We offer four distinct pillars of a successful big data strategy for decision makers in new product development.
As the value of analytics becomes clearer, organizations are turning to embedded analytics -- tightly integrating analytics into a business process or application. That can help analytics become more pervasive, but it must be done right.
- By Linda L. Briggs
- May 5, 2015
Three examples demonstrate how insights obtained through incremental and real-time analytics can enhance strategic decisions and operational processes.
The race for dominance in big data security is on. Big data vendors understand that end users would like to get back control similar to what they had in large data warehouses to meet their customers' expectations.
It takes far more than data to have a credible data-driven application that's compelling to a wide range of business users.
- By Philip Russom, Ph.D.
- April 21, 2015
Jill Dyché discusses topics from her newest book. As boundaries between business and IT change, how successful executives are driving transformation within their companies.
- By Linda L. Briggs
- April 14, 2015
Advances in data preparation and integration will have a major impact on BI, visual analytics, and data discovery. Here are three points to consider as you evaluate and deploy these recent software entries.
- By David Stodder
- April 14, 2015
Big data presents several data- and technology-based challenges to data security. In the first part of a two-part discussion, Raghuveeran Sowmyanarayanan at Accenture discusses the problems raised by data volumes, variety, and velocity.
Jill Dyché 's newest book looks at how boundaries between business and IT are changing as IT undergoes its dramatic evolution.
- By Linda L. Briggs
- April 7, 2015