Predictive Analytics Times
Predictive Analytics Times
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Predictive Analytics

Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan at Cicero Group

 In anticipation of his upcoming conference presentation, Predicting the Extent and Cost of Online Attacks to Help Sell Security Software, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Lawrence Cowan, Partner at Cicero Group, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or

Wise Practitioner – Predictive Analytics Interview Series: Rebecca Pang at CIBC

 In anticipation of her upcoming conference presentation, Driving the Omnichannel Experience with Predictive Analytics at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Rebecca Pang, Senior Director, Channel Strategy & Analytics at CIBC, a few...

Employee Engagement – a Tricky Metric for Predictive Analytics

 Our work focuses on using predictive analytics to decrease employee turnover or increase employee performance. We work with our customers to define the problem to solve, and then together identify useful data inputs to include in predictive...

The Information Age’s Latest Move: Four Predictive Analytics Developments for 2016

 Originally published in Big Think Prediction is in the cards—it is the Information Age’s latest evolutionary step. Here are four major developments you will experience in 2016 courtesy of predictive analytics: Consumer demand for predictive analytics will...

PayPal fights Fraud with Predictive Data Analysis

 PayPal is using advanced predictive data analysis to help protect its users from fraud and preserve the service’s brand. Constant evolution is the key to PayPal’s success. Scam artists continually find new ways to defraud unsuspecting people,...

Predictive Analytics and the Internet of Things

 As technology continues to empower our ability to conduct analytics with “Big Data”, the “Internet of Things” has arisen as an area where devices themselves capture and transmit data albeit machine-level type data. Let’s discuss some of...

Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, a few questions about his work...

Your Boss May be Spying on You (and you might welcome it)

 Largely unnoticed by their targets, the human resources departments of large corporations are beginning to gather spy-agency-quality intelligence on their current and future employees. The hottest topic in human resources is “predictive analytics,” synthesizing a worker’s traits and...

In Predictive Analytics, Coefficients are Not the Same as Variable Influence, Part II

 In my last post, “Coefficients are not the same as variable influence”, I argued that coefficients in a linear regression model are useful but limited in answering the question, “which variables are most influential in model predictions?”...

Wise Practitioner – Predictive Workforce Analytics Interview Series: John Lee at Equifax Workforce Solutions

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, Using Predictive Analytics to Reduce Unemployment Insurance Costs, we interviewed John Lee, Statistical Consultant at Equifax Workforce Solutions. View the Q-and-A below to see how John Lee has incorporated...

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