Data Mining, Predictive Modeling, Business Analytics: Training, Consulting&Solutions

DATA MINING: FAILURE TO LAUNCH
How to Get Predictive Modeling Off the Ground and Into Orbit

FREE WEBINAR
Wednesday, July 8, 2009
11AM Eastern / 8AM Pacific
1 Hour Live, Interactive Event

WHAT'S COVERED
The vast majority of BI professionals are excited about the prospects of predictive modeling, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, a recent data mining industry survey of predictive modeling practitioners reports that 51% of data mining projects either never left the ground, did not realize value, or the ultimate results were not measurable.

In most cases, those who attempted an implementation ended up building valid models that were noninterpretable or answered the wrong questions. They essentially placed a perfectly good rocket upside down on the launch pad.

So, how does one approach an intangible, cryptic and seemingly immeasurable technology? Beyond the inherent up-front risks of engaging in what is essentially a discovery process, just identifying a starting point can be intimidating and mystifying.

Despite its elusive nature, data mining has surpassed the flash-in-the pan “miracle tool” stigma with widespread and sustained success stories highlighted frequently in mainstream publications and recurring case studies of improved operational efficiencies, enhanced business intelligence and residual payback.

For any organization with annual revenues more than $50 million, employing data mining technology is not a matter of whether, but when. Attend this free webinar to learn how to get started with data mining and overcome both strategic and tactical limitations that cause data mining projects to fall short of their potential.

WHAT'S DELIVERED
This webinar is intended for stakeholders, functional managers and business practitioners in business, industry, government and academia, 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. The webinar will cover:

How and where to get started
Why failure to implement is so common, and why pitfalls are so avoidable
Case studies that reveal the rewards of proper design and implementation
Why establishing an internal predictive modeling practice is within your reach
Tips, tricks and techniques for data preparation and method selection
Live participant polls and an interactive guru session with the expert
Resources and direction on how to move forward with confidence
And more...

WHO SHOULD ATTEND

IT and IS EXECUTIVES AND MANAGERS: CIOs, CKOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers

LINE-OF-BUSINESS EXECUTIVES AND FUNCTIONAL MANAGERS: Risk Managers, Customer Relationship Managers, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Direct Marketing Analysts, Medical Diagnostic Analysts, eCommerce Company Executives

TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment

CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies

PRESENTERS

THOMAS A. "TONY" RATHBURN, "Data Mining: Level I" Instructor and Senior Consultant at The Modeling Agency is a highly experienced data mining professional with an exceptionally strong track record of innovation and creativity. Tony has worked with commercial and government clients to develop data mining solutions to significant business applications since the mid 1980’s. Tony holds extensive data mining experience in the banking, insurance and financial industries, including seven years teaching MIS and Statistics at both the graduate and undergraduate level while an instructor in the College of Business at Kent State University.

DEAN W. ABBOTT, "Data Mining: Levels II & III" Instructor and Senior Consultant at The Modeling Agency has been applying advanced data mining, preparation, and visualization methods in real-world data intensive problems since 1986. He has deployed predictive modeling solutions for fraud detection, predictive CRM analytics, survey analysis, predictive toxicology, signal process, and missile guidance. In addition, he has developed and evaluated algorithms for use in commercial data mining and pattern recognition products. Dean has consulted with numerous data mining software companies to provide critiques and assessments of their current features and future enhancements.

ERIC A. KING, President and Founder of The Modeling Agency, graduated from the University of Pittsburgh with a bachelor's degree in computer science in 1990, then joined NeuralWare, a neural network tools company, as an account executive. In 1994, he moved to American Heuristics Corporation (AHC): an advanced software technology consulting company specializing in artificial intelligence applications. At AHC, he performed as the director of business development for the commercial services division and the training division. Eric's role in TMA involves business development and project management.

Reserve your space for [ July 8 at 11a ], [ July 28 at 4p ] or [ August 20 at 11a ], Eastern.
View TMA's public training schedule or details on TMA's mentorship program, Wire Support.