predictive analytics
Client Testimony
Ratings for Predictive Analytics for Business, Marketing and Web training seminar:

( Click here for ratings of the online e-learning version )

92% of attendees Oct-2008 - May-2010 rated the training program Excellent or Very Good.

98% of attendees Oct-2008 - May-2010 rated the instructor Excellent or Very Good.

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.


Training participant comments about Predictive Analytics for Business, Marketing and Web:


"Eric did a great job educating and reinforcing my knowledge base in regards to predictive analytics. I highly recommend this upbeat, high quality training to all those that look to move their business forward."

Brian Thomas Seeley
Risk Modeling Analyst
Paychex


"CEO's of any business that has human customers should learn about the technologies available to predict customer behavior - or prepare to be out of business."

Robert Berry
CEO
DPS Telecom


"The course was great! Informative is an understatement. Eric made the material both interesting and easy to digest, and I'll be able to directly apply it to the analytics work that I do at my company."

Nathan Feder
Senior Manager, CRM and Analytics
Totsy


"I was very impressed that the clear objective throughout the course was to equip me with the skill I need to go back and do modeling. So many other courses are focused on selling the services of the trainer. There was not a whiff of that from Dr. Siegel."

Kenneth Kozielski
Sr. Dir., Strategic Development & Business Insights
ARAMARK


"The power of predictive analytics was demonstrated to me in this course. I now understand how, if you predict for customers down to a one-on-one level, you can effectively influence them."

Mark Angus
Managing Director
Innoviate (South Africa)


"Excellent entry level seminar, actionable content and an easy approach to start with predictive analytics."

Mario Padilla
President
Aida Direct (Colombia)


"This course was great to understand many different ways to do predictive modeling, while reviewing some models I haven't used in years, and introduced some new software and tools to keep me ahead of the curve."

Joel Hennig
Senior Data Anlayst
Spiceworks


"The program was excellent. The instructor did a great job educating the class and facilitating the knowledge within the class."

Mike Hart
Regional Director
Lennox Industries, Inc


"Excellent, timely and robust."

Edward Saunders
QVC


"Now I am even more enthusiastic about the Predictive Analytics capabilities and benefits for business!"

Marco Martin
Business Intelligence Analyst
A Fortune 1000 Company


"A solid, well-defined representation of the positive impact predictive analytics can have on any business!"

Kevin Edwards
Todaysbackyard.com


"Great course for understanding predictive models and real world applications."

Daran Johnson
President/Co-Founder
Fujo, Inc.


"I walked away from the training with a great foundational understanding of predictive analtyics and immediate ideas for applying it at my organization."

Karen Taggart
Donor Data Manager
A well-known non-profit organization


"This training provided an excellent blend of theoretical models with real-life examples - will definitely use what I learned here."

Erica Zidel
Senior Consultant
West Monroe Partners, Seattle


"Predictably interesting!"

John Parlea
Account Director, CRM
Volkswagen Canada at Palm Arnold


"Very useful seminar. Really explored all the basics (and then some) on predictive analytics and how to leverage [it] for my business."

Monish Ramnath
Marketing Manager, Business Analytics
MetLife


"By learning predictive analytics, I think it is a) easy to justify business value, b) entails hands-on steps, c) actionable to deploy, e) iterative in nature for self-improvement."

Mandy Guo
Sr. eCommerce Analyst
Eletronic Arts


"Deep insights, easy to understand scenarios, excellent trainer. Predictive analytics is indeed cool and exciting!"

Matthias Bettag
Content-Management Expert
Bayer


"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


"The best training seminar I have ever attended. I loved how the seminar was geared around theory and application rather than learning about an individual statistical mining tool."

Ryan Williams
Mgr Customer Analytics
GSI Commerce


"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

"Good course; [the relevant brain-teaser] puzzles were fun too!"


"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
  • Rules of thumb based on presenter's experience
  • Detailed training materials
  • 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
  • The examples of applications
  • Emphasis on business goals and objectives
  • The book that follows course slides - a great take-away to remember course material.



Register for the in-person predictive analytics seminar


Ratings of the Online Training: Predictive Analytics Applied

91% of online participants rated the training program Excellent or Very Good.

100% of online participants rated the instructor Excellent (73%) or Very Good (27%).

100% of participants would recommend this training program; 73% Very strongly or Strongly.


Training participant comments about Predictive Analytics Applied:


"A very clear presentation, building concept upon concept and knowledge upon knowledge in a very orderly fashion that is easy to understand and retain. The hands-on exercise which culminates the second module is very exciting. The structure built upon this foundation is solid, robust and flexible."

Moshe Kravitz
Director of Finance
IDT
United States


"It's just the best way to enter the amazing new world of Predictive Analytics! Compact, to the point but still not shallow. And I love the many strong examples."

Ronny Roeller
CTO
Fredhopper
The Netherlands


"As business understands the importance of predictive analytics, the skills and resources become more critical - This course was a great introduction to lay the groundworks for someone interested."

Jane Kuberski
Infrastructure Engineering (Data Analytics)
Nationwide Insurance
United States


"Thank you Eric for the perfect introduction to predictive analytics. It's just the right blend of a business and technical angle I was looking for."

Emiliano Pasqualetti
CEO
DomainsBot Inc.
United States


"This course is the most comprehensive and pragmatic on the topic. It is accessible to anyone (C-level executive and power analysts alike)... and offers a window on a world that will drive the future of marketing decisions. You'll also find that the online version offers flexibility and entertainment; Eric is clever, funny, and is a visionary for the discipline."

Patrick Turgeon
Principal
Figurs
Canada


"[The instructor] manages to present the concepts and techniques in a practical way so you can later apply it to your particular situation. Follow-up over email and phone worked very well. He responded fast and did not hesitate to answer, [taking] the time needed to make points understood."

Diego Socolovsky
Principal
MATES Business Consulting
Uruguay


"Wish I had access to your material 10 years ago! Your training is high-impact, carb-packed food for thought. It opened the door for me to this fantastic space."

Matthew Bascom
President
Export Analytics Inc.
United States


"This online training is the best way to start with predictive analytics. It gives an excellent high level overview of the subject, presents several techniques that are immediately applicable and introduces the ideas behind underlying math algorithms in an easy to understand manner. This allowed me to motivate my team of product managers to apply predictive analytics techniques in their product and gather some low hanging fruits. Moreover, it ignited deeper study of the subject and its applicability in our case."

Suren Samarchyan
VP of Product Management
Innova Systems
Russia


"I enjoyed taking the seminar! Eric gives a very clear and concise presentation of important data mining concepts."

Vlad Savchenko
Software Consultant
Nexus Group
United States


"...awesome. A good high-level insight is provided on topics such as neural networks, Naive Bayes, targeting online ads, etc."

Murlidhar Jutti
Statistical Modeler
Mercury Analytics
Canada

"It was great to have a low cost way to get to this content."

"The interactive Excel worksheet [hands-on exercise] illustrating lift was terrific."

"By the way, great course! With 10 years in software I am new to analytics but am finding the courses to be very good."

"I enjoyed your module 1 a lot (both the delivery and the contents). I'd taken one course before but it was rather cryptic. You clarified many of my doubts. I am enjoying and really learning a lot."

"[I liked best the] ability to self-pace the study."



Register for the online predictive analytics seminar
 
Conference

Predictive Analytics World

  Mar 18-21 2013: Toronto
  Apr 14-19 2013: San Francisco
  Jun 10-13 2013: Chicago
  Sep 29-Oct 3 2013: Boston
  Oct 23-24 2013: London
  Nov 4-5 2013: Berlin

The business conference for predictive analytics.

PAW for Government

Sep 18-19 2013: Wash. DC

The government conference for predictive analytics.

 
Book

Predictive Analytics:
The Power to Predict Who Will Click, Buy, Lie, or Die

Read this rich, entertaining primer by Predictive Analytics World founder Eric Siegel.
More info

 
Training

Predictive Analytics Seminar

2013:  New York City
2013:  San Francisco
On-site:  Customized
On-demand:  Online course
Watch now:  Sneak preview

This concentrated seminar covers predictive analytics for business, marketing and web.

 
Conference

  Text Analytics World

Apr 17-19 2013: San Francisco
     Oct 2-4 2013: Boston

The business conference for text analytics.

 
Newsletter

Predictive Analytics Times

This monthly newsletter delivers predictive analytics articles, case studies and event notifications.

analytics newsletter

View previous newsletters

 
Analytics Information

Predictive Analytics Guide

Predictive Analytics reading, training options, conferences and other resources.

 
In-person Attendees
Adobe
ADP Dealer Services
Aida Direct (Colombia)
American Cancer Society
Amway
AOL
Apple
ARAMARK
Autodesk
Avnet
Bank of America
Bayer
Beliefnet.com
Blue Cross/Blue Shield
Blue Shield of CA
Britannica
Boeing
Cable & Wireless Panama
Cablevision
Capital Group
Cavalry Investments
Cisco
Citco Fund Services
ClickValue
Cobalt
Cogeco
Corporate Express
Compass Bank
Deckers
Dell
Dentsu
DermStore
Digital River
Disney
DoubleClick
Dow Jones
DPS Telecom
Duluth Trading
eLayaway
Electronic Arts
ESPN
ExactTarget
Export Development Canada
Express Scripts
Extrovertic
Fandango
Federal Express
Fidelity Canada
Fire Mountain Gems
FriendFinder
Fujo
Geico
Genentech
Getty Images
Globo.com (Brazil)
GSI Commerce
Harbor Freight Tools
Hewlett-Packard
HowStuffWorks.com
Hotwire
HSN
HUB International
Human Rights Campaign
IADB
IBM
IEEE
IMS Health Canada
Innoviate (S. Africa)
Intel
Interwoven
Intuit
iTVX
Johnson & Johnson
Johnson & Johnson Vision Care
JPMorgan
Jupiterimages
KnowledgeBase Marketing
Lennox Industries
Liberty Mutual
Logitech
LoopNet
Loyalty One - Air Miles
lynda.com
MEC Interaction
Merck
MetLife
Microsoft
MITRE
Monster.com
MRM Worldwide
MTV
MySpace
NASA
NBA
New York Times
Nickelodeon
Ontario Lottery
Orbitz
PA State Govt
Pacific Bell (now SBC)
Panalysis
Paychex
PayPal
Penn State
PETA
Petro-Canada
Pilgrim Insurance
PlanetOut
PPG Industries
PricewaterhouseCoopers
Primedia
PSEG
Qualcomm
QVC
Qwest
Raritan
Rasmussen College
Reliant Energy
Research in Motion
Rogers
Ruby Nuby
S&S CRM Partners
SAIC
SAS
Scandinavian Airlines
Sciele Pharma
Shopping.com
Sierra Trading Post
SimpleTuition
Spiceworks
Synovate Healthcare
T-Mobile
The Ladders
The Vitamin Shoppe
Teleflora
Tourism BC
Totsy
TransCanada Pipelines
Transcom
Troxell Communications
US Auto Parts
US Census Bureau
US State Department
USA Today
USDA
Verizon Wireless
The Vitamin Shoppe
VSP
Wells Fargo
West Monroe Partners
Wirestone
World Vision
Wright Express
Yahoo!
 
... as well as many other non-profits, direct marketing shops and small-to-medium online businesses.
Online Participants
ACI Worldwide
Aflac
Agilent Technologies
Agnesian HealthCare
Air Products
Allconnect
American Cancer Society
American Express
Amylin Pharmaceuticals
Apple
ARAMARK
Argos
ASAE & The Center
Asset Acceptance (collections)
AT&T
AutoTrader.com
AvenueVERVE
Axcess Financial
BAE Systems
Bayer
Bell Canada
BESTSELLER (Denmark)
Better World Books
BioIntelli
Boeing
Bridgepoint Education
British Columbia Lottery
Canada Revenue Agency
Chamberlain College
CHEP
Chevron Federal Credit Union
Ciber (IT consulting)
Cisco
Citrix
Comcast
Compugen
Conde Nast
Consumer Reports
Contra Costa Sheriff's Office
Convergys
CoreSight (Australia)
Countryside Magazine
Coutts Bank (UK)
CRS Business Associates
Datability (Saudi Arabia)
DataDrivenCEO.com
Dfocus
DomainBot
Easytobook.com
EducationDynamics
Elsevier
Empire Life
Enbridge Pipelines
Eugene Water & Electric Board
Evonik Industries
Experian
Experimental Aircraft Association
Exploratorium (museum)
Export Analytics
Extra Space Storage
Fifth Gear
Figurs
First Class Flyer
Formspring.me
Freedom Communications
Fujitsu
Fluor
Foreclosure.com
Fredhopper
Fusion Technology
Genentech
George P Johnson Marketing
Gerson Lehrman Group
GlaxoSmithKline Healthcare
Google
Guardian Life
Haworth
Hayneedle
Heineken
Hilti
Humana
IBM
IDEX
IDT Telecom
ImetriX (Italy)
Ingersoll Rand
Innova Systems
Innovis Data Solutions
Intellectual Capital Consulting
Interactive Data
Intuit (India)
InVision Software (Germany)
ION Innovative Solutions
Iron Mountain
The Jackson Laboratory
John Hancock Life
Kaiser Permanente
Levi Strauss
LHS Telekommunikation
Liberata (UK outsourcing)
Liberty Mutual
Lift Agency
Likewise Software]
Manulife Financial
MATES Business Consulting
Mercury Analytics
Microsoft
Minneapolis Institute of Arts
Nationwide Insurance
Nabler Web Solutions
Nestle
New Marketing Factory
NEXT Ltd.
Nexus Group
Nielsen
NOD3x
Numericjobs.com
Opinmind
Oregon Dept Consumer & Bus
Pacific Gas & Electric
Pella (windows & doors)
PepsiCo
Perceptive Software
Philips Healthcare
PhunkMedia
Planet Millennium Co-op Housing (India)
Plentyoffish
PLS Financial
Popular Community Bank
Procter & Gamble
Project Management Institute
Project Performance Corp
Projectline Services
Points.com
Prudential
Quadbase
Queen's U. (UK)
Replacements, Ltd
Razorfish
Realogy
Rocket Dog
SAC Capital Advisors
Sagence Group
Sandia National Laboratories
SAP
Scala
Schneider Electric
Scout Analytics
Service Canada
Shire Pharmaceuticals
Shutterfly
Slalom Consulting
smartphoto
SPX (manufacturing)
StrongMail
Sullexis
SuperMedia
Symphony Teleca
T. Rowe Price
Thomson Reuters
Tejari
The Doctors Company
TotalJobs Group
Travelers
Turk Telekom (Turkey)
Unidos Financial Services
Union Bank & Trust
U. Illinois Urbana-Champaign
U. Alabama Huntsville
U. Michigan
US Coast Guard
V2A Strategic Management Consulting
Verizon
Vertis Communications
Viacom
Virtual Hold
Vision Service Plan
Wallenius Wilhelmsen Logistics
Waters
Weiss Group
Wunderman A/S
Xerox
YogaTerric
 
... and more.