links pointing to other web pages but it links to a collection of prominent sites on a single topic. A hub directly awards authority status on sites that focus on a single topic. Typically, a quality hub points to many quality authorities, and, conversely, a web page that many such hubs link to can be deemed as a superior authority.

Such approach of identifying authoritative pages has resulted in the development of various popularity algorithms such as PageRank. Google uses PageRank algorithm to define authority of each webpage for a relevant search query. By analyzing hyperlink structures and web page content, these search engines can render better-quality search results than term-index engines such as Ask and topic directories such as DMOZ.



Source: http://ezinearticles.com/?Effectiveness-of-Web-Data-Mining-Through-Web-Research&id=5094403

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.


Source: http://ezinearticles.com/?Digging-Up-Dollars-With-Data-Mining---An-Executives-Guide&id=6052872

How to Reduce Data Entry Operating Cost

Are you searching for data entry outsourcing profitability? Do you require to decrease your BPO cost? Does your business require effective data entry services? Data typing outsourcing is most popular and most growing sector of the business process outsourcing unit.

Today, BPO services come on the top in which data entries are helpful in maintaining business process cost and in all management task of the organization or company. To hire data entry specialist is one of the best option to improve business efficiency.

You can decrease business process outsourcing operating cost and also get maximum benefits such as:

High quality and cost effective solution Quick turn around time on your BPO projects Experienced Team and Latest Technology Pay more attention to core areas of business Improve your business efficiency

In this time, business process outsourcing is considered as a rapping industry. Outsourcing your services will reduce your expenditures with improved services. Thus, outsourcing is now a tactically imperative corporate verdict.

By outsourcing services, you can concentrate on your core business relative requirements and you can improve your business revenue. Also you can have the advantage of hiring specialized skill sets from different parts of the world. In this competitive edge, your business gets fast rolling within fast around time.

Thus, one of the great BPO services is accurate data entries which is now used in all types of BPO sectors. This is initial requirements of any small, large and medium level of businesses.

If you are looking for outsource data entries requirements at trusted and well known BPO organization, then you can save valuable time of your office employee and you can use your efforts in significantly way to provide easy business process outsourcing solution.


Source: http://ezinearticles.com/?How-to-Reduce-Data-Entry-Operating-Cost&id=4169043

Data Entry: Why Data Entry Outsourcing?

With the developed technology the world has become a global village, therefore has converted to a single market place. Due to this heavy competition is seen where reduction of overhead for business is possible with the only solution of outsourcing your business to developing countries.

This helps in reducing overhead costs of your business. Companies outsource work in many areas as: call center, software development, CAD, AutoCAD, designing, writing, etc. Out of all these data entry is the most popular, probably because it could be learned easily. Professionals providing services do not only enter your data, but also helps you in managing it for upfront requirements.

These developing services cover several business areas as: online and offline data entry, audio and video entry, image entry, insurance claims entry, numeric data entry, etc. It has become popular because of its impressive benefits associated with it.

Why to outsource Data entry work?

Go for the following benefits associated with it:

Cost effective: Outsourcing your data to enter serves as perfect solution in saving your extra overheads. Outsourcing companies reduce on extra expenditure on resources, receiving equal competency benefits. Outsourcing gives you maximum return on your investment.

Superior Quality: Developing countries having huge human resource are able to provide equal or superior work quality because of its skilled man power. Able to recruit experienced and trained resource are able to provide higher quality work.

Satisfied workforce: As companies get the work done at lower cost compared to developed countries, they pay better to their human capital compared to other work available in their country. This satisfied workforce enthusiastically gives desired results as per client's requirements.

Consistent Data Source in a timely manner: Companies providing outsourcing services to enter data give you consistent and accurate data in a timely manner which can be easily used for the benefits of the organizational needs. Ensuring the efficiency in work flow, this is helpful in saving time.

Developed technology: Though you are outsourcing your entry needs to a developing country, you will find that the technology here you get is efficient, equally upgraded to international standards.

All in one service: Companies providing outsourcing services is also capable of providing related services to its clients in areas such as: online and offline data entry, audio and video entry, image entry, insurance claims, numeric, PDF conversion, image scanning or OCR scanning, image editing, etc.

Report management set-up: Companies providing outsourcing services have a well developed reporting system, with different level heads at communication level. This periodically gives you accurate progress graph of the work assigned.



Source: http://ezinearticles.com/?Data-Entry:-Why-Data-Entry-Outsourcing?&id=6425948

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

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

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

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

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

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

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

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

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

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

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

    attended previously
    age
    size of company
    industry

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

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

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

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

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

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

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

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

Conclusion

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

    your business need
    your available data assets
    the performance improvement required

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


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

Data Mining: Its Description and Uses

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

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

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

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

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

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

Generally, any of the following relationships are obtained.

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


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

Rush Poker at Full Tilt and Data-Mining

Well there was a surprise update today at full tilt poker and okay that's nothing new, but this one included a new game called Rush Poker. One thing you can say what full tilt poker and that is they are always thinking about new ways to keep poker players interested and excited about playing.

Rush poker adds an element of speed to single table play of no limit Texas hold'em cash games whereby you are immediately transported to a new table every time you fold your hand. This is done instantly, allowing you to play hundreds of hands per hour. Now this is not turbo speed like you would have seen in tournaments, this is more physically changing the makeup of your table allowing you to engage in as many hands as you're comfortable with. The faster you fold your hand, the faster you get to see your next hand.

The way the software allows you to do this, is by placing you amongst the pool of players who were also waiting for the next time to start. This means you can be put in any position, and be facing any combination of any players that are active in the pool at that moment. Truly an interesting concept here, and full tilt should be commended for their forward thinking, which has really kept them as the leaders in the online poker market at least as far as features go.

The only time I found that I had to wait in this game was when I was in the big blind, and that basically meant that I had to wait for somebody to raise or just check fold to me. Pretty much any other position you can glance at your hand, click full or quick fold, and you're off to another table.

Alright so it's fun, action-packed, and demands your considerable concentration, but what about 3rd party tracking software? I was using Hold'em Indicator on first visit to these tables and used the odds display, but since your table and opponents change every hand, there was no profiling going on whatsoever. In addition, Full Tilt does not allow observers at these tables, so there won't be any easy way to data mine statistics for programs like Poker Tracker, Hold'em Manager or Poker Edge. You are just going to be playing these straight-up on card strength and the betting patterns of that very hand you are in.

So if you eliminate profiling from this game, there will be other rules of engagement in order to stay profitable. Of course Full Tilt Poker is just going to rake in much more well, rake. But if you can focus for a couple of hours you could be seeing as many as 1000 hands. I could see playing tight solid aggressive could be working under the circumstances, but I also noticed a lot of blind stealing going on here. Players already sort of trying to take advantage of the fact that players and the blinds might not even be there and they can tell because they're on auto fold and they're already sitting at another table looking at another hand.

It's going to be interesting to see what games and buy-in levels Full Tilt expands this to and how popular it's going to be with players. Nonetheless, another industry-leading innovation from full tilt poker.


Source: http://ezinearticles.com/?Rush-Poker-at-Full-Tilt-and-Data-Mining&id=3609899

Why Outsourcing Data Mining Services?

Are huge volumes of raw data waiting to be converted into information that you can use? Your organization's hunt for valuable information ends with valuable data mining, which can help to bring more accuracy and clarity in decision making process.

Nowadays world is information hungry and with Internet offering flexible communication, there is remarkable flow of data. It is significant to make the data available in a readily workable format where it can be of great help to your business. Then filtered data is of considerable use to the organization and efficient this services to increase profits, smooth work flow and ameliorating overall risks.

Data mining is a process that engages sorting through vast amounts of data and seeking out the pertinent information. Most of the instance data mining is conducted by professional, business organizations and financial analysts, although there are many growing fields that are finding the benefits of using in their business.

Data mining is helpful in every decision to make it quick and feasible. The information obtained by it is used for several applications for decision-making relating to direct marketing, e-commerce, customer relationship management, healthcare, scientific tests, telecommunications, financial services and utilities.

Data mining services include:

    Congregation data from websites into excel database
    Searching & collecting contact information from websites
    Using software to extract data from websites
    Extracting and summarizing stories from news sources
    Gathering information about competitors business

In this globalization era, handling your important data is becoming a headache for many business verticals. Then outsourcing is profitable option for your business. Since all projects are customized to suit the exact needs of the customer, huge savings in terms of time, money and infrastructure can be realized.

Advantages of Outsourcing Data Mining Services:

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

Outsourcing will help you to focus on your core business operations and thus improve overall productivity. So data mining outsourcing is become wise choice for business. Outsourcing of this services helps businesses to manage their data effectively, which in turn enable them to achieve higher profits.


Source: http://ezinearticles.com/?Why-Outsourcing-Data-Mining-Services?&id=3066061

Know What the Truth Behind Data Mining Outsourcing Service

We came to that, what we call the information age where industries are like useful data needed for decision-making, the creation of products - among other essential uses for business. Information mining and converting them to useful information is a part of this trend that allows companies to reach their optimum potential. However, many companies that do not meet even one deal with data mining question because they are simply overwhelmed with other important tasks. This is where data mining outsourcing comes in.

There have been many definitions to introduced, but it can be simply explained as a process that involves sorting through large amounts of raw data to extract valuable information needed by industries and enterprises in various fields. In most cases this is done by professionals, professional organizations and financial analysts. He has seen considerable growth in the number of sectors or groups that enter my self.
There are a number of reasons why there is a rapid growth in data mining outsourcing service subscriptions. Some of them are presented below:

A wide range of services

Many companies are turning to information mining outsourcing, because they cover a wide range of services. These services include, but are not limited to data from web applications congregation database, collect contact information from different sites, extract data from websites using the software, the sort of stories from sources news, information and accumulate commercial competitors.

Many companies fall

Many industries benefit because it is fast and realistic. The information extracted by data mining service providers of outsourcing used in crucial decisions in the field of direct marketing, e-commerce, customer relationship management, health, scientific tests and other experimental work, telecommunications, financial services, and a whole lot more.

A lot of advantages

Subscribe data mining outsourcing services it's offers many benefits, as providers assures customers to render services to world standards. They strive to work with improved technologies, scalability, sophisticated infrastructure, resources, timeliness, cost, the system safer for the security of information and increased market coverage.

Outsourcing allows companies to focus their core business and can improve overall productivity. Not surprisingly, information mining outsourcing has been a first choice of many companies - to propel the business to higher profits.


Source: http://ezinearticles.com/?Know-What-the-Truth-Behind-Data-Mining-Outsourcing-Service&id=5303589

Limitations and Challenges in Effective Web Data Mining

Web data mining and data collection is critical process for many business and market research firms today. Conventional Web data mining techniques involve search engines like Google, Yahoo, AOL, etc and keyword, directory and topic-based searches. Since the Web's existing structure cannot provide high-quality, definite and intelligent information, systematic web data mining may help you get desired business intelligence and relevant data.

Factors that affect the effectiveness of keyword-based searches include:
• Use of general or broad keywords on search engines result in millions of web pages, many of which are totally irrelevant.
• Similar or multi-variant keyword semantics my return ambiguous results. For an instant word panther could be an animal, sports accessory or movie name.
• It is quite possible that you may miss many highly relevant web pages that do not directly include the searched keyword.

The most important factor that prohibits deep web access is the effectiveness of search engine crawlers. Modern search engine crawlers or bot can not access the entire web due to bandwidth limitations. There are thousands of internet databases that can offer high-quality, editor scanned and well-maintained information, but are not accessed by the crawlers.

Almost all search engines have limited options for keyword query combination. For example Google and Yahoo provide option like phrase match or exact match to limit search results. It demands for more efforts and time to get most relevant information. Since human behavior and choices change over time, a web page needs to be updated more frequently to reflect these trends. Also, there is limited space for multi-dimensional web data mining since existing information search rely heavily on keyword-based indices, not the real data.

Above mentioned limitations and challenges have resulted in a quest for efficiently and effectively discover and use Web resources. Send us any of your queries regarding Web Data mining processes to explore the topic in more detail.


Source: http://ezinearticles.com/?Limitations-and-Challenges-in-Effective-Web-Data-Mining&id=5012994

Effective Online Data Entry Services

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

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

Few obvious benefits found by outsourcing online data entry:

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

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

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



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

Outsourcing Data Entry Services

Data or raw information is the backbone of any industry or business organization. However, raw data is seldom useful in its pure form. For it to be of any use, data has to be recorded properly and organized in a particular manner. Only then can data be processed. That is why it is important to ensure accurate data entry. But because of the unwieldy nature of data, feeding data is a repetitive and cumbersome job and it requires heavy investment, both in terms of time and energy from staff. At the same time, it does not require a high level of technical expertise. Due to these factors, data entry can safely be outsourced, enabling companies to devote their time and energy on tasks that enhance their core competence.

Many companies, big and small, are therefore enhancing their productivity by outsourcing the endless monotonous tasks that tend to cut down the organization's productivity. In times to come, outsourcing these services will become the norm and the volume of work that is outsourced will multiply. The main reason for these kinds of development is the Internet. Web based customer service and instant client support has made it possible for service providers to act as one stop business process outsourcing partners to parent companies that require support.

Data entry services are not all alike. Different clients have different demands. While some clients may require recording information coupled with document management and research, others may require additional services like form processing or litigation support. Data entry itself could be from various sources. For instances, sometimes information may need to be typed out from existing documents while at other times, data needs to be extracted from images or scanned documents. To rise up to these challenges, service providers who offer these services must have the expertise and the software to ensure rapid and accurate data entry. That is why it is important to choose your service provider with a lot of care.

Before hiring your outsourcing partner, you need to ask yourself the following questions.

* What kind of reputation does the company enjoy? Do they have sufficient years of experience? What kind of history and background does the company enjoy?

* Do they have a local management arm that you can liaise with on a regular basis?

* Do the service personnel understand your requirements and can they handle them effectively?

* What are the steps taken by the company to ensure that there is absolutely no compromise in confidentiality and security while dealing with vital confidential data?

* Is there a guarantee in place?

* What about client references?

The answers to these questions will help you identify the right partner for outsourcing your data entry service requirements.



Source: http://ezinearticles.com/?Outsourcing-Data-Entry-Services&id=3568373

Data Entry Services Are Meant To Ease Your Workload

Data entry services provided by the firms are growing very rapidly with a huge demand. It may sound that data entry is a simple task to do but it is not so simple and plays an important role in running a successful business. We all know that data and information related to any company is very crucial for them. Data are priceless for any firm, no-matter they are small or big. The companies provide you highly customized business solutions depending on your requirement.

The companies also provide various range of services for all kinds of textual data capturing from printed matter, manuscripts, and even web research. Very advanced technologies are used to convert large quantities of paper work and image based task to electronic data that is usable in database and in the management system. Any kind of data is very essential for an organization whether it is manual or electronic.

There are many companies that provide highly accurate data entry services with complete confidentiality and high level of accuracy. These services are undertaken by banks, retail organizations, medical research facilities, universities, insurance companies, newspapers, large corporate enterprises, direct marketing and database marketing firms, school and trade associations to make their organization a successful and profitable enterprise.

Outsourcing is a business strategy which is highly being used by businesses to take care of the data entry services. In fact, the process of outsourcing has made things simpler for business owners and the businesses are running successfully. The companies that are involved in outsourcing work do provide these services efficiently to those firms who are burdened with heavy workload. If you are running a business of your own and want to manage it properly and run smoothly, then all you need to do is to hire data entry services.

Availing the benefits of outsourcing works in the form of data entry services can prove tremendous for your company. If you outsource your extra burden of work to a company then in such case, you can make growth plans and strategies for your organization. The companies will console you about the high quality of services and the accuracy they provide for the business that needs data to be extracted from any source.

Data entry services is an information technology enabled services that provides you wide range of services. The professionals working for you are trained and extremely talented who are ready to provide you high end services with full dedication. Since, you are spending money for this, so you must take the best services and choose those companies who can cater to your needs according to you.

Data entry services is not a complex application but it's extremely time taking and this the main reason for a company that hires this service so that they can save their time and money. Every business has many more things to consider for their growth prospects and for this reason they don't want to waste their time and money in such stuffs. The professionals are especially trained according to the requirement of the work depending on how critical the work is. Hiring for this service is definitely a wise decision for your business prospects. These types of services will surely help you to make big profits in the business. The strategy and techniques applied to any business is the key to success.


Source:  http://ezinearticles.com/?Data-Entry-Services-Are-Meant-To-Ease-Your-Workload&id=538877

Using Charts For Effective Data Mining

The modern world is one where data is gathered voraciously. Modern computers with all their advanced hardware and software are bringing all of this data to our fingertips. In fact one survey says that the amount of data gathered is doubled every year. That is quite some data to understand and analyze. And this means a lot of time, effort and money. That is where advancements in the field of Data Mining have proven to be so useful.

Data mining is basically a process of identifying underlying patters and relationships among sets of data that are not apparent at first glance. It is a method by which large and unorganized amounts of data are analyzed to find underlying connections which might give the analyzer useful insight into the data being analyzed.

It's uses are varied. In marketing it can be used to reach a product to a particular customer. For example, suppose a supermarket while mining through their records notices customers preferring to buy a particular brand of a particular product. The supermarket can then promote that product even further by giving discounts, promotional offers etc. related to that product. A medical researcher analyzing D.N.A strands can and will have to use data mining to find relationships existing among the strands. Apart from bio-informatics, data mining has found applications in several other fields like genetics, pure medicine, engineering, even education.

The Internet is also a domain where mining is used extensively. The world wide web is a minefield of information. This information needs to be sorted, grouped and analyzed. Data Mining is used extensively here. For example one of the most important aspects of the net is search. Everyday several million people search for information over the world wide web. If each search query is to be stored then extensively large amounts of data will be generated. Mining can then be used to analyze all of this data and help return better and more direct search results which lead to better usability of the Internet.

Data mining requires advanced techniques to implement. Statistical models, mathematical algorithms or the more modern machine learning methods may be used to sift through tons and tons of data in order to make sense of it all.

Foremost among these is the method of charting. Here data is plotted in the form of charts and graphs. Data visualization, as it is often referred to is a tried and tested technique of data mining. If visually depicted, data easily reveals relationships that would otherwise be hidden. Bar charts, pie charts, line charts, scatter plots, bubble charts etc. provide simple, easy techniques for data mining.

Thus a clear simple truth emerges. In today's world of heavy load data, mining it is necessary. And charts and graphs are one of the surest methods of doing this. And if current trends are anything to go by the importance of data mining cannot be undermined in any way in the near future.



Source: http://ezinearticles.com/?Using-Charts-For-Effective-Data-Mining&id=2644996

An Easy Way For Data Extraction

There are so many data scraping tools are available in internet. With these tools you can you download large amount of data without any stress. From the past decade, the internet revolution has made the entire world as an information center. You can obtain any type of information from the internet. However, if you want any particular information on one task, you need search more websites. If you are interested in download all the information from the websites, you need to copy the information and pate in your documents. It seems a little bit hectic work for everyone. With these scraping tools, you can save your time, money and it reduces manual work.

The Web data extraction tool will extract the data from the HTML pages of the different websites and compares the data. Every day, there are so many websites are hosting in internet. It is not possible to see all the websites in a single day. With these data mining tool, you are able to view all the web pages in internet. If you are using a wide range of applications, these scraping tools are very much useful to you.

The data extraction software tool is used to compare the structured data in internet. There are so many search engines in internet will help you to find a website on a particular issue. The data in different sites is appears in different styles. This scraping expert will help you to compare the date in different site and structures the data for records.

And the web crawler software tool is used to index the web pages in the internet; it will move the data from internet to your hard disk. With this work, you can browse the internet much faster when connected. And the important use of this tool is if you are trying to download the data from internet in off peak hours. It will take a lot of time to download. However, with this tool you can download any data from internet at fast rate.There is another tool for business person is called email extractor. With this toll, you can easily target the customers email addresses. You can send advertisement for your product to the targeted customers at any time. This the best tool to find the database of the customers.

However, there are some more scraping tolls are available in internet. And also some of esteemed websites are providing the information about these tools. You download these tools by paying a nominal amount.


Source: http://ezinearticles.com/?An-Easy-Way-For-Data-Extraction&id=3517104

Offline Data Entry Services - More Economical Than Any Other Options of Its Like

Every business firm maintains records of its day-to-day commercial activities seeing that keeping a log of all these processes would be pretty handy when it is in need of retrieving them quite quickly. However businesses usually does not execute these tasks on their own since they have a complex setup of inter-related systems which may perhaps be monitored individually to ensure whether the data under maintenance is full of purpose and integrity. All companies visualize facilitating its operation by making tie-ups with data entry services around the globe so that data organization takes place effectively.

By passing on such services businesses can relieve of some customs that might be unwanted to focus on during sometime down the line. Primarily it is not their core activity hence finding a reliable offline data entry services solution provider and delegating work makes more sense.

Before dipping deep into this let me ply a gist of what exactly is an offline data entry service and why they are being searched for essentially? Making no avail of the Internet resources if there can be a process by which feeding data into file processors, text editors and other software like Word, Excel is possible, by all means these processes come under the offline service. Having a digital document that hardly has any errors in its output would be the right means to gauge an ideal offline service provider. Once such documents are retrieved from the offline data entry services no costs for additional storage would be incurred by the business because the data is now present in an indestructible form and hence need not be preserved as it had to be previously..

Some of the commonly available tasks for offline data entry technicians are form filling, conversion of various formats of file into appropriate data type as per the requirements of the business, feeding piles of data into multilayered database either manually or by means of any software with relevant functionality. An offline service provider does have its own share of benefits but for the company that passes on these works the main advantage is saving cost and certainly some time value of money. There are companies, which are saving considerable sum of money by using offline mode; an amount that their competitors invest in having the online data entry services of avail. With some money in the kitty now they can put it somewhere and get a return, which could assist them in the future undertakings.

Several business firms that have stamped their authority in fields like education, advertisement, finance, health care, legal and publication make sure they offload a significant quantity of work to offline data entry services so as to make the most of their time and more importantly cut down their operational overheads. With all this known, one should be able to understand why offline data entry services are a sensible option if ensuring economy in operation, maintaining time value of money and achieving organization effectiveness is the goal of your business.


Source: http://ezinearticles.com/?Offline-Data-Entry-Services---More-Economical-Than-Any-Other-Options-of-Its-Like&id=4638173

Utilize Online Data Entry Services From India For Extended Profits

Numerous companies are seeking help for data entry services in order to better manage their company database. Many changes and innovations have taken place in this field that has greatly facilitated and accelerated often tedious and time consuming processes. There are a multitude of data entry companies offering useful solutions to businesses of all types. Hiring an online data entry company in India is an economical option. These outsourcing companies provide high quality work to businesses around the world.

Many firms have started passing their data entry work on to third party firms in an effort to save on overhead costs. The burden of employing a full time data entry associate on a salary basis and providing them with all the benefits of regular employees is immense, whether the work load is large of small for a particular month. Hiring a consultant will enable you to only incur costs when necessary.

Data is a very important part of any business. Therefore it is critical that it is handled with experienced hands and skills. Well managed data can be used in an endless number of ways to better plan and manage the undertakings of a business. As a part of data entry services, data conversion is gaining popularity. The companies are using the latest techniques and tools for designing data entry solutions. In order to make data useful for anyone, its conversion is important. Data that requires a longer duration of processing time should be outsourced for better efficiency of information flow.

Different types of businesses make use of these services. They primarily have an immense database to manage, for which to India is a cost effective option. For instance, pharmaceutical companies, educational institutes, law firms, E-Commerce sites, and others make use to data entry services for higher profits.

Outsourced data entry services have been very beneficial for companies by increasing sales, yet lowering labor expenses. They help in expanding the client base internationally, which enables global access to international customers with ease. Generally the data that is complex and takes longer processing times should be outsourced for better, timelier results. Some businesses can even take advantage of data conversion, document processing, and catalog development if they need it.

There are many advantages of outsourcing data entry services to developing countries like India. Here the workforce is cheap yet highly skilled. Thus, businesses can get better quality of work at relatively lower prices in comparison to companies in developed countries. There are a tremendous number of data entry service providers. One of these firms will be a great tool to take your business to the next level.


Source: http://ezinearticles.com/?Utilize-Online-Data-Entry-Services-From-India-For-Extended-Profits&id=1387446