Ten years ago, Jeanne Harris and I published the book Competing on Analytics, and we’ve just finished updating it for publication in September. One major reason for the update is that analytical technology has changed dramatically over the last decade; the sections we wrote on those topics have become woefully out of date. So revising our book offered us a chance to take stock of 10 years of change in analytics.
How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same)
What I learned revising my book on data and strategy.
June 22, 2017
Summary.
Ten years ago, Jeanne Harris and I published the book Competing on Analytics, and we’ve just finished updating it for publication in September. Revising our book offered a chance to take stock of ten years of change in analytics. These include advances in hardware, efforts to incorporate unstructured data, an increased reliance on open source software, and the increased use of autonomous analytics, or artificial intelligence. The change in analytics technologies has been rapid and broad. There’s no doubt that the current array of analytical technologies is more powerful and less expensive than the previous generation. In short, all analytical boats have risen.
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New!
HBR Learning
Digital Intelligence Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Excel in a world that's being continually transformed by technology.