Drastic transitions in your environment can't happen overnight. To ensure success, develop a phased approach to migrate to your new environment.
- By David Loshin
- February 26, 2016
What high-quality data means and how to achieve it by working as a team, tips on de-duping multiple areas of the enterprise, from cloud servers to data, and a new paradigm for data integration.
- By Quint Turner
- February 26, 2016
Users of Microsoft Corp.'s PowerBI visual discovery software can breathe a deep sigh of relief. At long last, they'll be able to view reports on their mobile devices.
- By Steve Swoyer
- February 26, 2016
A recent AlphaGo victory is being touted as a Big Win for artificial intelligence (AI). It's a no less important win for machine learning, which might be in the midst of a renaissance.
- By Steve Swoyer
- February 25, 2016
Glassdoor recently released their review of the 25 best jobs for 2016. At the top of the list is the vaunted data scientist. What does it take to be a successful data scientist?
- By William McKnight
- February 25, 2016
Tips for making the most effective visualizations, plus the personal story of an IT strategist who made his enterprise's BI process useful.
- By Quint Turner
- February 25, 2016
The appeal of the agile technology alternatives goes beyond the potential for improved performance. They all represent approaches to augmenting the data warehouse environment in ways that reduce restrictions.
- By David Loshin
- February 24, 2016
Software development is in the midst of a transitional period, thanks to the emergence of use-oriented models like DevOps, which are revolutionizing application development, delivery, maintenance, and enhancement.
- By Steve Swoyer
- February 24, 2016
Use public data on social media websites and learn how to become a data scientist! Plus, how to attract millennials through analytics and how to use business analytics improve your financial picture.
- By Quint Turner
- February 24, 2016