Blog Posts: Demand Management
Profit and Loss (P&L) statements permeate businesses due to the need to track how a business is performing at overall, business unit, and even project-by-project levels. This blog raises…
Machine learning is a great way to extract maximum predictive or categorization value from a large volume of structured data. The idea (at least for “supervised learning,” by far the…
Certainly, it is important to have analytics available in the timeframe needed for making decisions. For many years, it was too difficult and expensive to execute analytics anywhere near…
Analytics and big data have penetrated most large organizations by now, and are helping to improve many internal decisions. But they can also have a major impact on the decisions…
The first week of March Madness is complete. 68 teams have been whittled down to 16 and the potential winners of many office pools have already been decided. It…
It used to be that a doctor was a doctor for the most part. Even a century ago, unless you lived in a large city, people likely had a town…
Last month, I wrote about why simply making predictions isn’t enough to drive value with analytics. I made the case that behind stories of failed analytic initiatives, there is often…
In recent times, I have read a number of articles lamenting the frequent lack of value resulting from large scale analytics and data science initiatives. While I have seen substantial…
Recently on this site, one of us wrote about the new product development analytics used by Netflix. In a nutshell, the company classified the key attributes of past and current…