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Tutorial Workshop at BBC: Business Analysis and Architecture with Decision Modeling

November 2, 2015 BBC2015 I am giving a workshop tutorial at BBC 2015 on Business Analysis and Architecture with Decision Modeling Monday November 2, 1:30pm: The proven technique of decision modeling is fast becoming the go-to approach for extending business architectures and system requirements to include business decisions. Modeling business decisions as peers to business processes […]

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 […]

Decision-Led Analytics

Are you looking for a new way to think about and adopt analytic capabilities, from traditional BI like reporting and ad-hoc query to visualization, data discovery and advanced analytics? With the growing focus on using analytics to improve decision-making, it makes sense to select analytic capabilities in a decision-led way. This means considering the decisions you are trying […]

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 […]

IBM #WatsonAnalytics Live Blogging Series

James live blogged from this week’s IBM Watson Analytics event in New York earlier this week. Don’t miss the series posted to www.jtonedm.com. Table of contents for IBM Watson Analytics Cloud IBM Watson Analytics Cloud Announcement KickOff IBM Watson Analytics Cloud Customer Panel IBM Watson Analytics Cloud Business Partner Panel IBM Watson Analytics Cloud – […]

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