InforSense
Beyond Intelligence
 

SIEBEL EDITION

Embed predictive analytics into your Siebel applications

 

Key Benefits:

  • Provide better customer understanding and segmentation and easily create dynamic characterizations of important customers
  • Predict customer life time value and cross-sell/up-sell opportunities
  • Design and execute customer retention analysis
  • Optimize marketing campaign effectiveness

InforSense Siebel Edition extends Siebel Customer Relationship Management with data mining functions that provide advanced customer intelligence from within Siebel applications such as Siebel Marketing and Siebel Contact Center. InforSense enables marketing teams to:

  • Identify key drivers for customer behavior in order to predict and minimize attrition;
  • Find the relationships between demographics and behavior that enable successful product positioning;
  • Reliably measure the response to campaigns and launches.

InforSense is the first company to integrate deep customer understanding functions fully within the Siebel and Oracle BI Enterprise Edition infrastructure. It is based on the award-winning InforSense analytical platform and Oracle/Siebel technology standards and operates on all Siebel implementations regardless of the underlying databases.

Using InforSense Siebel Edition, marketing teams can:

  • Understand and segment customers more effectively, and create dynamic characterizations of important customer groups, such as customers at risk.
  • Predict the probability of customer defection and understand which of the competing risks are most likely to cause defection.
  • Design and execute customer retention analysis.
  • Predict and create cross-sell/up-sell opportunities and build real time product recommendations for customers.
  • Design and execute targeted marketing campaigns to optimize campaign effectiveness.
  • Deploy analytics-based decision models in champion-challenger mode ensuring ongoing optimization and improvement of predictive strategy.
  • Design and execute Time to Event (survival) analysis to answer key questions such as when a customer will leave, and when the customer will buy a new product.
 

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