How to Succeed in Data Mining and Predictive Analytics

Drawing on more than two decades of experience, Dean Abbott speaks about applying advanced data mining, data preparation and data visualization methods to real-world, data-intensive problems. His most recent projects include customer acquisition, tax modeling, and web analytics and email remarketing for retail. Abbott has also worked in the arenas of fraud detection, response modeling, survey analysis, planned giving, predictive toxicology, signal process and missile guidance.

In this video:

• Opportunities for more effective data analysis with greater impact.
• The importance of good data visualization.
• The need for integrating statistics into the entire business process.
• Getting entire teams involved in statistical analysis and data mining.