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.

This article is by Featured Blogger Tom Davenport from his LinkedIn page. It's been 10 years since Jeanne Harris and I published our book, Competing on Analytics, and we've just finished updating it for early-fall (2017) re-publication. We realized during this process that there have been a lot of changes in the world of analytics, although some things have remained the same. The timeless issues of analytical leadership, change management, and culture haven't evolved much in 10 years, and in many cases those remain the toughest problems to address. But analytical data, technology, and the people who use them have changed a lot.