What is Predictive Analytics?

Predictive analytics is business intelligence technology that produces a predictive score for each customer or prospect. Each customer's predictive score informs actions to be taken with that customer — business intelligence just doesn't get more actionable than that.

Predictive Analytics Applied - Online Edition is a self-paced online course that covers one-third of the material of Prediction Impact's in-person program, Predictive Analytics for Business, Marketing and Web. Through four concentrated sessions of 45 minutes each, an abridged version of the in-person training program's central contents are provided:

• Applications: Business, marketing and web problems solved with predictive analytics
• Core technology: How a predictive model works and how it's created
• Evaluation: Measuring how well a predictive model works and how much revenue it generates
• Process: Management and project leadership for predictive analytics
• Illustrations: Live demos and detailed case studies
• Hands-on: Get your hands dirty for 20 minutes with a revealing Excel-based exercise

Personalized support: Online training participants also receive 30 minutes of Q-and-A support with the instructor via telephone or email.

Each session of this self-paced e-learning program may be viewed at your convenience (after the release date of July 7, 2008). Since no travel is required and the registration fee is one-third the fee of the in-person training, it provides an economical alternative for ramping up on predictive analytics.

Not sure where to start? Make use of our follow-on discount for the in-person training: Online training participants may subsequently apply half their registration fee towards registration for Prediction Impact's 2-day in-person seminar on predictive analytics. This option holds for 18 months after participating in the online training.

This way, online participants can later reap the benefits of the extensive in-person training program — gaining valuable reinforcement of the concepts and networking with colleagues — at a discounted rate. The in-person training program covers three times as much content and examples as the abridged, online program, including additional detailed case studies and demos, more extensive coverage of core predictive modeling methodology, and breakout problem-solving sessions with colleagues. Read the in-person course description for more information.

Who this online course is for:

Managers. Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities.

Marketers. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell.

Technology experts. Analysts, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics.

In order to meet the unique training needs of business decision makers and analytics practitioners, this training program is:

• Business-focused. Unlike other training programs that also cover scientific, engineering and medical applications of data mining and analytics, this seminar focuses squarely on solving business and marketing problems with these methods.
• Comprehensive across business needs. Within this realm, however, we step beyond the standard application of response modeling for direct marketing to solve a wide range of business problems.
• Vendor-neutral and method-neutral. This training program, which is not run by an analytics software vendor, provides a balanced view across analytics tools and methods.

No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Excel.

Please contact Prediction Impact with any questions about this training program.

Course information and registration

Training participants receive by mail a course materials book and an official Prediction Impact certificate of completion for the Predictive Analytics Applied training program. In addition, 30 minutes of Q-and-A support with the instructor is provided via telephone or email.

Introductory Special: 50% off the regular price of $495 through May 21, 2008 (US Dollars). In anticipation of the July 7, 2008 release of this new online training program, place a $50 registration deposit or a complete 50% registration payment by May 21 and secure the special introductory price. Full payment will be required prior to course participation.

Follow-On Discount for In-Person Training. Online training participants may subsequently apply half their registration fee towards registration for Prediction Impact's 2-day in-person seminar on predictive analytics. This option holds for 18 months after participating in the online training. This way, online participants can later reap the benefits of the extensive in-person training program — gaining valuable reinforcement of the core concepts and networking with colleagues — at a discounted rate.

Although registration is currently available, the online program sessions will not be available until July 7, 2008.

1. Registration with Google Checkout:

Course registration, or a pre-registration deposit, may be completed with a credit card via Google Checkout. You will receive email providing instructions for participation in the online training, as well as a payment receipt. If the registrant is not the same as the payer, please specify via email to training@predictionimpact.com after payment.

Complete discount registration at 50% - $247.50 Pre-registration deposit to hold discount slot - $50.00

2. Registration with PayPal:

Course registration, or a pre-registration deposit, may be completed with a credit card, eCheck, or PayPal balance payment via PayPal. You will receive email instructions for participating in the online training, as well as a payment receipt. If the registrant is not the same as the payer, please specify via email to training@predictionimpact.com after payment.

Complete discount registration at 50% ($247.50):           



Pre-registration deposit to hold discount slot ($50.00): 

Start learning right now

The following short, published articles, written by the instructor, are a great place to get started. Note that these articles are not required reading; the material therein will be covered during the training program.

Predictive Analytics with Data Mining: How It Works
Get a handle on the functional value of predictive analytics for marketing, sales and product direction. DM Review's DM Direct

Driven with Business Expertise, Analytics Produces Actionable Predictions
Run data mining as a business activity to generate customer predictions that will have a business impact. CRM Magazine's DestinationCRM.

Predictive Analytics' Killer App: Retaining New Customers
Predictively targeted discounts convert new customers who would otherwise never return to become loyal customers. DM Review's Extended Edition.

About the instructor

Eric Siegel, Ph.D., is a seasoned consultant in data mining and analytics, an acclaimed industry instructor, and an award-winning teacher of graduate-level courses in these areas. Eric served as a computer science professor at Columbia University, where he developed data mining technology in the realms of machine learning performance optimization, integrating historical databases, text mining, and data visualization. Eric produced 11 peer-reviewed research publications and ran an MIT-hosted symposium on data mining. He also co-founded two New York City-based software companies for customer/user profiling and data mining. With data mining, Eric has solved problems in CRM analytics, computer security, fraud detection, text mining and information retrieval.

Eric has taught industry programs through Prediction Impact, The Modeling Agency and Salford Systems. In addition, he taught many semesters of university courses, including data mining-related graduate courses as well as introductory lecture series for non-technical audiences. Two of these courses have been in syndication through the Columbia University Video Network. Eric also published three peer-reviewed papers on computer science education.