Since it introduced Power BI publisher for Excel, Microsoft has been working to enhance it with new features and to fix bugs highlighted by users.
- By Steve Swoyer
- September 21, 2016
Today learn why users turn to shadow IT solutions and why trusting blindly in data analytics may perpetuate biases.
- By Quint Turner
- September 20, 2016
If your team has been taking "too long" to finish its big data project, here are five steps to take now to regain trust and respect and show the business benefits of your work.
- By Jill Dyché
- September 20, 2016
According to new survey, data from research firm Clutch, most users of BI data analytics tools find traditional data types more valuable than new data sources. Is this really a surprise?
- By Lindsay Stares
- September 15, 2016
New practices such as self-service data prep, exploration, and discovery don't work well (or at all) without new ways of making data more accessible.
- By Philip Russom
- September 14, 2016
Data scientist Nathan Hamilton explains that a strong grasp of statistics and a creative, problem-solving imagination have made him a successful data scientist.
- By Steve Swoyer
- September 13, 2016
In many cases, it's still possible to extract personal info from anonymized data. Thanks to changing regulations, differential privacy and other new techniques for obscuring sensitive data are going to start getting a lot more attention.
- By Steve Swoyer
- September 12, 2016
Hiring a data scientist doesn't mean your work is done. Building a center of excellence and ensuring good relations with IT are both valuable steps toward a successful analytics program.
- By Shawn Rogers
- September 12, 2016