By Greta Roberts, Jul 23, 2015
My plea to HR (and any other department hiring a Data Scientist)? Stop hiring real Data Scientists until you’re ready to do real data science.
By Jack Phillips, Jul 17, 2015
No amount of spending, and no technology stack is going to make a company analytical. We’ve seen this fact lost on too many companies. Research shows that more than half of analytics projects fail, and technology is most frequently not the culprit.
By Thomas H. Davenport, Jul 14, 2015
Marketing is becoming increasingly automated, and before long there may be little need for lights in the marketing department. Humans will still oversee these automated efforts, but there will probably be substantially fewer of them.
By Bill Franks, Jul 09, 2015
I spend a lot of time these days talking with companies about the need for a formal approach to enabling what is often called “discovery analytics” or “exploratory analytics.” What I find is that many people have a fundamental misunderstanding of what discovery analytics is all about.
By IIA Faculty, Jun 30, 2015
To recap our work for June 2015, check out the following summary of our publications and activities.
By Gary Cokins, Jun 25, 2015
I will probably exaggerate, but here is my take on the skeptics of analytics. They are likely to be over the age of 50. When they took a statistics course in college, many of them probably just wanted to pass with a “D” or passing grade and get the course behind them.
By Thomas H. Davenport, Jun 24, 2015
I’ve been hearing interesting rumors about a hot new tech services startup—on the East Coast for a change. In fact, it’s in Washington, D.C., and it’s financed by really deep pockets—the U.S. government budget. Your national government may have had some problems with IT in the past—a range of disasters come to mind—but now the US seems to have some of the best IT people in the country.
By Cheryl Wiebe, Jun 16, 2015
I keep hearing manufacturers say they want to make data-driven decisions. They’ve read the news, they see the promise of the new sensor data, social sentiment, and behavioral data of their end consumers. But they are not doing it.
By Thomas H. Davenport, Jun 11, 2015
With the increased importance of information and technology to businesses, many firms have added a variety of new IT-oriented management roles. I’m participating in a research study on Chief Analytics Officers and Chief Data Officers for the International Institute of Analytics, and those roles are increasingly in evidence within large companies.
By Bill Franks, Jun 11, 2015
As the complexity of your analytic ecosystem continues to grow, make sure that your organization is thinking ahead about how to simplify it for users. Personally, I like the Blockly concept and bet that your people will too.