Oracle Data Mining for Business Decision Makers

Oracle Data Mining helps enterprises improve business processes, better understand customer behavior, identify unexpected opportunities, and anticipate problems before they happen. Having the right information at the right time helps you make more informed business decisions and solve critical business problems. Oracle Data Mining enables your organization to see the "forest for the trees" by identifying patterns in your data that normally go unnoticed. Emerging from Oracle's 30 year history of innovative technology, Oracle Data Mining provides answers quickly and easily, not only for your data analysts, but for your IT department as well.

Oracle Data Mining combines the power of Oracle Database, a suite of predictive analytic techniques, and the Oracle Data Miner graphical user interface to take you from data to information quickly and easily. Oracle Data Mining, an option to Oracle Database Enterprise Edition, provides a superior, cost effective analytical platform for users of Oracle technology.

Oracle Data Mining enables you to:

Make Better Decisions:
Oracle Data Mining empowers you to make the important business decisions to simplify your analytical environment, reduce costs and redundant infrastructure, and provide your team with greater insights and predictive capabilities, all by virtue of putting powerful data mining algorithms into Oracle Database.
Solve a wide range of business problems by using Oracle Data Mining's powerful collection of advanced and state-of-the art analytical techniques.

Extract More Value from Your Data:
Collecting and maintaining data is expensive in terms of both machine and human resources. Don't let it sit idle in your database or data warehouse aging out. Use your data to better understand relationships, patterns, and predictions of what your customers are likely to do in the future.

Lower Your Total Cost of Ownership:
Save money by eliminating redundant data and its associated costs in hardware, software, personnel, and its potential inconsistency. Reduce your dependency on traditional statistical departments with special hardware and software environments.