If you want to understand data integration in an age of analytic heterogeneity, you must follow the process: process movement, not data or workload movement, is where it's at.
- By Stephen Swoyer
- April 8, 2014
Having all the data can't help your company improve its overall operations. To drive and maintain BI adoption, an organization you must understand that change must be managed through three stages in five simple steps.
Report explores trends in data warehouse architectures and discusses how newly available, relevant technologies can be used to leverage new business opportunities for big data.
- By Philip Russom, Ph.D.
- April 1, 2014
The evolution TDWI is seeing in data warehouse architectures is due in part to evolving business practices and goals.
What is business-driven BI, what technologies are driving it, and which has the most impact on business leaders?
- By James E. Powell
- April 1, 2014
Managing big-picture BI is a challenge that demands clear relationships between business impact and information services. We must actively manage BI in three dimensions that drive business alignment: management, motivation, and measurement.
Engaging users directly with business analytics cuts to the chase, saving analysts' time and resulting in quicker answers.
- By Linda L. Briggs
- April 1, 2014