Data Mining is a wonderful technology. It is a great marriage of three areas of study:
Statistical theory + Probability Analysis + Technology
The end result is a powerful engine, that provides the capability to highlight patterns and relationships within our business data that we may never have seen previously.
However, one of the massive shortfalls of Data Mining implementations is the lack of visibility / usability of these mining models within real world business scenarios.
This series of blog entries discusses a number of mechanisms that we can use to expose Data Mining within larger applications; thus ensuring a higher user acceptance of Data Mining and hopefully more profitable businesses at the end of the day 🙂
At a high level, the mechanisms I will cover include: