Articles today explain when it’s time to swap out a legacy BI system and how to establish business needs before choosing a popular new solution.
- By Quint Turner
- May 19, 2016
Transitioning to agile development methods can be easier said than done. One way to facilitate the transition is to schedule "spike" stories for planning and discovery.
Basketball shots, comparing mortality rates, and the Panama Papers are the highlights of data visualizations this week.
- By Lindsay Stares
- May 18, 2016
Learn the major barriers to implementing real-time analytics, why data governance policies are key to implementing big data, and how to use better data security policies to restore employees’ trust
- By Quint Turner
- May 18, 2016
Microsoft's latest customer reference for its Azure Machine Learning service is a showcase example of IoT analytics at work.
- By Steve Swoyer
- May 18, 2016
Effective data preparation depends on recognizing how to handle what we know and what we don't know about a set of data. Our goal as analytics professionals is to make less unknown and more known.
- By Troy Hiltbrand
- May 17, 2016
Microsoft’s decision to extend Power BI’s natural language search technology to on-premises data sources is good news for Power BI subscribers.
- By Steve Swoyer
- May 17, 2016
What does a so-so economy do to predictive models? Plus one candidate says voter data is overrated.
- By James E. Powell
- May 17, 2016