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Analytics Transformed™
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A Tactical Drill-Down Of Process, Methods, Tools And Techniques


The Modeling Agency’s “Model Development” course presents a deep dive into the data mining process at a tactical level.  Attendees will observe demonstrations of machine learning methods and computer-guided analytical techniques for extracting and interpreting complex patterns and relationships from large volumes of data.  If you desire an intensive tactical orientation to data mining concepts, tools, techniques and supporting methods, then this event is designed for you.

This vendor-neutral course broadly covers data-driven information discovery techniques and model-building tactics without restriction to any particular modeling tool. Popular open-source and commercial packages are leveraged to illustrate methods, but not to showcase the tools. There are no prerequisites for this course.  However, participants will benefit by reviewing the CRISP-DM guide ahead of the training.

Each course in the series is designed to be taken independently or as a natural progression from tactics to strategy and practice.  View the course series overview page to compare the two primary orientations and target the most fitting agenda for your experience, situation and objectives.


IT PROFESSIONALS: who wish to expand their skills in this increasingly visible area within the corporate IT agenda

PROJECT LEADERS: who must report on developmental progress, resource requirements and system performance

DECISION SUPPORT SYSTEM ARCHITECTS: who require an understanding of the infrastructures required for supporting a data mining solution

BUSINESS ANALYSTS: who must develop and interpret the models, communicate the results and make actionable recommendations

FUNCTIONAL ANALYSTS: Customer Relationship Managers, Risk Analysts, Business Forecasters, Statistical Analysts, Inventory Flow Analysts, Direct Marketing Analysts, Medical Diagnostic Analysts, Market Timers, e-commerce System Architects and Web Data Analysts


  • Vendor-neutral exposure to tools and techniques that will place you months ahead in method planning and product surveying
  • Examine which methods and tools are most effective for your needs
  • Avoid pitfalls in data preparation, modeling, and results interpretation
  • Leave with resources, contacts and actionable plans to substantially increase your analysis capabilities while minimizing dead ends


The rapid emergence of electronic data processing and collection methods has led some to call recent times as the “Information Age.”  However, it may be more accurately termed as “The Age of the Data Glut.”  Most businesses either posses a large database or have access to one.  These databases contain so much data that it becomes very difficult to understand just what that data is telling us.
There is hardly a transaction that does not generate a computer record somewhere.  All this data has meaning with respect to making better prospective business decisions  and anticipating customer needs and preferences.  But how do you discover those needs and preferences in a database that contains gigabits of seemingly incomprehensible numbers and facts?  Data mining and predictive analytics does just that.

The intent of this course is to offer attendees a stronger grasp of data mining techniques, a solid understanding of how various methods and tools apply to different kinds of data intensive problems, and how to overcome limitations that cause predictive models to underperform.


  • The data mining process and general implementation
  • How to prepare raw data and benefit from visualization
  • Various data mining methods and how they compare
  • Advanced model building techniques
  • Results analysis and validation
  • Technology and product selection
  • Solution integration, ongoing performance and maintenance
  • Where to begin and how to obtain resources and support


This course does not restrict or skew the presentation of data mining methods through a single product.  Rather, the course gives consideration to all resources from a vendor-neutral position. The instructor possesses a wealth of pragmatic experience in applying data mining technology across industries in real-world applications.  This course insists upon making predictive analytics constructive and interpretable in a business or organizational setting.

In addition, live modeling demonstrations projected from the presenter’s machine will support the instructional sessions. The demonstrations will highlight superior performance as well as pitfalls. The instructor will show how to evaluate various packages based on strengths, limitations, value and general performance.


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 is knowledgeable, well organized, and interacts extremely well with participants. If you have only two days to learn about data mining, “Model Development” is the class you should attend.”

Yiguang Qiu, PhD
Marketing Department
Amica Insurance

“The wealth of information covered in these courses, as well as the in-depth demonstrations of multiple software packages, made the sessions valuable from a wide range of perspectives.  I will certainly recommend that others attend.”

Brent King
AVP, Managed Care Analytics / Business Development
HealthSmart Preferred Care

“The instructor and course material are first rate. Any organization that believes data mining should be a part of their business operations portfolio would be making a wise investment by attending this course.”

Eric Rickard
Information Computing Sciences
SRI International

“PA & DM: Model Development” gave me a new perspective on techniques and applications software that our federal agency had not previously seen. The course content was great, and the very knowledgeable instructor kept the students attention by using real-life examples and discussion of additional resources. I highly recommend this course!”

Larry P. Taylor
US Department of Education

“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

“I was a bit apprehensive about attending and how I could apply data mining concepts to my particular industry, but Dean put those fears to rest. Highly recommended!  Thanks TMA!”

Lewis Kohnle
Planner / Analyst
The Mitchell Gold Company

“This class gives the Statistician a bunch of new tools to use in solving business problems. Once the limitations of statistics are reached, grab this data mining tool belt.  You will be surprised how much further you can get.”

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