Willis Towers Watson Software Training

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Emblem is the industry standard for robust predictive modelling, delivered in a fast, highly efficient, user-friendly environment.

Incorporating years of practical experience in its design, it fits predictive models rapidly to very large and complex datasets, revealing the underlying patterns in your data.

Emblem training courses are aimed at helping users develop their modelling capabilities.  These sessions are open to all companies licensing the software.

Our introductory course E1: Fundamentals of Emblem is held regularly at our training facility in Reigate.  However courses are currently being run as an Online Webinar (G.M.T).  Private training for a minimum of four delegates is also available.  The content is aimed at new users of Emblem and introduces the key features and functionality of the Emblem suite.

Topics covered will include:

  • Modelling Process and GLMs
  • Data Validation
  • Trend Identification
  • Simplifications
  • Documentation
  • Model Validation
  • Identifying Interactions
  • Interaction simplification
  • Data
  • Building a start model
  • Efficient Modelling
  • Model Combining
  • Exporting Models and Predicting from Emblem
  • Additional Emblem Features

Delegates are provided with extensive course notes for future reference. Practical examples, worked solutions and additional exercises and answers are all included.

To maximize your learning experience, we limit attendance to a small group of usually up to six or seven for training held by Webinar and up to 12 for classroom based training.

To register interest and for pricing information please contact us.


Thursday, 10 February 2022


Times (U.K Timezone)

09.15 - Registration

09.30 - Start

17.00 - End


Online Webinar

Contact us
Jenny Child
+44 1737 284720

For product news, software help, articles, advice and license/product downloads please visit our Software Support Portal

 For information on other training courses for our software products, please visit Support, Services and Training: Insurance Technology

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