decisionsfirst

DecisionsFirst Analytics in Forbes

Joe Decosmo, CAO of Enova Decisions and someone we know from our work at the International Institute for Analytics wrote a nice piece in Forbes today – Why You Should Take A Decision-First Approach To Analytics. Joe makes some great points in his post and leads off with a shout out to the Decision Management Manifesto. Like […]

Don’t bite off more AI than you can trust

Many, most, companies are actively considering using AI in their business, but few are making much progress. Some of this is due to a poorly defined approach. Some is due to confusion as to what AI means – mixing conversational AI (a user experience technology) with decision-making AI (an extension of predictive analytics and machine […]

Global Big Data Conference: Don’t Apply Big Data Analytics To The Wrong Problem: Put Decisions First

I am speaking at the Global Big Data Conference in Santa Clara, CA in March on Don’t Apply Big Data Analytics To The Wrong Problem: Put Decisions First One of the biggest challenges for analytics Teams is effective communication with their business partners. Too many projects fail to connect problems in the business environment to […]

Live Event: A New Approach to Defining BI Requirements

July 2, 2015, 6:30 pm Microsoft Campus, Mountain View, CA I am speaking on A New Approach to Defining BI Requirements at the Bay Area Microsoft BI User Group on July 2nd I will introduce the core concepts of DMN and show how it can be used to drive more effective requirements for BI, dashboard, and analytic projects.  You’ll […]

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 […]

Framing Requirements for Predictive Analytics Projects with Decision Modeling

A big focus area right now for organizations looking to adopt or expand operational predictive analytics is using decision requirements models to frame requirements for their 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 […]

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 […]

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 […]