predictive analytics

Sledgehammer: Pisano Talks!

My blogging hiatus is coming to an end as I take a sledgehammer to the writer’s block wall.

I’ve traveled far and wide over the last six months to various venues across the country and have collected a number of new and interesting perspectives on the issues of data transformation, integrated project management, and business analytics and visualization. As a result, I have developed some very strong opinions regarding the trends that work and those that don’t regarding these topics and will be sharing these perspectives (with the appropriate supporting documentation per usual) in following posts.

To get things started this post will be relatively brief.

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Rear View Mirror — Correcting a Project Management Fallacy

“The past is never dead. It’s not even past.” —  William Faulkner, Requiem for a Nun

Over the years I and others have briefed project managers on project performance using KPPs, earned value management, schedule analysis, business analytics, and what we now call predictive analytics. Oftentimes, some set of figures will be critiqued as being ineffective or unhelpful; that the analytics “only look in the rear view mirror” and that they “tell me what I already know.”

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