decision

New Decision Management MarketScape from IDC

Brian McDonough has been writing (with Dan Vesset, Steve Hendrick, Henry Morris and others) on Decision Management at IDC for many years and he has recently published an IDC MarketScape: Worldwide Decision Management Software Platform 2014 Vendor Assessment. The report has an IDC MarketScape figure, IDC’s opinion on the Decision Management market, process and software as well as some […]

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: […]

Requirements for Enterprise Scale Analytics with R – Part 1

I recently did some research on the requirements for enterprise-scale analytics and the challenges of using open source R in this context. In this first post I wanted to outline some of the requirements I see for enterprise scale analytics and in a second post I will discuss the challenges of R in that context. As advanced […]

White Paper of the Week: The Case for Centralized Customer Decisioning

This week’s white paper is an oldie but goodie – The Case for Centralized Customer Decisioning An Imperative for Every Channel, Every Interaction Marketing understands customers better than any other single group, and should own customer treatment decisions.As marketers strive for a genuine dialogue with their customers, an interactive and personalized experience that builds brand and […]

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 […]

Some thoughts on KDNuggets’ top trends ahead of Strata Hadoop NYC

Gregory over at KDNuggets had an interesting post with some Top Analytics and Big Data trends ahead of Strata Hadoop NYC Conference based on input from their readers. Three trends struck me: The challenge of communicating complex analyses to non-technical clients/partners We are having increasing success using logical decision models to show how data and analytics drive better […]

Interview on Ugly Research – Interview Wednesday: James Taylor on decision management, analytics, and evidence.

Interview Wednesday: James Taylor on decision management, analytics, and evidence. Tracy Altman (@EvidenceSoup), who I interviewed here, interviewed me for her blog recently. We talked decisions, decision management and analytics. You can find the interview on theEvidence Soup blog here. Enjoy.

Decision Management and a business perspective on Big Data

Check out this article – Business leaders need Rs not Vs: The 5 Rs of Big Data. I met Merritt,the author, at the TDWI Solution Summit on Advanced Analytics this spring. In the post, and in his subsequent work, he makes some great points. I really like his 5Rs and think they illustrate the power of […]

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

Ugly Research: Data is easy, Deciding is hard

Tracy Allison Altman over at Ugly Research has a great new  white paper – Data is easy: Deciding is hard – in which she quotes me (thanks Tracy). It’s a great paper and makes what I think is the critical point – that you don’t need a data culture but a decision culture. And I would add that you need this at every level – strategic, tactical and operational. The paper has some great advice and I would add a couple of additional thoughts:

For decisions you make often – some tactical and all operational decisions for instance – build a decision model so you know how you think you are going to/should make the decision moving forward. Here at Decision Management Solutions we use the new Decision Model and Notation (DMN) Standard and our modeling