analytics

The Value of Predictive Analytics and Decision Modeling – Webinar Presentation and Recording

The presentation and recording from our recent webinar, The Value of Predictive Analytics and Decision Modeling, are now available. Successful predictive analytic projects follow a well-defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that improve business performance. In this live webinar recording, James Taylor, CEO and Principal Consultant […]

New White Paper – Next Generation Claims System

Our popular white paper, Next Generation Claims Systems with Decision Management, has been updated for 2015. Decision Management delivers next generation claims systems that act immediately, increase agility, consistency and accuracy, improve customer satisfaction, speed response and reduce costs. Insurers can achieve significant speed-to-market gains, reduce fraud and create innovative new claims processes. Today’s insurance […]

New White Paper – Framing Analytic Requirements

The value proposition of predictive analytics is almost always to improve decision-making. Being explicit about the decision-making to be improved is an effective tool for framing analytic requirements. Download our new white paper, Framing Analytic Requirements, to how learn to achieve analytical, data-driven decisions with decision modeling and the Decision Model and Notation (DMN) standard. […]

The Value of Predictive Analytics and How Using Decision Modeling Helps You Succeed

May 27, 2015 10:00 am PDT, 1:00 pm EDT Register here. Successful predictive analytic projects follow a well-defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that improve business performance. In this live webinar, James Taylor, CEO and Principal Consultant at Decision Management Solutions and Matt Kitching, Senior […]

A New Approach to Defining BI Requirements – PASS Business Analytics 2015

I am speaking at PASS Business Analytics 2015, April 20-22 in Santa Clara CA, on A New Approach to Defining BI Requirements: Most organizations lack an approach that lets them specify their requirements for BI or for analytics more broadly. Their ability to find opportunities for, and successfully use, more advanced analytics is limited. In […]

Predictive Analytics World: Decision Modeling for Predictive Analytic Projects

Steve Knode of the University of Maryland University College (UMUC) and I will be talking about how you can use Decision Modeling to specify requirements for predictive analytic projects at 2:40pm on March 31, 2015 Establishing a shared understanding of the business problem across business, IT and analytics teams is critical for successful predictive analytics projects. Recently […]

Presentation and Webcast: Decision Modeling for Decision-Led Analytics

If you missed last week’s webinar, Decision Modeling for Decision-Led Analytics, the presentation and webcast are now available. The webinar covered how to get started quickly with decision modeling for success with selecting and adopting analytic capabilities for your organization. Organizations today are turning to analytic capabilities to drive decision-making. But with the different types […]

Decisions, Decision Management and an architecture for digital transformation

Ray Wang of Constellation Research published a report early this year “The Elements of Business Architecture for Digital Transformation.” In the report Ray identifies some interesting boardroom priorities (this is just some of them): Consistent Customer Experience Mass automation Insights-driven business models Cost-effective regulatory compliance All of these are reasons given by our clients as […]

Using Decision Modeling to make Predictive Analytics more pervasive

  Back in May of last year, Wayne Eckerson published “Making Predictive Analytics Pervasive“. It’s a great report with some really useful data but one of the key headline result is that implementation rates are not rising – in fact fewer organizations are reporting successful implementation of predictive analytics (from 21% to 18%). This despite […]

How to frame requirements for predictive analytic projects with decision modeing

One of my big focus areas right now is using decision requirements models to frame predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I am excited by the potential. I recently wrote an […]