Data Mining: Failure to Launch

How to Get Predictive Modeling

Off the Ground and Into Orbit

Free Webinar
Wednesday, June 12, 2013
11AM EDT / 8AM PDT
1 Hour Live Interactive Event

WHAT’S COVERED

The vast majority of Big Data enthusiasts and 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: 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.
	SCOTT TERRY is a multi-talented industry veteran with 30 years of experience on both the client and services side of data mining, predictive analytics and database marketing. Scott’s senior leadership experience includes serving as Vice President of Marketing for Home Shopping Network where he led its teams of data miners and researchers. He also served as Leader of Corporate Marketing for Acxiom, Inc, and Senior Director of Business Intelligence for Hyphos360 (now part of AccuData). Scott was an early pioneer of the database marketing industry while serving as the Senior Corporate Statistician with Holiday Inns, Inc. Having also received an honors degree and scholarships in the Arts, Scott has earned the reputation as a gifted quantitative strategist with intuitively creative and prescriptive problem-solving abilities.
	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.

Free Webinar
Wednesday, June 12, 2013
11AM EDT / 8AM PDT
1 Hour Live Interactive Event