Decision Management Solution Blog
IBM InterConnect presentation: Pioneering Clinical Decision Services with Decision Modeling at Kaiser Permanente
Kaiser Permanente is developing clinical decision support (CDS) applications that automate real-time decision services using IBM ODM. Well-designed decision services can replace existing guideline documents in all areas of its business. Guidelines are expensive to develop as they involve significant investment from SMEs. Even good guidelines are of limited use for real-time decision-making, especially if […]
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 […]
Decision Modeling Brings Clarity to Analytics – New Podcast
The biggest challenge facing organizations adopting analytics is closing the gap between business value and analytics results. This is becoming increasingly serious as more organizations make investments in data mining, predictive analytics, data science, machine learning and all forms of analytics. Ensuring that these investments in analytics and analytic technology show a return means understanding how […]
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:
New Book: Real-World Decision Modeling with DMN now available!
I am delighted to announce that Jan Purchase, founder of Lux Magi, and I have finished what we believe is the definitive guide to decision modeling with the Object Management Group’s Decision Model and Notation (DMN) standard, Real-World Decision Modeling with DMN. The book is now on general release and available for purchase from Amazon and Barnes and Noble (full details on the Meghan Kiffer site).
BBC 2016: Building a Modern Business Architecture
At the recent Building Business Capability 2016 conference, Gagan Saxena, our VP of Consulting, and Andrew Ray of Goldman Sachs presented on building a modern business architecture – one that connects design (business at rest) to operations (business in motion). A perfect architecture would provide an organizing framework that synchronizes:
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