Training program: In October 2007, 59% of participants rated the training program "Excellent" (the highest of 5 ratings), 41% rated it "Very good" (the second-highest rating), and none gave it the lower three ratings.

Instructor: In October 2007, 73% of participants rated the instructor "Excellent" (the highest of 5 ratings), 23% rated him "Very good" (the second-highest rating), 1 participant rated him "Satisfactory" and none gave him the lower two ratings.

"An excellent overview on how to start using predictive analytics in any organization! In just two weeks I already have buy-in from upper management to explore ways to use predictive analytics to improve up-sells, cross sells and to determine what lifestyle imagery to display to our users. I'm super excited about these projects."

Jennifer Boland
Onsite Marketing Analyst
Sierra Trading Post

"At Intuit we're already using data as an asset on the web, but this course makes it very concrete how we can take it to the next level."

Jared Waxman
Web Analytics Leader
Intuit

"I was very inspired by this seminar and what predictive analytics can do to improve many functions at a company."

Andreas Pettersson
Web Analyst
SAS Scandinavian Airlines e-Commerce

"Very effective and well-paced overview of predictive modeling. Dr. Siegel's style is highly engaging, especially for a topic that is in some ways so technical."

Christopher N. Green
Senior Market Research Analyst
Raritan, Inc.

"The best part of this training program is the clear correlation to practical applications in everyday business."

Reto Matter
Vice President Business Intelligence
PlanetOut Inc.

"Eric is an A+++ instructor with a great sense of humor."

Ali Maleki
Project Manager
Computer Tech. Consultants

"A very insightful and interesting seminar. I plan to put data mining and predictive analytics to work for us right away thanks to your ability to make this an approachable subject."

Rob Ford
Director Pricing
Getty Images

"Making predictive analytics clear, simple and even entertaining is a tall order, but this seminar does just that! There's a mammoth load of material here, presented in understandable, actionable terms."

Whitney Sales
Senior Account Manager, Business Solutions
LoopNet, Inc.

"This seminar provides a strong foundation to drive revenue from data by mining new opportunities."

Angel Morales
Director, Retail Strategies
ExactTarget

"Eric reveals a roadmap to the use of predictive modeling in achieving business objectives, emphasizing the alignment of the resources -- management buy-in, statistical methods, business understanding, database skills -- critical to success. He balances a refreshing confidence in academic models with a practical regard for the inevitable fallibility of real-world data, and leads the way with a contagious sense of exploration and discovery.

"I began the workshop wondering if I was going to come up short by a PhD in statistics, and left with confidence that my experience in historical business analysis and database quality assurance give me the edge in applying analytics. The modeling methods are accessible, and when carefully applied they enable data stores to speak their latent self-knowledge to the analyst.

"I was also impressed with the diversity and caliber of attendees, and I thought the discussions that arose enhanced the workshop with real-world scenarios. Eric is highly intelligent and well educated in his field, and was always responsive to challenges. I applaud him for his unassuming style and intellectual generosity, and for his unpretentious sense of humor. I learned a great deal in two days and had fun doing so."

David Becker
Business Analyst
Pilgrim Insurance

"Excellent and comprehensive view of predictive analytics in use, presented in an enjoyable format. Uber seminar!"

"The demos, program examples and business process information were extremely helpful."

"The course provided me with a framework upon which to develop our predictive modeling capability."

"I expected the material to be much more difficult and technical [but I was] pleasantly surprised how accessible it was."

"I enjoyed the Predictive Analytics Training last week in San Francisco. I was fortunate in that it was right about the pace that I could follow it."

"The class peaked my interest and encouraged me that we may have the ability to predict the quality of our products and what our customer might see."

"Eric clearly loves his work. His enthusiasm was evident and egged me on."

"Packed a broad spectrum of business and technical issues into a short time -- great overview."

"Excellent mastery and understanding of potential hazards and risks of model implementation."

"I really enjoyed the class. I just took this new job at [a Fortune 100 technology company] and your class helped me understand what I am supposed to do."

"Instructor was very knowledgeable and easy to understand."

"...the course was excellent and I have recommended it to other employees."

"This 'dry topic' seminar is actually interesting, interactive and entertaining, mainly due to the instructor."

"It's beyond your daily statistics and forecasts... its prediction!"

"Provided comprehensive overview of how to perform predictive analytics - insructor was very knowledgeable."

When asked, "What worked best for you in this training program," attendees have responded:

• Case studies and real-world examples
• Breakout problem-solving sessions
• Articulate instructor
• The short hands-on exercise with Excel
• The presentation style
• The interactive curriculum
• The business context placed around the core technology
• The overall focus on business objectives
• Starting with the business applications and getting technical later
• The reference list of resources
• Live demonstrations of predictive modeling software tools
• Improved understanding of neural networks and other newer techniques
• Schedule and organization of the class
• Broad knowledge of data mining
• Showing the internal working of the algorithms
• Learning a lot in a short time about something cool, new and potentially beneficial.
• Good interaction with the instructor
• Business application
• Explanations were excellent
• Knowing the different options in modeling and the pros and cons
• Translating analytics/data to business opportunities
• Understand predictive forecasting
• Strategic thinking
• Exploring opportunities on actual data
• Discussing issues with peers
• Building a model hands-on
• Seeing practical uses of data modeling
• Applicability of the subject to my work

Register for the predictive analytics seminar