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Acquiring and retaining customers, as well as selling customers additional services has shifted from the old view of being the only alternative in town, to now requiring operators pinpoint the customer segments they serve though exiting customer characteristics such as psychology, demographics, and ethnicity.
 
HP Oneview is a pre-integrated, yet highly customizable analytical customer relationship management solution that enables network service providers to analyze customer interaction data from multiple sources and act on this intelligence to better market and sell their products. By gaining a comprehensive understanding of their customers, service providers are in a better position to acquire, retain, and increase their customer base.

HP Oneview provides the following core applications:

  • Churn management-helps ensure the retention of the profitable customer
  • Campaign management-features a powerful solution for planning, executing, and analyzing multi-channel campaigns that are aimed at target customers
  • Usage analysis-provides a sophisticated measurement of user calling patterns to determine user behaviors; this analysis is based on information contained directly in the Call Detail Record (CDR) and/or Internet detail records provided by the operator
  • Data mining-involves selecting, exploring, and modeling huge volumes of data to uncover previously unknown patterns

Why HP?

  • Offers a prepackaged approach that ensures rapid, lower-cost implementations; high scalability; and quick return on investment-while lowering overall risk
  • Utilizes an network service provider-centric data model
  • Provides an open, extensible architecture

Learn more about this solution

»  Achieve customer intimacy with HP Oneview
»  HP Oneview/Informatica solution
»  HP Oneview customer analytics
»  HP Oneview solution brief
»  HP Oneview churn management solution brief
»  HP Oneview campaign management solution brief

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Learn more about this solution

»  New IUM release 5.0
»  New IUM  release 5.0 data sheet
»  Support

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