Data Warehousing 
RisingSoft Data Warehousing Approach includes guidelines and support for Project Management, Project Control and the Project Lifecycle. It addresses organizational factors, such as business buy-in and resource control. It addresses key technical issues from extraction of data to building the information delivery applications.
While encompassing all these aspects, it also provides the ability for both existing and new technologies.
A very important part of the approach is the way in which it provides a straightforward mechanism for communicating and documenting the Project. There is always clarity of understanding amongst all those involved.
Data Mining
Today, databases in corporations are growing exponentially. But less than 10% of these are being analyzed! Within these large masses of data, important strategic information is hidden. How can we extract meaningful information from millions of pieces of data?
The new technology which can automatically extract information/knowledge from large sources of data is called Data Mining. Data Mining uses sophisticated Statistical and Machine Learning analysis and modeling techniques to uncover unusual patterns and relationships hidden in large corporate databases. These patterns can be deployed to provide competitive advantage.
For example, this technology can help increase the market share by providing useful insights to customer buying patterns. This technology can also help to reduce costs by detecting and preventing fraudulent transactions. Several retail, communication, e-commerce, and financial institutions have been achieving significant payoffs by using this technology.
