RESEARCH & RESOURCES

Using Customer Analytics to Make Better Business Decisions

TDWI Speaker: Dave Stodder, TDWI Research Director

Date: Thursday, September 5, 2013

Time: 9:00am PT, 12:00pm ET

Webinar Abstract

To compete effectively and keep the best customers loyal, organizations need to capture a variety of data about customers and analyze it effectively. This includes tapping new and promising big data sources such as social media data. However, if organizations cannot analyze data in time and deliver insights to business decision makers quickly, all the data in the world won’t make a difference.

Customer analytics technologies and processes enable organizations to move faster to predict behavior and identify the best offers and actions for increasing retention rates, reducing churn, enhancing margins, and more. Customer analytics processes have traditionally been the exclusive province of expert data miners and data scientists, but no more. Today’s visual, easier-to-use tools are putting customer analytics capabilities in the hands of business decision makers. Technologies are making it easier to access, prepare, transform, and interact with fresher and more varied data so that analysis doesn’t come too late to have the highest value for marketing campaigns, sales strategies, and so on.

Join this TDWI Webinar to hear about technology and practice trends in customer analytics that are capable of bringing powerful insights to business decision makers. The Webinar will address how you can tap internal, external, and big data sources to expand options for analyzing customer data and deliver insights for key customer-facing processes.

You will learn how to:

  • Improve operations by supplying insights to customer-facing personnel, applications, and processes  
  • Overcome barriers to analyzing customer data sources, including big data and social media 
  • Enable business managers, not just data experts, to engage in customer analytics using visual, easy-to-use tools 
  • Select the right strategies for predicting customer behavior, reducing churn, improving segmentation, discovering patterns, expanding wallet share, and more 

David Stodder

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