Data Mining & Warehousing

:: Client List

:: Latest News
JAKS bagged a prestigious order from Govt. Of Uttar Pradesh for setting up labs in Government Departments>> JAKS & UEPPCB join hands for website upgradation>> JAKS got a prestigious order from AIRTEL, UP West & Uttaranchal for setup of entire Boardroom's wireless LAN>> JAKS continues its success story by getting an order from PEPSICO, Bazpur & Jainpur>> JAKS continue to strive excellence in getting contract from Frooti>> JAKS giving value Proposition for Six Sigma >> JAKS RFID Warehouse Solution>> JAKS bagging a Prestigious order from Indian Defence>> JAKS continue to strive excellence in getting contract for Media Industry>> JAK Software along with MindTree Consulting begged a Largest E-Governance Project for Govt. of Rajasthan

Data Mining & Warehousing in JAKS business environment is the automated extraction of hidden predictive information from databases. Data Mining and warehousing purpose is to support integration and dissemination of information for marketing purposes and analytical customer relationship management applications. Data Mining and warehousing is a vital tool to improve customer focus & hence bottomlines.

Data mining and warehousing services offered by quality offshore vendors from India are designed to ignite conventional modeling and targeting applications. This is done using a combination of domain experience, state-of-the-art modeling science. Especially in offshore outsourcing services, data mining and warehousing is in high demand cause of the low cost & time factors.

Offshore Companies from India help also fit the Data Mining results into the execution of marketing campaigns that enhance the profitability of customer relationships. JAKS can help you create huge, central stores of customer data that can be used throughout the enterprise & increase productivity.

The objective of Data Mining and warehousing is to provide and maintain a consistent view of an organization's core business entities, which may involve data that is scattered across a range of application systems. The type of data involved in this process varies by industry and organization, but examples include customers, suppliers, products, employees and finances. Presently, many Data Mining applications concentrate on the handling of customer data because this aids the sales and marketing process, and can help improve sales and thus revenues.

The objective of both Data Mining and warehousing is to provide a consistent view of dispersed reference data. This view is created using data integration techniques and technologies, and may be used by business transaction applications and/or analytic applications. What Data Mining bring to data integration are the business semantics about the reference data as it relates to the business entity and industry involved. The value of the Data Mining solution is not only based on the technology platform provided, but also on the power of the business semantic layer. In Data Mining, data can also act as a data source for data warehousing applications.