Online Web Research Services & Data Research, Data mining

The invention of the Information Superhighway has made remarkable impact on how we live today. The world has changed and the acquisition of knowledge has never been so easy. In the business environment, competition has become a whole lot more intense. Companies that used old business models have died instantly because they never saw what lies ahead of them. A small company with enough knowledge and blazing unique ideas became a great success and became instant Icon recognizable globally in Web Marketing for Software just because they know how the game works.

Today, the game is not just about knowing how your business works. It is about knowing how will your business will be able to adapt to the rapidly changing business environment. It is about knowing what lies ahead of what is here right now. That is why companies have embraced a new generation of technologies to know this information. Data Mining is what I was referring to. Data Mining is about discovering patterns from a seemingly chaotic sets of very large information, transform this newly discovered patterns into structures that will form another sets of information from which a trend will be uncovered and eventually generate a new prediction.

Data Mining is also very useful in Search Engine Optimization process. Knowing the quantity of searches for a given keyword from certain geographic location and be able to jump in the particular sets of information could guarantee increase in high quality web visitors that would have high conversion rate. It has been a fact that organic visitors (visitors referred by search engines) are the ones that most businesses are after because of their high conversion rate. But is not enough though that having to attract visitors would guaranteed success. Data Mining is also used to interpret data collected from logs or footprints left by the visitors to know which part they probably did not liked, what they liked most and what would make them like the website more than they should to keep on patronizing the product.
Aurhor: Maria Cooper Lee
Source: http://www.articledashboard.com

With the hit of the era of information technology, we have incorporated into an ocean of information. This information explosion is based heavily on the Internet, which has become one of the global information infrastructures. We can not the fact that every day that goes deny the content of the website are growing by leaps information and as such, it becomes increasingly difficult to obtain the desired information we are really looking. Web mining is a tool that can be used in customizing Web sites based on content and also by the user. Web mining includes normal use of the contents of mines and structure.

Data mining, text mining and web mining, different techniques and procedures to provide the necessary information to the huge database, so that companies can make better business decisions with precision, therefore, data mining, text mining and Web mining helps a lot in promoting The objectives of the "customer relationship management", whose main objective is to initiate, develop relationships with customers and adapt through profiling and classification of customers.

However, there are many issues to be addressed while dealing with the process of exploring the web. Confidentiality can be said of the trigger-button issue. Recently, complaints and breaches of confidentiality concerns considerably, as traders, businesses and governments continue to collect and store the vast amount of private information. There are concerns not only the collection and compilation of private information, but also the analysis and use of such data.

Fuelled by public concern about the increasing amount of statistics and effective technologies consisting of: conflict between confidentiality and mining is probably the basis for the higher levels of inspection in the coming years. Legal disputes are also likely in this regard. There are other problems that data mining. "Incorrect information" may lead us to vague and inaccurate analysis results and recommendations.

The submission of false information or false information when importing customer data creates a real danger to the effectiveness of web mining and effectiveness. Another risk in data mining is the mining industry may be confused with data warehousing. Companies developing data warehouses without using the correct browser software are less likely at the level of accuracy and efficiency to reach and they are also less likely to take full advantage. Similarly, cross-selling cause a problem if it breaks the privacy of clients, the violation of their faith or bored with unnecessary stress.

Web mining can be a great help to improve and link marketing programs that focus on the customers' interests and needs. Despite the potential obstacles and barriers, the market for the exploration of the web to increase by several billion dollars in the coming years. Mining can identify and target potential customers, what information is "buried" in the vast databases and strengthen customer relationships.

Data mining tools can not predict future market trends and consumer behavior, which may help companies make resolutions and proactive, knowledge-based. This is one reason why data mining known as "Knowledge Discovery". It can be said of the process of analyzing data from different perspectives and sorting and grouping data identified and finally to a database of useful information, which can still be analyzed and used by companies to establish and enhance revenue generation and cost reduction.
Author:Joseph H. Hayden
Source:http://www.searcharticles.net/

From large database, to extract important and hidden data (information) for predictive analysis which is technically defined as automated data mining practice.

In other words, to retrieve very crucial data from huge amount of information which is presented in an analyzed form for specific decision making consider as data mining. In the business, most of researcher, analyzer or marketers understand the value of data mining with financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer.

Data mining include following range of research area of internet market data research such as:
- Data Collection or Data Extraction - collecting information based on client requirements from different websites by a manual or automated process.
- Creating mailing lists with information like contact name, title, company information, address, telephone, fax, contact email, website etc. for marketing campaigns, and advertisements.
- Collecting product details like price, product description, quantity, and images or photos from other websites or product catalogs, and feeding them into content management systems or online portals.
- Running customized scripts for data extraction or data capture from websites with huge volume of data which saves time and cost.
- Checking for product updates like prices, product availability or product specifications, which change frequently and updating the database of e-commerce websites.
- Populating information into desired output formats like MS Excel, MS Access, CSV formats or any other formats according to client requirements.

Data mining itself requires the use of mathematical algorithms and statistical techniques integrated with software tools. Data Mining is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, fraud detection, web site personalization, e-commerce, healthcare, customer relationship management, financial services and telecommunications.

Outsourcing Web Research has worked positively and effectively for its clients globally. Our data mining expert is well versed in the cross discipline nature of data mining in fields such as banking, insurance, e-commerce, airline, telecom, and retail.

Our experienced team of data mining experts is ready to solve your data mining problems. Outsourcing Web Research is well known data mining company, having 17+ years of experience in the bpo industry.

Outsourcing Web Research- We invites you to explore its data mining services for effective management of your information needs. For more information you can contact at: http://www.outsourcingwebresearch.com

DATA MINING –CONCEPT AND TECHNIQUES

INTRODUCTION
Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cut costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it and summarize the relationships identified. It is the process of finding correlations or patterns among dozens of fields in large relational databases.

DATA, INFORMATION AND KNOWLEDGE

Data: Any facts, numbers, or text that can be processed by a computer is Data. Large amounts of data are being accumulated by the organizations in different formats and different databases. There are three types of data.

Operational or transactional data: This includes sales, cost, inventory, payroll, and accounting.

Non-operational data: Data from industry sales, forecast data, and macro economic data are considered non-operational.

Meta data: Data about the data itself. This includes logical database design or data dictionary definitions.

Information: Patterns, associations, or relationships among all the above type of data provide information of all the above types of data.

Knowledge: Information can be converted into knowledge about historical patterns and future trends. For example, a manufacturer or retailer could determine which items are most susceptible to promotional efforts.

FOUNDATIONS OF DATA MINING

Data mining techniques are the result of a long process of research and product development. This evolution began when business data was first stored on computers, continued with improvements in data access, and more recently, generated technologies that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery. Data mining is ready for application in the business community because it is supported by three technologies that are now sufficiently mature:

⃰ Massive data collection

⃰ Powerful multiprocessor computers

⃰ Data mining algorithms

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Overview of Data Mining and Process:
Data mining is one of the unique techniques for investigating data or information to extract certain data patterns and decide to outcome of existing requirements. Data mining is widely use in client research, services analysis, market research and so on. It is totally based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

Data mining is mostly used by financial analyzer, business and professional organization and also there are many growing area of business that are get maximum advantages of data mining with use of data warehouses in their small to large level of businesses.

Most of functionalities which are used in data mining process define as under:
* Retrieving Data
* Analyzing Data
* Extracting Data
* Transforming Data
* Loading Data
* Managing Databases

Most of small, medium and large levels of businesses are collect huge amount of data or information for analysis and research to develop business. Such kind of large amount will help and makes it much important whenever information or data required.

Why Outsource Data Mining Service?

Outsourcing advantages of data mining services:
- Almost save 60% operating cost
- High quality analysis processes ensuring accuracy levels of almost 99.98%
- Guaranteed risk free outsourcing experience ensured by inflexible information security policies and practices
- Get your project done within a quick turnaround time
- You can measure highly skilled and expertise by taking benefits of Free Trial Program.
- Get the gathered information presented in a simple and easy to access format

Thus, data mining is very important part of the web research services and it is most useful process. By outsource data mining service; you can concentrate on your co relative business and growing fast as you desire.

Outsourcing web research is trusted and well known Internet Market research organization having years of experience in BPO (business process outsourcing) field.

We provide web research services for all your business specific requirements and stay on constant touch with you for instructions, status updates and accomplish the requirement within the given time and with high accuracy.

You can use our FREE Trial Offer for any web research services for first few hours. No hidden Charges and you can test our accuracy and fast web research services.

If you want to more information about data mining services and related web research services, then contact us at: http://www.outsourcingwebresearch.com/data-mining.php OR outsource data mining requirements.

Outsourcing Web Research has best infrastructure includes 200+ workstations supported by advanced technologies. Know about our web research services, please contact us at: http://www.outsourcingwebresearch.com/contactus.php OR e-mail us.

Written by: James Lee

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

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

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

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PR Log (Press Release) – Feb 09, 2010 – Online Web Research is a leading web research services provider company. We offer data collection, data extraction, data validation and data mining services. We are specialized in data mining services at 60% less data mining cost. We offer an absolutely free data mining trial without any financial obligation so that our clients can get an idea about quality of our data mining services.

Online Web Research is providing professional data mining services as a standalone offering to clients who are requires reliable and efficient data mining services. We use a variety of data mining methods at our data mining center to ensure that the data mining project is carried out to your specifications, quickly and cost effectively with 99.98% accurate data mining.

Data mining services help you to discover useful information from the web hyperlink structure, page contents, usage data and other sources. Data mining is a process of mining of data from the World Wide Web or any other offline sources using algorithms, software and tools to retrieve, collect, analyze and report information from a huge pool of data.

Experience of data mining team allows us to take less time in understanding of data mining requirements and design data mining program to fulfill your data mining needs. Our experience and skills enables us to pinpoint exactly the services needed to attain the most cost-effective solution possible.

Our affordable data mining services are:
• Web Data Mining
• Text data mining
• Pre-processing of data from the data warehouse
• Web data mining services
• Data mining research
• Online newspaper and news sources information research
• Excel sheet presentation of data collected from online sources
• Competitor analysis
• Data mining books
• Data interpretation
• Updating collected data

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