Ready to embrace the millennial mindset for your data analytics? We offer five tips for encouraging the budding data analysts in your own organization.
Many paths lead to the improvements users need for analytics, big data, real time speed, productivity, and costs.
- By Philip Russom, Ph.D.
- May 20, 2014
There's much to be gained by taking proactive steps to become more than just the "IT" person -- for the organization and the IT professional.
- By Mike Schiff
- May 20, 2014
Healthcare provider Catholic Health Initiatives is using governance and enterprise intelligence to help meet the challenge of rapid changes in healthcare.
- By Linda L. Briggs
- May 20, 2014
Many paths lead to the improvements users need for analytics, big data, real time speed, productivity, and costs.
- By Philip Russom, Ph.D.
- May 20, 2014
In the world of real-time BI, faster may not be better. We offer three issues to consider as you pursue real-time BI and analytics.
- By David Stodder
- May 20, 2014
When evaluating variable data for a given business intelligence objective, we may observe that the relevant variables are not reliable or that the reliable ones are not relevant. Here's how to address this situation.