Predictive Analytics Times
Predictive Analytics Times
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It is a Mistake to…. Answer Every Inquiry

 (Part 9 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) I’m tempted to start with a kind of query that experience teaches some of us not to answer, like “Does this data make me look fat?” But that actually misleads about the point

Wise Practitioner – Predictive Analytics Interview Series: Dominic Fortin of TD Insurance

 In anticipation of his upcoming conference presentation, A Success Story: Sales and Revenue Forecasting through Predictive Analytics, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Dominic Fortin of TD Insurance a few questions...

5 Ways Retail Predictive Analytics helps Fashion Retailers Maximize Gross Margin

 Fashion retailers have one of the most dynamic environments in the industry. There are new styles and products coming out every single season, forcing retailers to clear those shelves for new merchandise nearly every quarter. Moreover a...

Wise Practitioner – Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics

 In anticipation of his upcoming conference presentation, A Transaction-Based Approach to Understand Sales Representative Growth, Performance, and Gaming, at Predictive Analytics World for Workforce, we interviewed Pasha Roberts, Co-Founder and Chief Scientist at Talent Analytics Corporation. View the...

Predictive Modeling Skills: Expect to be Surprised

 Excerpted from Chapter 1 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014 Conventional wisdom says that predictive modelers need to have an academic background in statistics, mathematics, computer science, or engineering. A degree in one of...

Big Data: To Analyze or Not to Analyze

 Much has been written about Big Data and how it changes all facets of our lives. But the important and more relevant perspective is the ability to act on the information in real-time. However, this has nothing...

Wise Practitioner – Predictive Analytics Interview Series: Bryan Guenther of RightShip

 In anticipation of his upcoming conference presentation, The Impact of Predictive Analytics on Maritime Safety and Efficiency, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Bryan Guenther, Qi Program Manager at RightShip, a...

Wise Practitioner – Predictive Analytics Interview Series: Aaron Lanzen of Cisco

 In anticipation of his upcoming conference presentation, Integrating Predictive Models within a Rules Engine for Resource Allocation, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Aaron Lanzen, Solutions Architect – Business Rules &...

Wise Practitioner – Predictive Analytics Interview Series: David Schey of Digitas

 In anticipation of his upcoming conference presentation, Uplift Modeling Versus Traditional Response Modeling – Which One is Right for You?, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked David Schey, Senior Director, Analytic...

It is a Mistake to…. Extrapolate

 (Part 8 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Modeling “connects the dots” between known cases to build up a plausible estimate of what...

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