Posted By: James Taylor | Posted On: 10th October 2016 |
Experienced analytics or data science teams know that two key challenges for analytics projects are making sure you solve the real business problem (framing the problem) and making sure you can operationalize the result(deployment). In this post I am going to talk about framing the problem and I’ll follow-up with another on deployment.
One of the best ways to think about framing is to consider the questions the analytic team should get answers to before they start building a model:
Posted By: Meri Gruber | Posted On: 17th July 2015 |
The next session of our popular live online training courses in Decision Management and Decision Modeling with DMN are now posted: Introduction to Decision Management August 25-27, 2015 Decision Management allows the effective automation of decision-making combined with increased business agility and greater effectiveness. Decision Management is a proven approach for adopting business rules and predictive […]
Posted By: Meri Gruber | Posted On: 18th March 2015 |
Complimentary Webinar April 2, 2015, 9:00 am PDT, 12:00 pm EDT Register here. One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT and analytics teams. Established analytic approaches such as CRISP-DM stress the importance of […]