Guidance and results for the data rich, yet information poor.

DATA MINING: FAILURE TO LAUNCH

How to Get Predictive Modeling

Off the Ground and Into Orbit

Free Webinar
Tuesday, May 20, 2014
4PM EDT / 1PM PDT
1 Hour Live Interactive Event


WHAT’S COVERED

The vast majority of BI professionals and big data enthusiasts are excited about the prospects of predictive analytics and data mining, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, an industry survey of predictive modeling practitioners reported that 51% of data mining projects either never left the ground, did not realize value, or the results were not measurable.

Thanks to modern analytic software, most who attempted an implementation did end up building technically accurate predictive models — that answered the wrong questions, were misapplied or never adopted. This is precisely like placing a perfectly good rocket upside down on the launch pad.

So, how does one approach an intangible, cryptic, seemingly immeasurable technology?  Beyond the inherent up-front risks of engaging in what is perceived as a discovery process, just identifying a starting point can be intimidating and mystifying.  Despite its elusive nature, data mining success stories express significant impact in mainstream publications more frequently.  Your competitors are discovering that success in this field does not lead with data and software.

For any organization with annual revenues greater than $50 million, establishing an analytic practice that thrives on validated impact is not a matter of whether, but when.  Data mining and predictive analytics are now in great demand for transforming big data investments into actionable information assets.  It’s imperative that leaders shift their decision-making from gut-feel to data-driven and start advancing their analytic maturity.

Attend this free vendor-neutral webinar to learn how to get started with data mining and overcome limitations that cause most data mining projects to fall short of their potential.


WHAT’S DELIVERED

This webinar is intended for stakeholders, functional managers and analytic 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 & BI LEADERSHIP AND BIG DATA DIRECTORS: 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
    • DATA SCIENTISTS: Who recognize the importance of complementing their tactical proficiency with a strategic planning and design approach to advanced analytics
    • TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment
    • THE ANALYTICALLY CURIOUS: Who desire additional perspectives on the topic
    • 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
Tuesday, May 20, 2014
4PM EDT / 1PM PDT
1 Hour Live Interactive Event

Need More Choices?


Wednesday, June 11, 2014

11AM EDT / 8AM PDT


Thursday, July 31, 2014

4PM EDT / 1PM PDT

Feedback
“This data mining webinar was very informative and well worth the time spent. As an Operations Researcher, Industrial Engineer and Six Sigma Professional, I plan to use this introduction as a starting point for a greater understanding of the Data Mining Profession.”   - Dennis Frankos
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