Data Mining

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 Deploy

As I discussed in my earlier post, 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 second post I am going to talk about deployment.

How to Succeed with Advanced Analytics at Scale

The webinar has taken place. You can view the recording here. Leading organizations today are looking to scale their advanced analytics capabilities, especially data mining and predictive analytics, to improve business performance, reduce fraud and improve customer responsiveness. However traditional analytic project approaches are hard to scale and difficult to implement in the real-time environment […]

Version 7 of The Decision Management Systems Platform Technologies Report

We’ve posted Version 7 of our popular Decision Management Systems Platform Technologies Report with new content on The Analytics Capability Landscape. We also welcome new vendors Blue Yonder and Erudine to the platform vendor index. Overview Organizations are adopting a new class of operational systems called Decision Management Systems to meet the demands of consumers, regulators and […]

The Value of Predictive Analytics and Decision Modeling – Webinar Presentation and Recording

The presentation and recording from our recent webinar, The Value of Predictive Analytics and Decision Modeling, are now available. Successful predictive analytic projects follow a well-defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that improve business performance. In this live webinar recording, James Taylor, CEO and Principal Consultant […]

Live Event: A New Approach to Defining BI Requirements

July 2, 2015, 6:30 pm Microsoft Campus, Mountain View, CA I am speaking on A New Approach to Defining BI Requirements at the Bay Area Microsoft BI User Group on July 2nd I will introduce the core concepts of DMN and show how it can be used to drive more effective requirements for BI, dashboard, and analytic projects.  You’ll […]

Upcoming Webinar: Advanced Analytics for the Business Professional

May 28, 2015 10:00 am PDT, 1:00 pm EDT Register Here. Advanced Analytics is not just for data scientists anymore. Many businesses adopt their analytics by degree of complexity, limiting business professionals to reporting and dashboard views of their business. But recent research has found that with modern tools and techniques it is of much […]

New White Paper – Framing Analytic Requirements

The value proposition of predictive analytics is almost always to improve decision-making. Being explicit about the decision-making to be improved is an effective tool for framing analytic requirements. Download our new white paper, Framing Analytic Requirements, to how learn to achieve analytical, data-driven decisions with decision modeling and the Decision Model and Notation (DMN) standard. […]

Case Study UMUC – Decision Modeling for Predictive Analytic Projects – Predictive Analytics World SF 2015

Professor Steve Knode of the University of Maryland University College (UMUC) and I presented a case study at Predictive Analytics World in San Francisco on “Decision Modeling for Predictive Analytic Projects”.  The presentation is now available on slideshare: Case Study UMUC – Decision Modeling for Predictive Analytic Projects – Predictive Analytics World SF 2015 from Decision […]