Predictive Analytics Webinar, Data Mining Failure to Launch

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

FREE WEBINAR
Thursday, September 9, 2010
4PM Eastern / 1PM Pacific
1 Hour Live, Interactive Event

WHAT'S COVERED
The vast majority of BI professionals are excited about the prospects of data mining and predictive analytics, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, a recent industry survey of predictive analytics 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 predictive analytics 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 experts
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, is a primary instructor for The Modeling Agency's "Predictive Analytics & Data Mining II: Strategic Implementation" course and a Senior Consultant. Tony has worked with commercial and government clients to develop predictive modeling solutions to challenging data mining applications since the mid 1980’s. Tony holds extensive domain experience in the banking, insurance and financial industries, including seven years teaching graduate-level MIS and Statistics while an instructor in the College of Business at Kent State University. Tony served as Vice President of Applied Technologies for NeuralWare, Inc., a neural network software company. He was also the Research Coordinator for LakeShore Trading, a successful futures and options trading firm on the Chicago Board of Trade.

TIM GRAETTINGER, PhD is a primary instructor for The Modeling Agency's "Predictive Analytics & Data Mining I: Model Development" course and a Senior Consultant. Tim has worked with clients to develop solutions to significant business problems in healthcare, insurance, marketing, and manufacturing. He holds multiple patents for data mining inventions. Previously, Dr. Graettinger was the Director of Analytics and Data Mining at Yankelovich, Inc., where he was responsible for strategic technology consulting and the design and development of premium data mining and web applications. Prior to that, he was Director of Research at the Institute for Software Research. Tim was also a Vice President and Senior Scientist at Analytika, Inc., a healthcare informatics company. Finally, he was VP of Product Development at NeuralWare, a neural network software company.

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 [ Sept 9 at 4p ], [ Sept 28 at 11a ] or [ Oct 27 at 4p ] Eastern.
View TMA's public training schedule or details on TMA's mentorship program, Wire Support.