Predictive Analytics Times
Predictive Analytics Times
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On Variable Importance in Logistic Regression

 The model looks good. It’s parsimonious, provides effective segmentation, and the predictors appear to be intuitively reasonable. While there is no problem with deploying results, you need to be able to order the variables in terms of their importance, a seemingly straightforward task. However, this is not as easy to do, as it appears. It’s

Data-Driven Decisions for Law Enforcement in Toronto

 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Government, Sept 17-21, 2018 in Washington, DC. Data-driven decisions for law enforcement are not new and have been used...

AI, Machine Learning, and the Basics of Predictive Analytics for Process Management

 APQC Chair Carla O’Dell interviews Predictive Analytics Times Executive Editor and Predictive Analytics World Founder Eric Siegel about predictive analytics and machine learning’s application to process management. Dr. Siegel will be speaking at APQC’s Process & Performance...

Data Reliability and Analytic Validity for Non-Dummies

 There is not much attention paid these days to data reliability and validity (DR&V). Many data-scientific practitioners, especially those in Computer Science-IT Data Science (CS-IT Data Science),  don’t get what the terms mean, especially for DR&AV work...

Overview of Mega-PAW Vegas 2018: Summary of Keynotes and More

  As both a speaker and a representative of the IIA, I attended the Predictive Analytics World (PAW) show in Las Vegas, June 5-6, 2018. The organizers stated that they had approximately 600 people registered – and...

Analytics Assessment: A Blueprint for Effective Analytics Programs

  If you are like me, when you first heard of analytics and its ability to benefit businesses, non-profits, and government agencies, you felt invigorated and excited, having to hold back the urge to shout “Charge!”  As...

Prediction in the Public Sector: Why the Government Needs Predictive Analytics

 Originally published by Analytics Magazine This article is excerpted from Eric Siegel’s Foreword to the recently released book, “Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence,” edited by Feras A. Batarseh and Ruixin Yang....

Analytics in the Brave New Customer Experience World

 Mobile marketing technology offers opportunities to enhance the customer experience. The marketing world is awash in acronyms and terms that reflect the technological changes practitioners are facing today. One common acronym—CRM, or customer relationship management—revolves around the...

Wise Practitioner – Predictive Analytics Interview Series: Tauseef Rahman at Mercer

 In anticipation of his upcoming conference presentation, What Millennial Employees Actually Value:  Lessons from Predictive Modeling, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Tauseef Rahman, Principal, Workforce Strategy & Analytics at...

Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We...

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