Web Marketing Specialists

CBO Marketing Group – Today in this new era of web world there are lots of marketing tactics that every one wants to go through. And this is what we can say the best and powerful way to boost up your online business. Lots of marketing services are there like Listing Management, Telemarketing, Web Development, Mailing, and Email & Broadcasting etc. So here we will let you know what services CBO Marketing group provides to build your online business popular through out the web world. Here are some services: -

List Management: - The service that plays a vital role in any kind of business is List Management. We always present a report of your valuable current customers after checking its viability & accuracy prepared by our experts.

Telemarketing: - One way to promote your business is telemarketing. We use to conduct phone surveys with market research and more. The main aim of our telemarketing team is to develop a strategy to identify and achieve your goals in contact center planning, implementation and operation.

Web Development: - Web Development enables you to convey your product information with fairness to your potential customers that helps to generate sales and service leads by redesigning your site to make work for you.

Email & Broadcasting: - Our email & broadcasting services maintains top of mind campaigns to keep your messages and name in front of your valuable potential customers. We use to build, design and execute email & fax broadcasts accordingly to your monthly plan.

Direct Mail: - The one more service that ensure you to provide the well designed piece of direct mail having all the elements that are needed to achieve your goals whenever it is a lead services or just a sale.

Incentives: - Today consumers want more than what they paid for. So for sales skills one needs to distinctively separate his/her business from competition. So incentives play a major role in your sales that appeals to there customer’s interest in order to get the result you are looking for. There are so many companies that has there own standard of incentives.

Press Release: - That directly interacts with media outlets and promotes your business through releasing pertinent information regarding your business. That includes magazines, newspapers, Trade publications, radio. This helps to promote your business rapidly.

Timesharing: - We are the leader in marketing of resorts of timeshare, and sale of timeshare. Our extensive network of affiliate companies provides you turnkey operations. We having a great record of converting hotels and sold resorts. We are specialist in reselling timeshare resort. We always look forward to serving you.

There are so many other services, but to start up with these services can boost your business. Lots of other techniques are there that are always on the way. In today’s web world every one want to see there business on the top with high quality and latest techniques. So here we are to give the best of this web world in term of quality and affordable price.

So our talented professionals & creative marketing team always there to offering an equal or better quality work to there valuable potential customers.

CBO–The web marketing specialists company, which solve all of your online business queries through its certified interactive marketing including timeshare services known globally.

Article Source: Articledashboard

The Importance of Research for Effective Copywriting

Most people who write for a living will tell you getting it right takes about 10% actual writing time and 90% research. Knowing what to write before you write it, and to whom, might sound like an obvious place to start, but when you're under pressure to meet a business writing deadline, the obvious can go out of the window. It shouldn't though, because even when you're up against the clock, the whole process of writing your content will become easier if you put the pen down, sit back from the keyboard, and consider it first.

"An important first task when you are planning a piece of written work is to think carefully about its purpose." (1). Start by identifying your reader, bearing in mind these three simple questions:

* Who is my reader? * Will they read this? * What value is being created? (2)

If, for example, your brief is to write a 1000 word ‘business to consumer' brochure on a new range of motorized mobility scooters – the language, tone and style of your piece should not be targeted towards the youth audience. Sounds too obvious? Look in any newspaper, magazine or at any website, and you'll soon find countless examples of advertisements for products that seem to be incongruously addressing a completely irrelevant market. This accounts for the irritation or amusement you feel when viewing a TV advert not aimed at you. When this happens, the audience feels disconnected straight away, and the intended message of the content falls between the cracks. It's one of the biggest reasons sales copy and adverts fail.

In our example, after you've identified your main ‘mobility scooter' readership as senior citizens, you then have a very compelling reason why they will want to read about your new products. But it's a competitive market and the scooters won't sell themselves. So the next part of the process is to ask yourself, ‘What's in it for my intended readers – what benefits will our products give these readers over and above those of our competitors – and how do I communicate this to them in a language they will appreciate?'

Consider benefits, not just features

This is when the ‘analysis' stage of the research process kicks in – when you go back to your product and set out all the features it offers your target reader, listing the corresponding benefits. Think about everything your product can do, and how this will help the reader – how this will create value for them within the content you are about to write.

If at this stage you need to clarify certain product features or specifications, or identify more generalized subject matter that reinforces your point – go onto the Internet and Google your key topics, read up on relevant details that will put your claims into an authoritative context. Imagine yourself in the mindset of your target reader, and search for examples of similar products directed at them. Note the language used to talk to them, and consider what works and what doesn't in terms of tone.

The more detailed your research at this stage, the more rounded and effective your writing will be. You might think you're collecting superfluous details, but when it comes to actually writing your content, you'll find you're already a ‘mini expert' on the subject, and can cherry pick the best facts, stats and juicy pieces of information to back up your message.

The final stage of your research should take the form of collating your rough notes into a definitive structure. This structure will depend on the media in which your content will be published - for example, writing for the Web is very different than writing a sales letter or brochure – but if your research is sound you'll put yourself on a solid footing for actually structuring and writing effective content.

An English graduate from the University of Birmingham and professionally trained journalist at postgraduate level, Laurence James has been copywriting for over ten years. A Member of The Institute of Direct Marketing, he is also founder of The Copy Box - http://www.thecopybox.com

Article Source: http://www.ArticleBiz.com

Successful Information, Data Collection

You must deal primarily with the important aspect of collection of information about an organization's ethical performance over time, what needs to be recorded and analyzed.


However, it also allows for discussion of the ethics of handling information (per se) with integrity.


I am available to help you designing a special program for your needs

Integrity and Ethics Audits:

•The need for these to be done on a regular basis to regularly assess good governance and organizational integrity

•The possible steps and content of ethics audits

•Adherence to any code of ethics in place: number of breaches, number of cases investigated, rewards and punishments handed out etc.

Emphasis the specific organisation and the potential "at risk" areas.

•The degree to which adequate resourcing is being given to this activity (financial, human, structural etc.)

•Use of audit outcomes to enhance the organisation's ethics regime: remedial actions etc.

Corporate Governance issues as these relate to corporate recording, financial controls, separation of financial roles etc.

Key ethical issues regarding the management of information generally

Privacy:

•What information about one's self or one's associations must a person reveal to others?

•Under what conditions and with what safeguards?

•What things can people keep to themselves and not be forced to reveal to others?

Accuracy:

Who is responsible for the authenticity, fidelity and accuracy of information?

•Similarly, who is to be held accountable for errors in information?

How is any injured party to be re-established ?

Property:

Who owns information?

•Under what circumstances should it be exchanged or shared?

•What are the just and fair prices for its exchange?

•Who owns the channels, especially the airways, through which information is transmitted?

How should access to this scarce resource be allocated?

Accessibility:

What information does a person or an organisation have a right or a privilege to obtain?
•Under what conditions and with what safeguards?

Information systems

Important features:

•Should not unduly invade a persons' privacy.

Must be accurate.

Should protect the viability of the communications frequency spectrum to avoid noise and jamm

Should protect the sanctity of intellectual property, and provide just reward for original thought.

Should be accessible to avoid the indignities of information illiteracy and deprivation.

Information Systems

Intrusive data collection

•Secretive data collection & storage

•Improper data storage

•Insecurity of data

•Misuse of data (for purposes not intended)

•Wrongful sharing of data

•Inaccuracy of data

•Shelf-life of data (non expungement)

Intellectual Property & Copyright Issues

Examples of things that can be protected by copyright:

•Inventions & discoveries

•Written text of any kind

•Trademarks

•Media & Music (sounds, movies, music, choreography, TV & radio broadcasts etc.)

•Art (photos, drawings, sketches, plans)

•Software

•Designs (architectural drawings, equipment specifications etc)

Some ethical Issues:

•The concept of"fair use" - legitimate purposes include: research, teaching, news reporting,

critical comment.

•Proportion of work - a critical factor

•"Not for profit" notions

•Profiting by another's intellect and/or labour

E-Commerce, E-Government & Ethics: Some Issues

Internet privacy in general

•Unapproved email address sharing

•Unsolicited advertising

•Security of online purchasing

•Fair trade issues ("unfair competition" ?)

•Consumer preference monitoring/memorizing

•Hacking into data bases / purchasing systems


http://sites.google.com/site/cliparturvictoria/ http://sites.google.com/site/arturvictoria/ http://arturvictoria.blogspot.com/


Article Source: Articlesbase

Build Your Own No-Cost Mailing List

I've never used a mailing list broker. Reason? When I first started doing postcard mailings back in 1996, I could barely afford to pay my house rent. So, renting a mailing list was out of the question.One of the advantages of operating on a low budget is that you can't spend your way out of problems, you have to think your way out. In the case of my mailing list, the thinking centered around the question of Who Do I Know?

A spin through my desktop Rolodex yielded a treasure trove of names. Then there were those helpful family members and friends who referred names to the list. (Most of the time, I didn't even have to ask these people for names. But it never hurts to ask!) And thumbing through the directories of organizations I belonged to was also useful.

So, there you have it, four readily available sources of names:

1. Your Rolodex (or some other business card file)
2. Family and friends
3. People referred by your family and friends (ask them!)
4. Membership directories from organizations you belong to

You'll be able to build up quite a list in no time. And if you keep postcarding over the years, your list will grow some more.

Martha Retallick, "The Passionate Postcarder," hails from Tucson, Arizona, USA. She is the author of Postcard Marketing Secrets, a downloadable PDF manual that will show you how to put postcards to work for your business?profitably. Learn more about it at:
http://www.PostcardMarketingSecrets.com


Article Source: EzineArticles

What is Data Management?

In today's competitive business world, company owners are working hard to find ways of getting and staying ahead. As to what is data management, it is a highly effective tool that plays an integral role for any business that wants to skyrocket to success. Over the years, the importance of IT or Information Technology has opened doors through innovative tools that are designed to not only analyze but also manage data.


Before computers, data was maintained in folders but now, we have some incredible tools that can help pull all stored data together, allowing it to be worked and managed in an effective and efficient manner. The bottom line answer as to what is data management - this is one of the most valuable keys for any business owner to run a company seamlessly.

Interestingly, while many people know there are important answers to the question what is data management, some fail to realize that regardless of the company's operation, a tool such as this can greatly improve overall performance. With so much data being gathered electronically, there has also become a serious need for solid data management. Every day, companies see an increase in data and unless they can get a good grip of it, keeping it organized, the business would simply not survive.

Therefore, what is data management - this is something every company needs if they want to be around for years to come. After information has been collected from numerous resources, a part of the management process is to analyze, sort, and organize the data so it can then be stored or sent to its next working point. In addition, good data management would help convert data into information that can be used in a powerful way.

When asking what is data management, you want to keep in mind that new technology has taken a basic concept and transformed it into various types of software and database applications specific to data. The applications on the market today are capable of doing so much with data such as sorting, searching, and even organizing it for presentation. The best part is the final format is professional and concise so the individuals looking at the data see a finished product, not merely a database of information that has yet to be deciphered.

The benefits of using data management are that companies find better operations, as well as a reduction of cost. Instead of having manual labor goes through mounds of data, these software applications to the majority of the work. Obviously, this saves a tremendous amount of time and effort, and again, money that could be used for the growth and success of the company in a different way.

Typically, any company interested in ways of maximizing value and benefits of available data, along with those who have large databases who understand the importance of protecting information need data management. Now, in answer to what is data management, it has to be a reputable system, one that has been designed to not only track and monitor data, but also manage, distribute, simplify, and verify processes for gaining and using information.

Even small companies have a tremendous amount of data, some irrelevant and some proprietary. To ensure the company can use all types of data to improve on the performance, scalability, and the production of how data is used, data mining is the number one solution. Being able to store data in its respective place and then having the ability to access the data all while knowing it is protected is a vital tool needed by all companies, large or small, and regardless of industry.

The bottom line in answer to the question of what is data mining is that in this world of computer technology, being able to strategically manage and operate a business depends heavily on data, which includes the way it is gathered, stored, manipulated, and shaped. Each type of company needs to use data management in a way that will benefit their specific industry best. What is data management - a system that has the capability of doing just that!

Without doubt, data management has quickly become a staple in the startup and growth of companies around the world. This one tool alone will aid in the way the business policies and procedures are established and then managed. Using a discipline such as this allows a wide variety of processes to be completed in a professional and secure way. Keep in mind that when answering what is data management, there are many dynamics to include modeling, administration, warehousing, mining, movement, security, quality assurance, architecture, software, and much more, all working together.

I began my professional career upon graduation from Virginia University with a BS in education in 1964. I enjoyed a rewarding career educating future generations, and as a retired teacher, I currently work on distance learning programs. My strongest area of teaching is online education.

I served as a consultant to various institutions for best practices on online teaching methodology. I conducted workshops on e-learning, and collaborated with local schools.

Article Source: Goarticles

BelWo Clinical Trial Data Management

The processing, handling and retrieval of clinical data, is at the heart of a successful clinical trial. Managing data in every sphere of business is highly essential. Data management enables how an entire organization flows in a methodical, systematic and processed way. However, above and beyond any other field, data management is critical in dealing with clinical trial research material.

BelWo Data Management System:

Once the data is acquired, the management of the data is essential to the success of the trial. The collected data is located on case report forms (CRF) and stored in the clinical data management system. Each case report form is named to avoid any mistakes. The data is checked for any typographical errors as well as any logical errors. Data coding is also done by the management system. Coding is done mainly to introduce medical terms into the attained data. In the end, the data is analyzed by regulatory authorities to approve or disprove.

BelWo provides a range of Clinical Data Management services to fit your specific clinical trials needs. The BelWo clinical trial data management team handles individual stand-alone services for smaller research trials to more complex data management for larger clinical trial studies.

BelWo’s objective is to convert the data into a reliable, accurate and meaningful trial output that meets international quality standards and regulatory guidelines. BelWo's clinical data trial management services have defined systems that enable faster decision-making.

BelWo Services:

Case report form (CRF) design

Database design and study setup

Data entry and verification

Data validation and query resolution

BelWo Benefits:

Increase quality of data captured during clinical research process

Reduced burden placed on healthcare professionals conducting clinical trials.

Improved patient care

Improved product and patient safety

Our clinical trial data management has provided a positive effect on speed, efficiency and the results of clinical trial studies since 2002. By utilizing technology, our data management services and clinical trial expertise we help you get the most from your data. BelWo's clinical trial data management provides accuracy, security and more control at a cost effective rate.

BelWo Inc. is a leading provider of Legal Process and Business Outsourcing (BPO/LPO) services. BelWo is headquartered in Troy, NY (USA). The global, BelWo service centers are located in Chandigarh, Pune, Bangalore, India and the Middle East. As a leader in outsourcing, BelWo Inc. provides Clinical Trials Document Management, litigation support and legal document management services.

Article Source: Articledashboard

Data Collection, Just Another Way To Gather Information

Government, manufacturing industries, advertising firms, non-governmental organizations conduct data collection just to gather information regarding views, opinions and reactions form the public or the target consumer and use it for various decisions and actions.

Data collection just does not help the companies to launch new products or know about the public reaction to a specific issue, it is a very useful tool for statistical inferences, once the collected data is compiled. The process of data collection is the third step of the six step market research processes. Data collection can be done in two ways involving various technicalities. In this article, we shall give a brief overview of the same.

Data collection can be done in two ways - secondary data and primary data. Secondary data collection involves is the information available in books, journals, previous researches or studies and the Internet. It basically involves making use of the data already present to build or substantiate a concept.

On the other hand, primary data collection is the process of data collection through questionnaire by directly asking respondents of their opinions. Forming the right questionnaire is the most important aspect of data collection. The researcher conducting the data collection just has to be aware of the process. He should have a clear idea about the information sought by the concerned party.

Besides, the data collection officer should be able to construct the questionnaire in such a way so as to elicit the responses needed. Having constructed the questionnaire the researcher should identify the target sample. To illustrate the point clearly, we shall look into the following example.

Suppose, data collection is aimed from an area A, then, if all the residents of the data are given the questionnaire, it is called a census or in other words data collection is done from all the individuals of the specified area. One of the most common examples of data collection done by the government is census. For example the population census conducted by the US Census Bureau every ten years. On the other hand, if only twenty or thirty percent of the population living in area A are given the questionnaire, the mode of data collection would be called sampling.

The data collected from the target sample with a well-defined questionnaire will project the response of the entire population living in the area. Data collected from a sample helps to control the cost and time spent on collecting data from the population. Sample is a part of population.

Data collection just gets easier from the target sample with the help of a pretested questionnaire, which is later analyzed using statistical tests like ANOVA, Chi Square test and so on. These tests help the researcher to infer the result obtained from the data collection.

Market research/data collection is a fast growing and lucrative career option now days. One has to undertake a course in marketing, statistics and research before starting out. It is indeed very important to have a through understanding of various concepts and the theories related. Some basic terminologies related to data collection are: census, incidence, sample, population, parameters, sampling frames and so on.

There are numerous jobs available from research agencies like A.C Nielsen, fast moving consumer goods (FMCG) companies or advertising firms, some government agencies, international developmental organizations and so on.

Article Source: ArticleTrader.com

The Future of Web Data Extraction

Web data extraction is a now a popular activity performed by companies operating in almost any area. Why do businesses need to extract data from the Internet? The web is the biggest source of information – share indexes, air temperature, price updates and various other data can be found there. While there are still many companies which rely on manual data extraction, the number of firms which prefer to use specialized software has been continuously rising, especially in recent years.


One example of a successful and widely popular provider of web data extraction software is Ficstar Software, a Toronto-based company with numerous clients all over the world. Ficstar’s web data extraction technology enables organizations to quickly and easily get the results they want. The solution delivers optimized efficiency by accelerating and reducing the time needed for copying and storage. It also eliminates error-prone manual processes and ensures that extracted data is always free of man-made errors. Using the solution is also very affordable to companies which would otherwise have to spend more money on manual extraction.

One of Ficstar’s most popular products is the Web Grabber. It is able to extract data from nearly any web site, including e-commerce sites, member list directories, search engines, and others. Web Grabber dynamically locates and captures information from target sites, and automatically transforms into a text file, Excel spreadsheet, or any database format. Web Grabber products include the innovative E-commerce and Contacts solutions.

The E-commerce solution allows customers to easily search for and extracts key product details from any e-commerce web site, including product names, categories, prices, part numbers, descriptions, inventory levels, etc. It is very popular among online stores and other web-based businesses whose operation is closely connected to information contained on e-commerce sites.

The second product, Web Grabber Contacts, allows the collection of results from online business directories, member listings, and other web sites which contain contact information. This feature makes it possible for firms to quickly identify members of their target audience and collect contact information, to gather details to use in promotional campaigns, and locate professionals. It can also be used to build online business directories or residential listing sites.

These two new products are very popular as they meet some very specific needs of many modern companies. In order to meet the demand of all types of business, however, Ficstar now offers its Custom-Designed Web Grabber. The solution is customized for each customer by modifying the software to fit the specific requirements for their target web sites. The customization required for clients’ target web sites can be completed within just a few days, thus allowing customers to begin generating results almost immediately.

Customized solutions are a recent development, but are certainly part of a clearly noticeable trend of transition from manual to software-based web data extraction. Given its efficiency and affordability, software solutions will definitely conquer the field of web data extraction.

Custom Web Crawler Website Content Grabber

Article Source: Articlesbase

Unraveling the Data Mining Mystery - The Key to Dramatically Higher Profits

Data mining is the art of extracting nuggets of gold from a set of seemingly meaningless and random data. For the web, this data can be in the form of your server hit log, a database of visitors to your website or customers that have actually purchased from your web site at one time or another.Today, we will look at how examining customer purchases can give you big clues to revising/improving your product selection, offering style and packaging of products for much greater profits from both your existing customers and an increased visitor to customer ratio.

To get a feel for this, lets take a look at John, a seller of vitamins and nutritional products on the internet. He has been online for two years and has made a fairly good living at selling vitamins and such online but knows he can do better but isn't sure how.

John was smart enough to keep all customer sales data in a database which was a good idea because it is now available for analysis. The first step is for John to run several reports from his database.

In this instance, these reports include: repeat customers, repeat customer frequency, most popular items, least popular items, item groups, item popularity by season, item popularity by geographic region and repeat orders for the same products. Lets take a brief look at each report and how it could guide John to greater profits.

  • Repeat Customers - If I know who my repeat customers are, I can make special offers to them via email or offer them incentive coupons (if automated) surprise discounts at the checkout stand for being such a good customer.

  • Repeat Customer Frequency - By knowing how often your customer buys from you, you can start tailoring automatic ship programs for that customer where every so many weeks, you will automatically ship the products the customer needs without the hassle of reordering. It shows the customer that you really value his time and appreciate his business.

  • Repeat Orders - By knowing what a customer repeatedly buys and by knowing about your other products, you can make suggestions for additional complimentaty products for the customer to add to the order. You could even throw in free samples for the customer to try. And of course, you should try to get the customer on an auto-ship program.

  • Most Popular Items - By knowing what items are purchased the most, you will know what items to highlight in your web site and what items would best be used as a loss-leader in a sale or packaged with other less popular items. If a popular product costs $20 and it is bundled with another $20 product and sold for $35, people will buy the bundle for the savings provided they perceive a need of some sort for the other product.

  • Least Popular Items - This fact is useful for inventory control and for bundling (described above.) It is also useful for possible special sales to liquidate unpopular merchandise.

  • Item Groups - Understanding item groups is very important in a retail environment. By understanding how customer's typically buy groups of products, you can redesign your display and packaging of items for sale to take advantage of this trend. For instance, if lots of people buy both Vitamin A and Vitamin C, it might make sense to bundle the two together at a small discount to move more product or at least put a hint on their respective web pages that they go great together.

  • Item Popularity by season - Some items sell better in certain seasons than others. For instance, Vitamin C may sell better in winter than summer. By knowing the seasonability of the products, you will gain insight into what should be featured on your website and when.

  • Item Popularity by Geographic Region - If you can find regional buying patterns in your customer base, you have a great opportunity for personalized, targeted mailings of specific products and product groups to each geographic region. Any time you can be more specific in your offering, your close percentage increases.

As you can see, each of these elements gives very valuable information that can help shape the future of this business and how it conducts itself on the web. It will dictate what new tools are needed, how data should be presented, whether or not a personal experience is justified (i.e. one that remembers you and presents itself based on your past interactions), how and when special sales should be run, what are good loss leaders, etc.

Although it can be quite a bit of work, data mining is a truly powerful way to dramatically increase your profit without incurring the cost of capturing new customers. The cost of being more responsive to an existing customer, making that customer feel welcome and selling that customer more product more often is far less costly than the cost of constantly getting new customers in a haphazard fashion.

Even applying the basic principles shared in this article, you will see a dramatic increase in your profits this coming year. And if you don't have good records, perhaps this is the time to start a system to track all this information. After all, you really don't want to be throwing all that extra money away, do you?

Steven Chabotte is president of Big-Web Development Corp, specializing in the development of email productivity and marketing tools for the web. Steven can be reached at webmaster@maxsponder.com or you can visit our websites at http://www.maxsponder.com.


Article Source: EzineArticles.com

Web Mining - All About It

The World Wide Web is a huge expanse of information that is interlinked together to facilitate interactive access. Users can seek information that they desire by traveling from one object to another by following hyperlinks and URLs. The World Wide Web has over 800 million web pages that still continue to grow daily.


Because information on the internet grows daily, extracting crucial data becomes a daunting task. This is primly because it gets difficult to regulate the semi-structured and unstructured web content. Unlike print documents, information on the internet is constantly evolving and changing. And this is why database management becomes very complex. This necessitates the use of web mining tools.

Web mining involves the use of data mining tools to discover and extract information from the internet. Web mining can be divided into four subtasks:

• Resource Finding – The first step is to retrieve data from online and offline sources, be it resources on the internet like newsletters, websites content or HTML documents.
• Information Selection/ Pre-processing – After relevant information is extracted from the internet, the original data is transformed. The preprocessing of data could either be removing stop words, stemming or something that aims to obtain the desired information like finding phrases in the training corpus, representing the text in the first order logic form and so on.
• Generalization – This process involves identifying general patters and trends within individual websites as well as multiple websites. It usually requires a lot of data mining techniques and web oriented methodologies.
• Analysis – All the mined data and information is laid across, validated and the identified patterns are interpreted.

When a user views information, there are three basic factors that can influence the perception and evaluation process. They are:

• Web page Content
• Web page Design
• Website Design and Structure

While the web page contents include all the information and data available on the website, the other two factors have more to do with website accessibility and usability.
In the pursuit of relevant and useful information on the internet, there are three broad areas where web mining can be executed.

Web Content Mining
The process involves discovering useful information from web documents. The web has extended resources of data such as text, images, audio clips, video streams and so on. Internet research that involves mining of various types of data is known as multimedia data mining. Web content is generally unstructured in forms of free text or semi structured like HTML documents, tables and HTML pages. Web content mining aims at improving information finding on the internet and provide efficient results.

Web Structure Mining
This process involves discovering the data on the basis if underlying link structure on the web. This form of mining is based on the topology of the hyperlinks with or without a description of the links. It is very useful in categorizing web pages and identifying relationships, patters and trends within the website.

Web Usage Mining
This process involves analysis of the data generated by user behavior and browsing history. Web content mining and web structure mining relies on primary data but web usage mining relies on secondary data like data from the server logs, browser logs, user profiles etc.

Maneet Puri is a renowned entrepreneur and owner of LeXolution IT Services, a leading offshore outsourcing firm based in India. His firm offers a range of KPO services like web mining, data conversion, data processing and management services.

Article Source: Goarticles


What is Data Extraction?

Data Extraction can be defined as the process of retrieving Data from an unstructured source in order to further process it or store it. Data Extraction is extremely useful for large organizations who deal with huge amounts of data, on a daily basis, that need to be processed into meaningful information and stored for later use. In the highly competitive business world, vital statistics such as customer information, competitor’s operational figures and inter-company sales figures play an important role in the making of strategic decisions. By signing on to Data extraction Services provided by an external vendor, you will be able to have access to data from different sources like websites, databases, images and documents at your fingertips.What are the uses of Data Extraction?

Outsourcing companies provide Data Cleansing Services Extraction Services custom made to the client’s requirements. A few of the areas where Data Extraction and mining can be used are

to generate better sales leads

to track, extract and harvest product pricing data

to duplicate an online database

to capture financial data

to acquire real estate data

to search for specific job postings

to process auction information

to conduct market research , survey and analysis

to search online newspapers for latest pricing information

to extract and summarize news stories from online news sources

to conduct product research and analysis

What are the different types of Data Extraction Services?

Since Data Extraction involves the processing of data critical to your organization, any professional Data Extraction Service should be able to extract data from multiple sources and store them in a variety of media formats such as CDs / DVDs, PDF documents, XML etc. The two main sources from which data is extracted are

  1. Database Extraction: Updated data from multiple databases such as statistics about competitor’s products, pricing and latest offers and customer opinion and reviews can be extracted and stored as per client’s instructions. Extra care is taken to ensure that all data extracted is relevant, up to date and not duplicated.


  2. Web Data Extraction: As the Internet is regarded as the largest resource thesaurus in the world unlimited information such as URLs, titles, field texts from database, e-mail addresses, consumer and market data, online news, meta-data information, numerals, dates, as well as different kinds of pictures and document files can be extracted and processed to suit the client’s specific requirements.

What is the advantage of outsourcing Data Extraction Services to India?

Businesses have now realized the huge benefits they reap by outsourcing their Data Extraction Services. Since all projects are custom based to suit the exact needs of the customer, huge savings in terms of time, money and infrastructure are among the many advantages that outsourcing brings. The signing of Non-Disclosure Agreements and Service Level Agreements ensure that all Data Extraction projects are secure and will be completed well before the given deadlines. A few other advantages are

Ø Skilled and qualified technical staff who are proficient in English

Ø Quick turn around time

Ø Cost-efficient prices

Ø Well developed infrastructure and redundant systems that offer uninterrupted services

Ø Secure Network systems to ensure data safety

Ø Usage of OCR(Optical Character Recognition) Services , Screen Scrapping or manual extraction of data

Outsourcing of Data Extraction Services not only saves an organization thousands of dollars and man hours but it also enables businesses to get know their customers and thereby develop an edge over their competitors. The numerous advantages have made India the number one destination for Outsourcing of Data Extraction Services.

Outsource2india provides Outsourcing Services and Solutions, Data Entry Services, data processing services, data management, Business and Knowledge Process Outsourcing, Call Center Services, Healthcare Services, Engineering Services, Software Services, Digital Image Editing Services, Research & Analysis Services, Creative Services, Web Analytics Services, etc.

Article Source: http://www.articlesbase.com

Data validation made easy with iNetFormFiller

iNetFormFiller batch-submits your data to web forms and kills manual data entry as you send the entire selection of records to the target web forms in a single mouse click. Don’t waste your time on filling the same form over and over again!

The technology can be applied in many sectors: banking, financial, industry, IT. This particular case study shows how the solution can be implemented in banking.

In February 2008, we were contacted by a middle-sized bank located in Luxemburg. The faced the following problem.

The bank needed to validate data received from their clients. Until that time, the bank could not do without manual data entry.

PROBLEMS TO SOLVE: • Human errors related to manual data entry • Time spend on data validation • Use of scripts developed by third party

SOLUTION • Create a web-based interface for data validation • Use package software for data submission (integration of new features into existing system would be time-consuming)

BENEFITS • Only once technical effort per client • Client in charge of the data submitted • Reduction of manual data entry • Reduced intervention of third party

Says IT analyst of the bank: "It was a complicated task to find exactly what we wanted. So when we came across iNetFormFiller website, we were skeptical. We tried many products before, but they all were reliant on macro scenarios, but our web forms provide Java script and change configuration of fields as the operator enters data. iNetFormFiller proved to analyze the HTML code instead and correctly populates even the fields that are invisible with default form layout… We are not a large bank, but every day we need to process 800-900 entries, which would take 3 to 5 minutes per record manually, and 2 or 3 seconds with iNetFormFiller in automatic mode or 15-20 seconds in manual mode with step-by-step validation. In addition to saving operators’ time, iNetFormFiller is more reliable that human error-prone manual data entry. So far, we haven’t had any complaints about it."

Article Source: http://www.ArticleBiz.com

Web Research: Generate results very quickly

Web Research means research on Work, Education and Business. Web Research is study combined with learning. It is a detailed study of a subject in order to discover information or achieve a new understanding of it.


Web market research is especially effective where an organization has an existing relationship with those being surveyed. Such web-based research can itself form part of a positive and interactive relationship with customers, business associates, and employees. Alternatively, there are a number of successful techniques for targeting non-customers.

How to do effective Web research:

• Use search engines effectively
• Focus your research on quality STM information only
• Find hidden scientific information online
• Locate peer-reviewed, subject-specific directories
• Set up subject-specific alerts that automatically e-mail you the latest news

If you own a business and require consultation on some aspect, we have experts and guides who can provide you the best advice in Internet and online marketing strategies. Besides research on business trends, strategies, and products.

we also offer web research on a variety of subjects such as:

• Web Research and Online Data Entry
• Web mining and listing
• Web research and Red Flag Report creation
• Online research and database creation
• Web search and more

Advantages of Web research are:

• Cost saving
• Generate results very quickly
• Avoids the interruption and disruption, which phone surveys can create
• Allows respondents to complete surveys whenever and wherever it is most convenient for them
• Allows brief information (text, diagrams, photos, video, or podcasts) to be presented mid-survey, if required

The Web function is a huge digital library and serves a broad range of user communities with diverse backgrounds, interests, and usage purposes. Web research can be exciting, especially once you know how to apply the tools and techniques for finding, evaluating, and using information effectively.

If you would like more information about web research services, Please feel free to contact us: www.virtualstaffingservices.com

Article Source: ArticleTrader.com

Basic Concepts for a Data Warehouse

The concept of a data warehouse is to have a centralized database that

is used to capture information from different parts of the business process. The definition of a data warehouse can be determined by the collection of data and how it is used by the company and individuals that it supports. Data warehousing is the method used by businesses where they can create and maintain information for a company wide view of the data.

Data Warehouses became a distinct type of computer database during the late 1980s and early 1990s. Data warehouse evolved because demands could not be met with current operational systems. Ultimately, the need caused separate databases to be created that were designed to support decision-making information for departments or management. With this need, the development between operational and informational systems was produced.

The need has been established for a company wide view of data in operational systems. Date warehouses are designed to help management and businesses analyze data and this helps to fill the need for subject- oriented concepts. Integration is closely related to subject orientation. Data warehouses must put data from disparate sources into a consistent format. They must resolve such problems as naming conflicts and inconsistencies among units of measure. When this concept is achieved, the data warehouse is considered to be integrated.

The form of the stored data has nothing to do with whether something is a data warehouse. A data warehouse can be normalized or de-normalized. It can be a relational database, multidimensional database, flat file, hierarchical database, object database, etc. Data warehouse data often gets changed. Also, data warehouses will most often be directed to a specific action or entity.

Data warehouse success cannot be guaranteed for each project. The techniques involved can become quite complicated and erroneous data can also cause errors and failure. When management support is strong, resources committed for business values, and an enterprise vision is established, the end results may turn out to be more helpful for the organization or business. The main factors that create needs for data warehousing for most businesses today are requirements for the companywide view of quality information and departments separating informational from operational systems for improved performance for managing data.

Mickey Quinn is a father, husband, and soon to be an MIS graduate. He has a passion for team building and motivating his employees and friends. His extensive backgound in both customer service and information technology has enhanced his ability to "think outside of the box".

Article Source: EzineArticles

ABA Therapy and Data Collection

For decades, ABA Therapy has been the most effective form of treatment for Autism Spectrum Disorders. With many years of research having been conducted and showing time and again the effectiveness of the method, there is little doubt why it is the only treatment for Autism that most insurance companies will cover. One of the things that make ABA Training so effective is the rigorous data collection that occurs at every step along the way.

With ABA Therapy, data is collected after each section of teaching on a daily basis. This data is charted and typically graphed over a certain period of time. This helps parents, counselors, and teachers understand what areas of learning are progressing the most for a child as well as what areas need the most work. This helps significantly in designing an effective curriculum and can be the key to ensuring that a child learns everything they need to stay on par with their peers.

For home providers of ABA Therapy, data collection forms and graphs that are pre-made can be rather effective in helping parents form a curriculum that will be most effective. These graphs allow you to fill in the different things you are currently working on and help you to chart them in an easy to read and understand format that lets you see at a glance how progress is being made. By using these forms you can truly see all of the remarkable progress that your child is making from the objective viewpoint of hard data.

Many data collection packages come with a number of different types of forms. From graphs and probe sheets to reinforcement lists, there are many forms that can really help you maintain accurate data. While important for all providers of ABA Therapy, they can be especially important for parents to help them to see progress and hang-ups as data and to separate the emotional aspect of parenthood from the teaching aspect in order to best help their child.

In all, data collection is a very important part of ABA Training. Key to developing a curriculum that constantly teaches and pushes a child to learn and stay ahead, data collection helps children to learn as much as they can as quickly as possible. This can make a significant difference when preparing a child to enter school with their peers. With proper data collection, you can develop a curriculum that truly works, and when everything runs optimally, you can often help your child to not only go to school with their peers but to excel when they are there.

Garrett Butch is the father of a 6 year old with autism and is the founder of Maximum Potential. MP's courses in ABA Therapy and ABA Training were developed by 2 PhD BCBAs to empower parents and school systems and to provide effective and affordable training for school systems and parents. Visit MaximumPotentialKids.com to learn more.

Article Source: Articlesbase

Database Management Services

In the database management service, there exists a collection of interrelated files and a set of application programs to access and modify these files. The details of data storage, the way of storing data and its maintenance are safely hidden from the users. The database management services allow not only a single user, but it can be accessed by multiple users at the same time. This feature of multiple usages is allowed by almost every database management service provider.

A database management does not involve the problem of data redundancy or inconsistency. Its design is such that it provides the security mechanism to prevent unwanted users from accessing certain parts or whole of the database. For example, tellers in a bank see only that part of database that has information on customer accounts. They cannot access information about salaries of employees. It has many advantages over the file processing system, which stores the permanent records in various files. In this system the problem of redundancy prevails, as files and application programs are created by different programmers over a long period of time.

Besides keeping a tight control over data redundancy, efficient database management services also ensure the following:
Enforce user defined rules to ensure the integrity of data in table form.
Has a centralized data dictionary for the storage of information pertaining to data fields and data manipulation.
Database management ensures that data can be shared across all applications. It enforces data access authorization.
Database management service has an automatic, intelligent backup and recovery procedure of data.

A database management service also has its share of overheads. To begin with, its initial cost is very high, as it requires setting up of hardware, software and training, as well as, provision of security, concurrency control, and recovery and integrity functions.

Further on the down side, Database management service provides a generalized approach for defining and processing data. On the other hand, file processing system provides well defined database and applications that are simple and are not expected to change.

Smit Mathur is an expert for writting Articles and is currently working for Broadwayinfotech. For more information related to database management, Ecommerce Business Solution, Software Development, Web Application Development please visit:http://www.broadwayinfotech.com.au

Article Source: ArticleTrader.com

Data Extraction Software Explained in Plain English

Data Extraction Software is designed to automatically collect data from web pages. A lot of money can be made with Data Extraction Software, but there are two types of program - custom made and typical.Custom made solutions are designed by developers to extract from one particular source and they can't automatically adjust to another. So for example, if we are to create a custom-build data extraction program for website A, it won't work for website B, because they have different structures. Such custom made solutions cost more money than the standard ones, but they are designed for more complicated and unique situations.

Every data extraction program is based on an algorithm that has to be programmed in such a way that it will collect all the needed data from a given website. The reason why data extraction is so popular is that it saves on manual labor which can become expensive when outsourced. Data extraction software automates repetitive operations. For example, if you want to extract just the emails of every user in a given website, then you will have to pay a person to repeat the same steps over and over again like a robot. Those steps will most likely include clicking on the same place, then copying to the clipboard a piece of data that always resides on the same place on the screen.

Data extraction software is based on certain constants. By constants, I mean certain facts about a given program that do not change, no matter what. This is perhaps the only drawback of this type of software. But for the time being, it's the only way. The other way is to use artificial intelligence and make software programs think and make decisions like humans. They would have to adapt to new systems and it's almost unthinkable to consider such complicated solutions unless you are working on a very large scale.

The Bottom line here is that data extraction software is able to automate cycled operations that are otherwise expensive if handled by humans. Although the initial investment of money and time might seem expensive, it's definitely worth it in the long run, because your customized software will do the job in much less time, without the need for any human intervention.

So, if you are working on any task on the Internet, and you feel that task could be automated, then data extraction software maybe the solution you have been looking for.

For a deeper look into various data collection methods and more, such as Inventory Stock Control Software, and WMS Software then one click could provide all the answers you've been looking for.

Article Source: http://ezinearticles.com

Data Validation Through Tissue Analysis

The existing body of literature using Western blot analysis has been primarily defined with data from tumor, immortal, and primary cells growing in vitro. Collectively, results obtained over decades have been integral to the dogma that up- and down-regulation of proteins can be leveraged as Biomarkers of normal development, homeostasis, and disease. However, in contrast to tissues which are composed of multiple cell types, cell lines growing in culture which theoretically consist of clonal populations. Thus, validation or modification of western blot parameters collectively established from decades of cell line data in tissue lysates is key for Biomarker discovery.



IMGENEX can provide you with normal post mortem, cancerous, diseased, and normal adjacent clinical specimens matching your requirements. Custom collection protocols are welcomed. Specimens are available as frozen or formalin-fixed, paraffin-embedded tissue blocks, and include clinical case and detailed pathology reports, as well as final diagnosis and staging. Learn more about this service by visiting our website, or downloading our Tissue Procurement literature.


Related Products

* Tissue Arrays

* Single Tissue Slides

* Tissue & Cell Lysates

* Extraction/ Fractionation Kits

* INSTA-Blot Ready2use WB Membranes

IMGENEX India Pvt Ltd. the only biotech company in Orissa and one of its kinds in Eastern India. IMGENEX India started in Oct as an outsourcing branch of IMGENEX Corporation, San Diego, USA.Find out more information about Tissue Arrays.

Article Source: Articlesbase

Data Mining Using SAS Enterprise Miner

Data Mining Using SAS Enterprise Miner Randall Matignon, Piedmont, CA

An Overview of SAS Enterprise Miner The following article is in regards to Enterprise Miner v.4.3 that is available in SAS v9.1.3. Enterprise Miner an awesome product that SAS first introduced in version 8. It consists of a variety of analytical tools to support data mining analysis. Data mining is an analytical tool that is used to solving critical business decisions by analyzing large amounts of data in order to discover relationships and unknown patterns in the data. The Enterprise Miner data mining SEMMA methodology is specifically designed to handling enormous data sets in preparation to subsequent data analysis. In SAS Enterprise Miner, the SEMMA acronym stands for Sampling, Exploring, Modifying, Modeling, and Assessing large amounts of data.

The reason that SAS Enterprise Miner has been given this acronym is that usually the first step in data mining is to sample the data in order to acquire a representative sample of the data. The next step is to usually explore the distribution or the range of values of each variable to the selected data set. This might be followed by modifying the data set by replacing missing values or transforming the data in order to achieve normality in the data since many of the various analytical tools depend on the variables having a normal distribution. The reason is because many of the nodes in Enterprise Miner calculate the square distances between the variables that are selected to the analysis. The next step might be to model the data. In other words, there might be interest in predicting certain variables in the data. The final steps might be to determine which models are best by assessing the accuracy between the different models that have been created.

The Ease of Use to Enterprise Miner SAS Enterprise Miner is a powerful new module introduced in version 8. But, more importantly SAS Enterprise Miner is very easy application to learn and very easy to use. SAS Enterprise Miner is visual programming with a GUI interface. The power of the SAS Enterprise Miner product is that you do not even need to know SAS programming and have very little statistical expertise in the development of your Enterprise Miner project since it is as simple as selecting icons or nodes from the EM tool palette or menu bar and dragging the icons onto the EM diagram workspace or desktop. Yet, an expert statistician can adjust and fine-tune the default settings and run the SEMMA process flow diagram to their own personal specifications. The nodes are then connected to one another in a graphical diagram workspace. SAS Enterprise Miner is visual programming with SAS icons within a graphical EM diagram workspace. It is as simple as dragging and dropping icons onto the EM diagram graphical workspace. The SAS Enterprise Miner diagram workspace environment looks similar to the desktop in Windows 95, 98, XP, and Vista. Enterprise Miner is very easy to use and can save a tremendous amount of time having to program in SAS. However, SAS Enterprise Miner has a powerful SAS Code node that brings in the capability of SAS programming into the SEMMA data mining process through the use of a SAS data step in accessing a wide range of the powerful SAS procedures into the SAS Enterprise Miner process flow diagram. Enterprise Miner produces a wide variety of statistics from descriptive, univariate, and goodness-of-fit statistics, numerous types of charts and plots, traditional regression modeling, decision tree analysis, principal component analysis, cluster analysis, association analysis, link analysis, along with automatically generated graphs that can be directed to the SAS output window.

Article Source: ArticleBiz

Accelerating Accumulated Data Mining

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

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

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

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

"Lance Winslow" - Online Think Tank forum board. If you have innovative thoughts and unique perspectives, come think with Lance; http://www.WorldThinkTank.net/. Lance is an online writer in retirement.

Article Source: EzineArticles

Data Collection, Just Another Way To Gather Information

Government, manufacturing industries, advertising firms, non-governmental organizations conduct data collection just to gather information regarding views, opinions and reactions form the public or the target consumer and use it for various decisions and actions.

Data collection just does not help the companies to launch new products or know about the public reaction to a specific issue, it is a very useful tool for statistical inferences, once the collected data is compiled. The process of data collection is the third step of the six step market research processes. Data collection can be done in two ways involving various technicalities. In this article, we shall give a brief overview of the same.

Data collection can be done in two ways - secondary data and primary data. Secondary data collection involves is the information available in books, journals, previous researches or studies and the Internet. It basically involves making use of the data already present to build or substantiate a concept.

On the other hand, primary data collection is the process of data collection through questionnaire by directly asking respondents of their opinions. Forming the right questionnaire is the most important aspect of data collection. The researcher conducting the data collection just has to be aware of the process. He should have a clear idea about the information sought by the concerned party.

Besides, the data collection officer should be able to construct the questionnaire in such a way so as to elicit the responses needed. Having constructed the questionnaire the researcher should identify the target sample. To illustrate the point clearly, we shall look into the following example.

Suppose, data collection is aimed from an area A, then, if all the residents of the data are given the questionnaire, it is called a census or in other words data collection is done from all the individuals of the specified area. One of the most common examples of data collection done by the government is census. For example the population census conducted by the US Census Bureau every ten years. On the other hand, if only twenty or thirty percent of the population living in area A are given the questionnaire, the mode of data collection would be called sampling.

The data collected from the target sample with a well-defined questionnaire will project the response of the entire population living in the area. Data collected from a sample helps to control the cost and time spent on collecting data from the population. Sample is a part of population.

Data collection just gets easier from the target sample with the help of a pretested questionnaire, which is later analyzed using statistical tests like ANOVA, Chi Square test and so on. These tests help the researcher to infer the result obtained from the data collection.

Market research/data collection is a fast growing and lucrative career option now days. One has to undertake a course in marketing, statistics and research before starting out. It is indeed very important to have a through understanding of various concepts and the theories related. Some basic terminologies related to data collection are: census, incidence, sample, population, parameters, sampling frames and so on.

There are numerous jobs available from research agencies like A.C Nielsen, fast moving consumer goods (FMCG) companies or advertising firms, some government agencies, international developmental organizations and so on.

Article Source: ArticleTrader.com

Data Mining vs Screen-Scraping

Author: Todd Wilson

Data mining isn’t screen-scraping. I know that some people in the room may disagree with that statement, but they’re actually two almost completely different concepts.
In a nutshell, you might state it this way: screen-scraping allows you to get information, where data mining allows you to analyze information. That’s a pretty big simplification, so I’ll elaborate a bit.
The term "screen-scraping" comes from the old mainframe terminal days where people worked on computers with green and black screens containing only text. Screen-scraping was used to extract characters from the screens so that they could be analyzed. Fast-forwarding to the web world of today, screen-scraping now most commonly refers to extracting information from web sites. That is, computer programs can "crawl" or "spider" through web sites, pulling out data. People often do this to build things like comparison shopping engines, archive web pages, or simply download text to a spreadsheet so that it can be filtered and analyzed.

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A Cool Software for Extraction, Harvesting, Mining and Spidering Web Data

Author: Ambreen Tariq

ListDNA, Division of VERTX SYSTEMS, LLC today announced the release of ListDNA software utility to help you build your own marketing lists from the web.

There are few tools on the web which allows individuals and small business owners to build and generate your own unique marketing lists with e-mail, phone, fax and urls all included – easily. Sure you can buy all types of lists for $300+, and we went down this path.

We purchased an e-mail list for $1000/- and they would e-mail our product and service to 1MM opt-in e-mail users (not spam). Do you know our return on investment - $0.00 big ZERO!! Why?

The Company we bought the list from did do the work, they did send out 1MM e-mails but they did not bother to tell us that all of these e-mail users were outside USA, outside our demographics based on our target.

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When, Why, and How to Use Mailing Lists

Author: DeAnna Spencer

Mailing lists may be the cause of more heartbreaks than anyother single factor in mail order. A poorly chosen list, a weakmailing and the high cost of mailing to a list can tax theoptimism of a new dealer very, very quickly. Arm yourself withknowledge before embarking on a course like this!

Whether you should use a mailing list to sell your productdepends on several things:

Is it too complex an offering to be explained in a 30 word ad?

Can you afford to mail 200 to 1,000 pieces on the chance thatyou won't get a single order?

Can you make a profit selling your product to only two to twentypeople in a 1,000 piece mailing?

Will a re-order of your product be required, and can you makeyour re-orders pay for the losses you will likely get frommailing to a list?

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