Maximizing the Return on OLAP and Data Mining Analysts

01.03.2014
#1790
This article discusses the differences between OLAP and data mining and the skills that analysts need to perform each kind of work. It then discusses how organizations can map out possible task assignments and career progression paths for analysts using a data mining maturity model in order to improve the assignment of analysts to tasks, increase analysts efficiency and effectiveness, and improve analyst job satisfaction and retention.
Submitted By: Hugh J. Watson - University of Georgia
Readings, Articles

This article discusses the differences between OLAP and data mining and the skills that analysts need to perform each kind of work. It then discusses how organizations can map out possible task assignments and career progression paths for analysts using a data mining maturity model in order to improve the assignment of analysts to tasks, increase analysts efficiency and effectiveness, and improve analyst job satisfaction and retention.

Citation: Watson

Access More Content Like This

Register