Skip to content

Blog Posts by Tom Davenport

I’ve just finished interviewing a large group of chief data (and analytics in most cases) officers for a report I’ll have more to say about in a month or so. But one result really struck me, and it has a…

In a previous post, I described the importance of developing an analytics and AI strategy, and some aspects of the process by which a strategy can be developed. In this post, the focus is on the specific components of the…

Analytics and AI are booming in organizations, but many companies are not yet getting strategic value from their projects and investments. Many projects are not deployed into production. Analytics and AI initiatives may not be targeted at important business problems…

For organizations wishing to move toward a product orientation for analytics and AI offerings, they should check that several key assumptions and prerequisites are in place and confirm that a number of capabilities are present within the organization. If they…

Vendors of software and software-based online services have long employed a product focus with their offerings. They seek to discover what customers want in the products before they build them. They have product managers to oversee the process of product…

Co-written by Jack Phillips.We co-founded the International Institute for Analytics in 2010. Since it’s now 2020, our sophisticated math skills tell us that IIA has been around for about a decade—although our first full year of operation was in 2011.…
Financial asset management firms are often evaluated in terms of their “assets under management.” The leading firms have billions or even trillions of dollars that they are managing. In analytics and AI, few organizations currently approach those numbers of models…
Several years ago I was speaking at an “Analytics Summit” that brought together all—or many in this case—of the analytical practitioners at a big American bank. I take pride in often speaking at the first such gathering a company has,…
It’s still early days for artificial intelligence (AI) in the enterprise, and if you have some responsibility for analytics and/or AI within your company, you may be wondering just how hard you should push for the technology. Dip a toe…