Best Practices in Data Mining, Part 2

Presented: Thursday, November 16, 2006

Speaker: Peter Shaw, Senior Consultant, Insightful Corporation

Listen to the archived web cast.

Download the web cast presentation.

How do you extract, recognize and act on the valuable knowledge that is buried in your vast amount of data?

Your company or group has been amassing a large quantity of specialized data that captures day to day events.  Unlocking the valuable information contained in this data can give your group an advantage in making business decisions going forward.

How can your group best extract this knowledge in this data, learn from it, and use this knowledge to guide your actions and key business decisions going forward?

Part 2 of the series will explore further data modeling methods such as survival methods.  In addition we will discuss how the results of data mining can be leveraged to understand underlying customer behavior, for example.  Such knowledge is then valuable in choosing appropriate business actions, such as designing an optimal marketing campaign.

Missed Part 1? View Web cast. In Part 1, we describe the types of situations where data mining is useful, and the value it can add to business decisions.  We will cover the key steps of successfully incorporating data mining into your practice, the types of tasks that can be accomplished with data mining techniques, and best practices in making the data mining activities a success.