decision modeling

Why So Many Data Science Projects Fail to Deliver

by James Taylor, CEO, Decision Management Solutions If you are working in data science, you may be frustrated with the progress and ROI of your data science and artificial intelligence projects. The struggle is real, and you’re certainly not alone. Recent research conducted by the Alliance Manchester Business School at the University of Manchester and Ivey […]

Decision-Driven Data Analytics

By James Taylor Bart de Langhe and Stefano Puntoni recently published a great article in the MIT Sloan Management Review called “Leading With Decision-Driven Data Analytics”. In contrast to so much of the literature that focuses first on data, they focus on decision-making. In fact, they go so far as to say that : “Leaders need […]

How to Succeed With AI: Tie It to Business Decisions

by James Taylor, CEO, Decision Management Solutions Artificial intelligence (AI) has the potential to transform businesses, and adoption is on the rise. A 2018 McKinsey global survey shows that 47% of organizations say they have “embedded at least one [AI capability] into their standard business processes, while another 30% report piloting the use of AI.” […]

Beware the 80% Trap: Avoid the “Big Bucket o’ Rules” Approach to BRMS

By James Taylor, Founder and CEO, Decision Management Solutions One of the classic tools for decision automation is a business rules management system, or BRMS. While these systems are powerful and effective when used correctly, many companies fail to apply best practices when using them. Here’s one of our favorite horror stories about a well-intentioned […]

Machine Learning BACKWARDS – A Conversation with Eric Siegel

Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “Predictive Analytics“. You can also check out Eric’s new Coursera class. This […]

Decide to Decide Digitally: New Forrester Research

Mike Gualtieri and Boris Evelson of Forrester recently published a great new paper Introducing AI-Powered, Human-Controlled Digital Decisioning Platforms (subscription or payment required) and you should get access to this paper and read it now. It’s got some great content and recommendations and is well worth your time and money.  It follows on from previous […]

Technology Transformation Antipatterns and how they derail decisioning success

Sven Blumberg, Thomas Delaet, and Kartikeya Swami of McKinsey Digital published a great paper recently – Ten ‘antipatterns’ that are derailing technology transformations. Technology has a crucial role in enabling this faster and more flexible approach. In our experience, however, technology does not get sufficient attention on the executive agenda. This is a serious flaw […]

The Purpose of Analytics is not Reporting or Monitoring but Deciding

Some years ago we did some research on the landscape of analytics capabilities. The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics. One of […]

COVID-19: Drive the future of work (Part 4)

Following up on part 1, part 2, and part 3, McKinsey’s Jump-starting resilient and reimagined operations discussed the impact of COVID-19 on the future of work. We are already seeing radical changes in how people work, especially with remote collaboration and other digital tools. But work is also going to change in more fundamental ways […]

COVID-19: Increase transparency (Part 3)

Following up on part 1 and part 2, McKinsey’s Jump-starting resilient and reimagined operations highlighted how COVID-19 will rapidly increasing expense transparency in organizations. Increasing transparency generally is one of the key benefits of our approach to working with clients – our use of decision modeling and business rules technology often dramatically increases the general […]