Decision Modeling

Analytics Teams: Before You Deploy

As I discussed in my earlier post, 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 second post I am going to talk about deployment.

BBC 2016: Pioneering Decision Services with Decision Modeling at Kaiser Permanente

Learn how decision modeling with DMN is central to Kaiser Permante’s effort to ensure decisions are based on current best practices and increasingly made in real time in this BBC 2016 presentation by David Herring, Manager of BPM & ODM Delivery, Office of the CTO, Kaiser Permanente and James Taylor, CEO Decision Management Solutions, Pioneering Decision Services with Decision Modeling at Kaiser Permanente.

BBC 2016: Beyond Textbooks: Building the Modern Business Architecture

Learn how a modern business architecture was developed to leverage new technologies and align organizational change projects in this BBC 2016 presentation by Andrew Ray, VP Business Architecture & Change Management, Goldman Sachs & Co. and Gagan Saxena, VP & Principal Consultant, Decision Management Solutions, Beyond Textbooks: Building the Modern Business Architecture

BBC 2016: Decision Modeling with DMN Tutorial

Graphical decision models based on the Decision Model and Notation (DMN) standard are easy to create and easy to communicate. The business focused decision structure provides needed clarity and facilitates collaboration and conflict resolution across business, IT and analytics teams. Flexible enough to keep up with today’s rapidly changing requirements, decision modeling helps stakeholders focus on the real needs of their organization.

How To Fix The Broken Links In The Analytics Value Chain

Here we see the classic challenge of analytics – 70% think it is very or extremely important but only 2% say their analytics efforts have a broad, positive impact. And like every other assessment of this problem, including ones we have conducted here at Decision Management Solutions, the problem is not in the data or in the analytics themselves! The problems are in framing the problem and operationalizing the results. Everyone seems to have the analytic technology they need but they just aren’t getting it to work for them.