Data Warehousing/Data Mining
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.

 


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