Predictive Analytics Times
Predictive Analytics Times
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Predictive Analytics

5 Common Mistakes Multi-Channel Retailers Make, and How to Avoid Them

  Multi-channel retailers are often finding themselves stuck in a vicious cycle of failed promotions, inventory distortion, and endless markdowns which result in decreasing gross margins, and lost sales. Yet all these challenges have only a handful of drivers that when properly tweaked can unlock hidden opportunities and revenue. In this article, we will explore

Democratizing Predictive Analytics For Citizen Data Scientists

 In its most recent hype cycle for emerging technologies, Gartner IT +0.31% introduced “citizen data science” and “advanced analytics with self-service delivery.” Both technologies were predicted to reach the “plateau of productivity” in 2 to 5 years...

How Stubby Datasets Can Lead to Predictive Analytics Snafus

 Here’s a question for PATIMES members interested in Big Data and predictive analytics to ponder: “When is bigger data more hazardous?” And, here’s an answer to puzzle over: “When it is wider.” Eric Siegel, executive editor of...

Three Critical Definitions You Need Before Building Your First Predictive Model

 Portions excerpted from Chapter 2 of his book Applied Predictive Analytics (Wiley 2014, http://amzn.com/1118727967) Successful predictive modeling is more than identifying the right algorithms. And, even though 60-90% of our time is spend on data preparation before...

Measurement and Validation: An Often Underrated Aspect within the Predictive Analytics Discipline

 In our Big Data world, software applications and programming tools continue to expand the data scientist’s toolkit in facilitating the process of building predictive analytics solutions. Open-source tools have become much more prevalent in the last few...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Haig Nalbantian at Mercer

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Too Late? Too Soon? Using Predictive Modeling to Gauge the Timing and Consequence of Retirement Choice, we interviewed Haig Nalbantian, Senior Partner, Well-Known Authority on Human Capital Measurement...

Model Your Workforce with Predictive Job Maps

 Over the course of their careers, many employees develop skills and new interests, and move between roles in their organizations. Over time, their movements build pathways between job roles, creating a “map” of what kinds of people...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Patrick Surry of Hopper

 In anticipation of his upcoming keynote conference presentation, Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Dr. Patrick Surry, Chief Data...

What are you Predicting in Customer Retention?

 Customer Retention models are arguably the most valuable models that organizations can develop in improving overall customer profitability. The ability to target high value customers who are most likely to defect or become inactive allows organizations to...

10 Ways To Use Analytics To Supercharge Your Business

 Traditional business intelligence (and data mining) software does a very good job of showing you where you’ve been. By contrast, predictive analytics uses data patterns to make forward-looking predictions that guide you to where you should go...

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