by James Taylor | Jun 6, 2017 | Business Re-Design, Business Rules, Case Studies, Decision Management, Decision Modeling, DecisionsFirst Modeler, DMN
Kaiser Permanente is developing Clinical Decision Support systems using a combination of Decision Modeling, DecisionsFirst Modeler and IBM’s Business Rules Management System ODM. Their experience is that well-designed decision services can replace existing...
by James Taylor | Mar 15, 2017 | Business Rules, Decision Management, Decision Modeling, Platform Technologies Report, Predictive Analytics, Product News
The Decision Management Systems Platform Technologies Report began in early 2012 as a way to share our research and experience in building Decision Management Systems. Since then we have extended, updated and revised the report many times. This week we released the...
by Meri Gruber | Mar 14, 2017 | Business Intelligence, Decision Management, Decision Modeling, Predictive Analytics
Get out of the reporting quagmire, be explicit about decision making with decision modeling and integrate analytics in BI and operational systems. We’re Not There Yet “The activities of analytics teams and the investments made to support them aren’t...
by James Taylor | Feb 1, 2017 | Business Rules, Decision Management, Decision Modeling, Events
Kaiser Permanente is developing clinical decision support (CDS) applications that automate real-time decision services using IBM ODM. Well-designed decision services can replace existing guideline documents in all areas of its business. Guidelines are expensive to...
by James Taylor | Jan 16, 2017 | Big Data, Decision Management, Decision Modeling, DMN, Predictive Analytics
One of my LinkedIn contacts recently pointed to this great little article on HBR – How to Tell If Machine Learning Can Solve Your Business Problem – and it makes some points that show the potential for decision modeling to help you better apply machine...
by James Taylor | Oct 10, 2016 | Decision Management
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...
