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
Yellowfin's BI platform has been an analytics powerhouse all along, according to CEO Glen Rabie
- By Stephen Swoyer
- March 25, 2014
In the last part of our series, we examine the business-driven context for BI and the link between the agile development and a business's agility imperative.
The vast majority of predictive analytics projects can be conceptualized as falling into one of four basic types, from which we can creatively combine the benefits of each to enhance our organizational performance.
Analytics tools and platforms must evolve to enable the promise of big data, including mining the most from semi-structured data.
How to change development processes to increase business value and speed information delivery.