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Analytics Transformed™
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Opportunity Identification and a Roadmap

for Low-Risk / High-Impact Projects

Classroom: One Day
$995 USD
INFORMS Professional Development Units: 9


TMA’s Modeling Practice Framework™

This fully unique course focuses on the most chronic and critical failing of the vast majority of advanced analytics implementations: project assessment, planning and design. The analytic professionals who apply the strategic principles conveyed within this course will obtain the rare soft skills to advance and stand out in this competitive practice.

This vendor-neutral course is designed to be taken independently, yet is part of a larger course series that covers The Modeling Agency’s Modeling Practice Framework™ for low-risk, high-impact projects. The scope of this course extends to the first two phases: Plan and Assess.

If you are looking for an intensive vendor-neutral strategic orientation to predictive analytics that is critical to overall project success, then this course is for you.


      • IT EXECUTIVES AND BIG DATA DIRECTORS: CIOs, CAOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers who desire to shift their deluge of data from liability to asset
      • LINE-OF-BUSINESS EXECUTIVES AND FUNCTIONAL MANAGERS: Risk Managers, CRM Managers, Public Sector Directors, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Medical Diagnostic Analysts, Fraud and Loss Prevention Managers, 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
      • CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies


      • Plan and manage your predictive modeling projects effectively from the start
      • Identify, qualify and prioritize actionable analytic opportunities
      • Certify data resources and plan for an efficient analytic sandbox
      • Engage with confidence among your developers, analysts and consultants
      • Convey a standardized process development model to implement across your team
      • Develop the rare soft skills required to assess, design and oversee actionable analytics
      • Leave with resources, contacts and plans to substantially reduce your project preparation time, costs and risks


Industry surveys underscore that most advanced analytics projects fail or fall short of their objectives. Project failure is rarely due to poor model development. Most organizations are working on the wrong end of the problem. Instead of preparing a goal-driven plan and tailored project design, they are leading with a technology focus. Most of today’s data scientists are skilled with trees, but lost in the forest.

And it’s not the fault of today’s practitioners. Commercial and academic courseware maintains a focus on analytic methods, software and tactics. They focus on optimizing for technical metrics as opposed to goal-driven performance. Most analytic professionals launch directly into data and software before assessing strategic issues that cause otherwise valid models to die on the vine at implementation time.

Beyond lecture and demonstration, this course will actively lead you through structured and comprehensive analytic project design exercises that you can take home and apply. Those who stay for the full series will reference the completed design as the blueprints for full strategic implementation.


      • Understand the purpose, function and impact of TMA’s Modeling Practice Framework™
      • Outline the general implementation of the first two phases of the Framework: Plan and Assess
      • Define and prioritize primary business objectives and detail the criteria for a successful project results
      • Qualify the downstream organizational and environmental requirements for ultimate model deployment and operation
      • Recognize pitfalls and avoid misleading approaches that cause analytic projects to fall short of their potential
      • Reinforce skills through active participation and a clear implementation roadmap
      • Evaluate this event to qualify subsequent series courses for additional team members to proceed through a common implementation process


The developers of this course have been deeply involved with the design, implementation and deployment of real-world predictive modeling solutions. Well before leading industry conferences started catching on to the importance of strategic design for actionable analytics, the facilitators of this course had been conveying the practice to their clients. These clients have been richly rewarded by recognizing doomed projects in advance and amplifying the impact of successful deployments.

There simply is no other vendor-neutral event in the marketplace that focuses exclusively on analytic project assessment, planning and design – let alone integrating seamlessly into an overarching series for end-to-end process implementation. The design skills conveyed in this event are greatly underrepresented in the analytic field and rightfully becoming highly valued.

It is important to note that this course does not drill into specific algorithms or tactical implementation topics. For a deeper presentation of modeling methods, algorithms and techniques, refer to the Model Development course which directly follows this event. For a comprehensive orientation to the full Modeling Practice Framework™, view the Comprehensive Experience course description.


Registrants will be required to view a four-hour asynchronous “Core Concepts” orientation prior to attending this event. Access details for the Core Concepts orientation will be shared with participants prior to the start of the course. Prior education or experience in data analytics or statistics is helpful, but not required.


What You Will Get in this Presentation

Core Concepts
Terms Used in Today’s Analytics Environment
    • Big Data Analytics
    • Predictive Analytics
    • Data Science
    • Business Intelligence
    • Data Analysis
    • Machine Learning
    • Dashboards
    • Applied Statistics
    • Prescriptive Analytics
    • Predictive Modeling
    • Internet of Things ( IoT )
    • The Current Landscape of Analytics Software
Assess Phase
    • Assemble Team
    • Leadership, Analysts, Subject Experts, Data Support, Stakeholders, etc
    • Determine Whether External Talent is Needed
      • Examine Culture & Mindset
      • List Candidate Projects
    • Place Projects on a Benefits / Challenges Quadrant Plot
    • Exercise Breakout Session
      • Define Performance Benchmarks
      • Identify Data Sources
      • Itemize Existing Analytic Resources
      • Describe Operational Environments
      • Initial Report of Overall Practice Readiness
    • What Should an Assess Phase Report Contain?
    • Exercise Breakout Session
Plan Phase
    • Pull & Recon Data
    • Explore Data & Verify Quality
    • Do We Have Enough Data?
    • Which Data are Relevant?
    • Make a First Look at Data Quality
    • Exercise Breakout Session
      • Design Analytic Sandbox
      • Qualify Team
      • Qualify Tools
      • Define Operational Environment(s)
      • Establish Performance Benchmarks & Targets
    • What are the current metrics (KPIs)?
    • What is the Role of Technical Metrics vs. KPIs?
    • Benchmark Demonstration
      • Consider Deployment Options
      • Prioritize Viable Projects
Wrap-up and Next Steps
    • Supplementary Materials and Resources
    • Conferences and Communities
    • Get Started on a Project!
    • Strategic Oversight and Collaborative Development

The Modeling Agency, LLC, is registered with INFORMS (the INstitute For Operations Research and the Management Sciences) as a Recognized Analytics Continuing Educational Provider for the CAP® (Certified Analytics Professional) program. The CAP® credential provides analytics professionals with a means to distinguish themselves and demonstrate to employers, colleagues, and the public that they are knowledgeable analytics professionals. Courses provided by The Modeling Agency, LLC, are automatically accepted by INFORMS when claimed by credential holders as evidence of continuing education. For more information about the CAP® program, including requirements, eligibility, benefits, preparation, and exam dates, please visit the INFORMS website at

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Events Limited to 20 Seats

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Why Train With TMA?

Determine whether TMA training is right for you, and learn why TMA is truly the best option for live classroom analytics training.

Attendee Comments

“A few months ago, I attended Prediction Impact’s data mining course. It provided a good orientation to predictive analytics. But I wanted to learn how to really apply data mining at the project level. TMA’s course series provided the comprehensive and pragmatic approach I was truly seeking that will allow me to dive confidently and properly into the practice.”

Ernest Ngwa
Aspiring Data Mining Practitioner
Lanham, MD

“When the only complaint is that the course could be longer, I think you’ve got an excellent class! I very much enjoyed the instructor’s use of a real data set to demonstrate principles taught throughout the entire class. The instructor went out of his way both before and during the class to help me to translate the class material to my own work.”

Susan Glass
Senior Engineer,
Biological Technologies Analysis Solutions

“The instructor’s presentation was quite thoughtful and very well organized. I came away with a solid map for the ever changing data mining landscape.”

David Cousins
Divisional Scientist
BBN Technologies

“Statisticians and Analysts alike can benefit from this Data Mining course. It is interesting to view the business objective from the other side of the coin. Exploratory Data Analysis in Data Mining is fun because the causality constraint of classical Statistics is relaxed. Take this course and open up to another way of dealing with large data sets.”

Raymond D. Mooring, PhD
Wage and Investment Research
Internal Revenue Service

“If you want a thorough introduction to predictive analytics at the project level with a wealth of real world experience solving problems, then Tony’s your guy.”

Elies Koudier
Professor of Marketing
Ferris State University

“A great experience. I would recommend this course for anyone interested in Predictive Analytics.”

Maisam Salehi
Analyst, Customer Insights
Giant Food Stores

“This class, by far, is the most interesting, motivating and applicable class I have taken in a very long time. Tony provides a refreshingly different perspective on predictive modeling and approach methodology. Not only would I absolutely recommend this course to any colleague or anyone interested in the practical, yet powerful insights into predictive modeling, but I may look into additional learning and or professional services opportunities. I can’t wait to get back to work and jump right into applying the concepts and learnings.”


“The class was great! I was really impressed with the instructor’s knowledge, experience, and ability. He was able to answer everyone’s questions thoroughly and tailor the class to individual needs. I learned so much about the data mining process, the different methods, and available tools. I highly recommend this course to both technical and non-technical people interested in leading-edge data mining methodologies and the application of current data mining software to marketing, business, and research endeavors.”

Stephen Pearce
Preventive Medicine
Kaiser Permanente

“This course will fully help you understand what is really important for increasing performance from your data by introducing key concepts that are not taught in any business schools.”

Miguel Flores
Operations Research Analyst
Federal Aviation Administration

“This course is extremely helpful and should be attended by any and all new Data Analysts. It outlines the process completely and thoroughly.”

Gagan Sekhon
Data Scientist
Xoom Corporation

“Attending The Modeling Agency’s series was a tremendously rewarding experience, helping me to ‘de-mystify data mining’ and interface with exceptionally intelligent people who live in the data mining world.”

Dr. Joan L. Anderson
Apparel, Merchandising, and Textiles
Washington State University