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Bruce Ratner
  • Male
  • Valley Stream, NY
  • United States
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Bruce Ratner's Page

Profile Information

DM STAT-1 Consulting
Technical, Professor, Consultant
Job Function:
Data Mining, Marketing Databases, SAS, Web Analytics, Statistical Consulting, Artificial Intelligence
DM Industry
Short Bio:
Bruce Ratner, Ph.D., founder and President of DM STAT-1 Consulting, has made the company the ensample for Statistical Modeling & Analysis and Data Mining in Direct & Database Marketing, Customer Relationship Management, Business Intelligence, and Information Technology. DM STAT-1 specializes in the full range of standard statistical techniques, and methods using hybrid machine learning-statistics algorithms, such as its patented GenIQ Model© Modeling & Data Mining Software, to achieve its Clients' Goals - across industries of Banking, Insurance, Finance, Retail, Telecommunications, Healthcare, Pharmaceutical, Publication & Circulation, Mass & Direct Advertising, Catalog Marketing, e-Commerce, Web-mining, B2B, Human Capital Management, and Risk Management. Bruce’s par excellence consulting expertise is clearly apparent as he is the author of the best-selling book Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data (based on Amazon Sales Rank since June 2003), and assures: the client’s marketing decision problems will be solved with the optimal problem-solution methodology; rapid start-up and timely delivery of projects results; and, the client’s projects will be executed with the highest level of statistical practice. He is often-invited speaker at public and private industry events.
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Bruce Ratner's Blog

Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data - Bruce Ratner, Ph.D.

Posted on June 7, 2009 at 3:14pm 0 Comments

This book is a compilation of essays that offer succinct, specific methods for solving the most commonly experienced problems in database. The common theme among these essays is to address each methodology and assign its application to a specific type of problem. To better ground the reader, I spend considerable time discussing the basic methodologies of database analysis and modeling. While this type of overview has been attempted before, my… Continue

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At 10:48am on July 30, 2009, Ronald J. Ramos said…
Hi Bruce:

Welcome. You'll find this group interesting and very useful in building competitive strategies making the whole promise of “Competing on Analytics” through data mining insights both realized and sustainable.

Let’s stay connected.
All the best,

At 9:16am on March 15, 2009, D. L. (Larry) von Kleeck said…
Bruce, thanks & I can appreciate that.
At 8:45am on March 15, 2009, D. L. (Larry) von Kleeck said…
Yes Bruce, I appreciated your presentation & writeup on GenIQ. Has any work been done on comparing it with GEP? If so, I'd like to see it, & if not maybe some should be done. But, as always, there is "no silver bullet", "no one size fits all", etc. ... the "best" modelling technology is problem dependent.
At 8:31am on March 15, 2009, D. L. (Larry) von Kleeck said…
Hi Bruce, DLvK (Larry) here ... an Informs contact from the past. I just joined after finding you, Mike Eichorst, ... etc were members. Must be a good place to "hang out"!

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