Data is your most valuable asset. It represents the entire history of your organization and its interactions with customers. Predictive analytics taps this rich vein of experience, mining it to offer something completely different from standard business reporting and sales forecasting: actionable predictions for each customer. If you predict it, you own it.
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or
In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction.
Conferences and Training Programs:
Predictive Analytics World. The leading business conference for predictive analytics professionals, managers and commercial practitioners.
Predictive Analytics World Conference
Text Analytics World. The business-focused conference for text analytics professionals, managers and commercial practitioners.
Predictive Analytics Training in San Francisco and NYC: This concentrated training seminar covers predictive analytics and data mining for business, marketing and the web.
Online course: Predictive Analytics Applied. On-demand e-learning: predictive analytics case studies, core concepts and guidance.
On-site Training Programs:
Give your personnel a complete understanding of predictive analytics
and data mining, on your premises and at your convenience.
Articles and White Papers:
Predictive Analytics with Data Mining: How It Works
Get a handle on the functional value of predictive analytics for marketing, sales and product direction. DM Review's DM Direct. By Eric Siegel, Ph.D.
Seven Reasons You Need Predictive Analytics Today
Predictive analytics has come of age as a core enterprise practice necessary to sustain competitive advantage. This definitive white paper, produced by Prediction Impact and sponsored by IBM, reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics, namely Compete, Grow, Enforce, Improve, Satisfy, Learn, and Act. By Eric Siegel, Ph.D.
Predictive Analytics Can't Optimize Marketing Decisions Without It
To drive business decisions for maximal impact, analytical models must predict the marketing influence of each decision on customer buying behavior. Uplift modeling provides the means to do this, improving upon conventional response and churn models that introduce significant risk by optimizing for the wrong thing. This shift is fundamental to empirically driven decision making. This convention-altering white paper, sponsored by Pitney Bowes Software, reveals the why and how, and delivers case study results that multiply the ROI of predictive analytics by factors up to 11. By Eric Siegel, Ph.D.
Six Ways to Lower Costs with Predictive Analytics
This article delivers six ways predictive analytics lowers costs without decreasing business, thus transforming your enterprise into a Lean, Mean Analytical Machine. Example brand-name case study results are provided along the way. From BeyeNETWORK. By Eric Siegel, Ph.D.
Predictive Analytics Delivers Value Across Business Applications
This article summarizes the wide range of business applications of predictive analytics, each of which predicts a different type of customer behavior in order to automate operational decisions. A named case study is linked for each of eight pervasive commercial applications of predictive analytics. Originally published on BeyeNETWORK. By Eric Siegel, Ph.D.
Driven with Business Expertise, Analytics Produces Actionable Predictions
Run data mining as a business activity to generate customer predictions that will have a business impact. CRM Magazine's DestinationCRM. By Eric Siegel, Ph.D.
Predictive Analytics' Killer App: Retaining New Customers
Predictively targeted discounts convert new customers who would otherwise never return into loyal customers. DM Review's Extended Edition. By Eric Siegel, Ph.D.
Customer Retention with Predictive Analytics: How Profitable Is It?
This article provides a detailed look at the bottom line results of targeted
retention. By Eric Siegel, Ph.D.
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