Filling the gaps in data can mean the difference between an analytics project's success and failure. Choosing the right method is a combination of art and science that requires understanding the business, the data, and the targeted decision.
- By Troy Hiltbrand
- May 9, 2016
A recent market survey highlights how much the data warehousing market -- and what's meant by the term "data warehouse" -- has changed.
- By Steve Swoyer
- May 6, 2016
Do you know what data you have available? Are you making the most of it? These guidelines for a data inventory can help answer these questions.
- By Wes Flores
- April 28, 2016
Imagine empowering more of your employees by using self-service data prep tools to address both exploratory use cases and operational use cases.
- By Steve Swoyer
- April 27, 2016
Customer analytics can help you optimize business processes, but first you must assess how you are managing your customer data.
- By David Loshin
- April 25, 2016
Big data platforms such as Hadoop, Cassandra, and Spark are usurping the central role of the ETL engine that is at the heart of data integration.
- By Steve Swoyer
- April 18, 2016
Organizations must recognize when an overly restrictive governance regimen is an impediment to innovation -- particularly to innovation that has the potential to accelerate business intelligence or analytical development.
- By Steve Swoyer
- March 18, 2016
Several start-ups market products designed to address the lack of data management features for big data platforms. For example, Diyotta provides a scalable architecture for big data integration including old-world enterprise amenities such as metadata management.
- By Steve Swoyer
- March 18, 2016