Strategy

Aragon Research introduces a Decision Management Framework

Jim Sinur of Aragon Research just published The Decision Management Framework Delivers Better Decisions (subscription required): This research note defines the Decision Management Framework (DMF) so that business and IT leaders will be more equipped to make beneficial decisions for their organizations. The DMF can be applied to a wide range of business scenarios. It […]

DMN had a great year and looking forward to 2018

Happy New Year! 2017 saw strong growth in decision management and decision modeling with DMN, especially in claims, underwriting, marketing and origination. Customers increasingly are choosing Decision Management to integrate advanced analytics, business rules and AI into their operational systems, and deliver consistent decisions across multiple applications and channels. There were also notable changes in how customers […]

Power Digital Business with Decisions, Business Rules and Predictive Analytics

Digital business provides new revenue and value-creating opportunities, helping organizations to: Improve customer engagement and retention with next best action marketing. Process more claims faster and more accurately. Reduce the cost and difficulty of regulatory compliance. and more. Next Best Action Digitizing, personalizing and improving customer interactions is critical to business growth, customer retention and […]

When Big Data Falls Short, Decision Modeling Bridges the Gap

Looking back over the last decade, it is plain to see that Big Data exploded seemingly out of nowhere. From a strange new term to a household name overnight, Big Data undoubtedly has more to offer in the coming years, but how to extract its many secrets? The Business Intelligence industry as a whole may […]

Analytics – An Overwhelming Shift to Decision Making

It’s clear when you analyze analytic capabilities that there are three main reasons people use analytics: A need to report on some aspect of the organization. A need to monitor the organization’s behavior or performance. A need for the organization to make data-driven decisions. As part of our recently completed research on the analytic capability landscape, we […]

Analytics Capability Landscape Research Report and Infographic

We have just published the Analytics Capability Landscape Research Report and Infographic. This new research report looks at the increasingly broad portfolio of analytic capabilities available to enterprises today asking the real question – what situations need which capabilities, who is the target user for these capabilities, and how can this portfolio of capabilities be […]

Upcoming Webinar: Analytics Maturity Curve or Landscape? Your Questions Answered

November 6, 2014 2 pm ET/11 am PT Register here. What’s the difference between the various analytic capabilities? How do I map available analytic capabilities to my business needs? What’s the right combination of capabilities for me now and in the future? What should I look for in each of these capabilities to make sure […]

Help us with some research on mobile platform capabilities

Sandy Kemsley (of column2.com fame) and I are doing some research into the potential for BPM and Decision Management technology in mobile application development. As part of this research we are gathering information on the use, development and support of mobile applications and we would like your help – we would like you to take our survey: […]

MITSloan Article: Four Traps of Predictive Analytics

Michael Fitzgerald wrote a great piece of the MIT Sloan Management Review this week – The Four Traps of Predictive Analytics. Michael saw me present at an event for Predixion in Boston and then went on to chat with me a couple of times. It’s a great piece, highlighting four critical issues around predictive analytics: The […]

The Economist: Big Data, Little Decisions

There was a fascinating piece in the Economist last week – Little things that mean a lot. This piece really resonated with me – even the title sounds a lot like my mantra of “Big Data, Little Decisions” (you can see a selection of the articles and webinars I have given on this topic here). So what were the critical points Schumpeter made?

First the point that constant experimentation and rapid iteration is critical when trying to get value from all this data. Experimentation is often the skill we tell clients they most need to develop and we regularly stress the importance of putting in place the infrastructure and processes for ongoing decision results analysis. To maximize the value of big data and beco