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Analytics Transformed™
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How to Get Analytic Modeling

Off the Ground and Into Orbit

Free Webinar
Thursday, December 6, 2018
11am EST / 8am PST
90-Minute Live Interactive Event


The vast majority of data scientists and AI enthusiasts are excited about the prospects of predictive analytics and machine learning, 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 advances in software automation and self-service analytics, most who attempted an implementation did end up building technically accurate predictive models. But most times, those models 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, predictive analytics success stories convey significant impact in mainstream publications more frequently. Organizations are discovering that success with machine learning and data mining does not lead with data, software, and algorithms.

For any organization with annual revenues or operating budgets greater than $50 million, establishing an analytic practice that thrives on validated impact is not a matter of whether, but when. Predictive analytics and machine learning are now in great demand for transforming AI 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 capability to accelerate their overall digital transformation.

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


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…


    • LEADERSHIP: CAOs, 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 in AI, machine learning and digital transformation
    • 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


  KEITH McCORMICK has leveraged statistical and machine learning methods as well as holding deep expertise using popular commercial and open source solutions involving big data, structured data, and text analytics since the early 1990s. As a senior consultant with The Modeling Agency, LLC, McCormick guides organizations to advance their analytic capability across industries, to include public sector, media, marketing, healthcare, retrial, finance, manufacturing, and higher education. He is a highly accomplished professional mentor and trainer, having served as keynote speaker and moderator at international conferences focused on practitioners and leadership alike. He possesses a unique blend of tactical and strategic skills along with the business acumen to ensure superior project design, oversight, and outcomes that align with organizational targets.
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
Thursday, December 6, 2018
11am EST / 8am PST
90-Minute Live Interactive Event

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Tuesday, February 19, 2019
11am EST / 8am PST
90-Minute Live Interactive Event

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11am EDT / 8am PDT
90-Minute Live Interactive Event

“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
Quality Deployment Leader,
Certified Lean Six Sigma Master Black Belt
Energy Resources Industry

“I thoroughly enjoyed this webinar. You guys come across as seasoned pros with a style that is directive but attractively disarming. Very nice job!”

Bradley Novic
Section Head & Senior Technical Specialist, Applied Statistics
Alcoa Technical Center

“Usually my experience with introductory webinars has been a lot of talk, nuanced marketing and fluff and nothing of much substance to take away. TMA was just the opposite. It was a great use of time, well spent. I appreciate the great examples and specific best practices shared in the meeting. It was a very informative session. My compliments to the presenters.”

Predictive Analytics Principal
Biopharmaceutical Company
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