data

Building the Modern Business Architecture, Decision by Decision

How your organization makes decisions drives the rest of the business environment – processes, events, data and the org-chart. A decision-centric view of a Modern Business Architecture is an essential organizing principle to deal with the data-driven, today’s knowledge-based economy. First, clarify the “modern” view on Business Architecture There is no generally accepted definition or […]

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 […]

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 […]

BigML Update 2015

I last got an update from BigML back in 2013 when they updated us on their predictive analytics/machine learning platform. Since then they have been adding new algorithms, especially in unsupervised machine learning techniques, and generally updating the interface and workflow. With about 15,000 registered users Big ML is moving into enterprise customers more and […]

Challenges Scaling Open Source R – Part 2

I recently did some research on the requirements for enterprise-scale analytics and the challenges of using open source R in this context. In my first post (Requirements for Enterprise Scale Analytics with R – Part 1) I outline some of the requirements I see for enterprise scale analytics. In this second post I will discuss the challenges of R […]

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 […]

First Look Progress Corticon 5.4 Update

It’s been a while since I had an update on Progress Corticon – the last time was an update for v5.2 back in 2012. Progress Corticon is a mainstream Business Rules Management System with the usual Corticon Studio, Corticon Server and Corticon Enterprise Data Connector. In addition there is the Corticon BRMS for OpenEdge, linking Corticon […]

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

First Look: Angoss ScorecardBUILDER 9.0

Angoss recently released an end to end scorecard building tool –ScorecardBUILDER – based on the same underlying workflow capabilities released in Angoss KnowledgeSEEKER 9.0 (reviewed here). This product is designed to automate or otherwise streamline time consuming manual steps in the process of building a predictive scorecard.

As noted, ScorecardBUILDER is based on the new workflow-centric look and feel Angoss has recently released. This is extended in a number of ways for the ScorecardBUILDER tool:

  • There’s a helper for adding optimal binning and weight of evidence for a dataset. Each variable can then be assessed, visualized and optimized so that it is monotonic – trending in a single direction – and predictive. This helper creates the variables using a Weight of Evidence transformation.
  • A new logistic regression node is added for use in the workflow. This buil

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