analytics

DecisionCamp 2017 Recap: DMN and Analytics

I was pleased to be able to both attend and present at DecisionCamp 2017 in London on refinements to DMN and decision modeling for analytics. I want to thank my fellow members of the organizing committee and I would like to recognize the efforts of the conference Chair, Dr. Jacob Feldman, for making this important […]

Focus Data Projects on Improving Decisions

Focus Data Projects on Improving Decisions

Many organizations today are investing heavily in data projects to improve data-driven decision making. But paradoxically most of these projects don’t consider decisions explicitly.  Data projects usually begin with data capture before understanding what data will be useful, for what action and for what benefit.  Without understanding the decision making that will improve business performance and […]

Harness Data-Driven Decisions with Decision Management

Get out of the reporting quagmire, be explicit about decision making with decision modeling and integrate analytics in BI and operational systems. We’re Not There Yet “The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire.” International Institute for Analytics, February 2017 “If analytics does […]

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 […]

Great New Case Study – Bringing Clarity to Data Science and Analytic Projects

We have been helping several organizations improve their analytic and data science projects. Like many users of analytics, these organizations find that their analytic teams often lack a clear understanding of the business problem, resulting in projects that lose their way or produce analytic  models that don’t get operationalized, deployed or used. We have helped […]

Predictive Analytics World 2017: The Role of Decision Modeling in Creating Data Science Excellence

Join me and Tina Owenmark of Cisco when we speak on The Role of Decision Modeling in Creating Data Science Excellence at Predictive Analytics World in San Francisco. Cisco’s Data Science Office focuses not just on data science, but also on shaping the questions and answers for Cisco’s operational groups. They focus not on technology or […]

Can Machine Learning Solve Your Business Problem?

One of my LinkedIn contacts recently pointed to this great little article on HBR – How to Tell If Machine Learning Can Solve Your Business Problem – and it makes some points that show the potential for decision modeling to help you better apply machine learning and other analytic techniques. The author begins by pointing out that automation is […]

Some Analytic and Data Science Predictions 

“Making predictions is hard, especially about the future” is a well known witticism. When it comes to making predictions about how companies will make predictions, it can be even harder to know what to say. Nevertheless, the folks over at KDnuggets recently asked some of the leading experts in Data Science and Predictive Analytics for some thoughts on developments in 2016 and trends for 2017. I was one of those that participated and you can see the article here – Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017. Several key themes emerged from the various expert responses:

Analytics Teams: Before You Model

Experienced analytics or data science teams know that two key challenges for analytics projects are making sure you solve the real business problem (framing the problem) and making sure you can operationalize the result(deployment).  In this post I am going to talk about framing the problem and I’ll follow-up with another on deployment.

One of the best ways to think about framing is to consider the questions the analytic team should get answers to before they start building a model:

Real world examples of how modeling decisions with DMN has helped – a video

The sixth and final in the series of short videos about Decision Modeling is focused on some real-world examples of the value of decision modeling. Jan Purchase and I developed these videos while working on a new book – Available now! – Real-World Decision Modeling with DMN:

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