Live Webinar – February 14th 2012, 12:00-1:00 PM EST
Offered by ASPE (REP 2161) 1 Category A PDU – Free PDU
This is a 1 hour seminar and attendees will be awarded 1 PDU for participating

Organizations are increasingly finding themselves overwhelmed with data, yet starved for actionable information. As such, organizations are migrating quickly to the utilization of business intelligence (BI) and advanced analytics.

One of the fastest growing areas within BI — Predictive Analytics & Data Mining (PADM) — provides substantial returns when implemented properly, as demonstrated in a wealth of case studies. PADM is being explored within these organizations as a way to improve their decision making processes, thereby increasing efficiency and minimizing risk.

Yet, the vast majority of practitioners who attempt PADM implementations approach the discovery process like any other IT project. When their projects fail or fall short, they prematurely dismiss the practice and delay the tremendous gains they could otherwise reap with PADM.

This web seminar is intended for stakeholders, functional managers and business practitioners in business, industry, and government, who have made substantial investments in data collection, storage, retrieval, visualization and basic analysis but may not have the technical or strategic experience necessary to chart an effective roadmap to uncover the valuable predictive insights hidden within their existing data.

No prior knowledge is required.

Presenter: Tony Rathburn (LinkedIn profile) is a Senior Consultant with a predictive modeling and data mining consulting firm offering guidance and results for those who are data-rich, yet information-poor. Tony’s expertise is focused on the design and development of business models of human behavior. Tony has extensive experience in the financial sector, banking, energy, telecommunication and has extensive functional area perspective in development of models for trading, pricing, CRM, B2B, B2C, fraud detection, risk management and attrition/retention.

Click to register for Predictive Analytics & Data Mining: What Really Works and How to Get Started