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Method and system for aggregating and analyzing data relating to a plurality of interactions between a customer and a contact center and generating business process analytics

  • US 20080240405A1
  • Filed: 03/30/2007
  • Published: 10/02/2008
  • Est. Priority Date: 03/30/2007
  • Status: Active Grant
First Claim
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1. A computer readable medium adapted to control a computer and comprising a plurality of code segments for aggregating data associated with a plurality of interactions between at least one customer and at least one agent for generating business process analytics, the computer readable medium comprising:

  • a code segment for organizing a plurality of agents based on a predetermined criteria;

    a code segment for selecting a range of the organized plurality of agents and identifying a plurality of interactions associated with the organized plurality of agents within the selected range;

    a code segment for receiving voice data associated with each of the identified interactions;

    a code segment for receiving agent call activity data associated with each of the identified interactions, the agent call activity data comprising at least one of agent on-call activity data, agent after-call activity data, agent screen analytics and agent desktop recording data;

    a code segment for receiving customer call activity data associated with each of the identified interactions;

    a code segment for receiving customer history data corresponding to each customer of each of the identified interactions;

    a code segment for analyzing the voice data, the agent call activity data, the customer call activity data, and the customer history data associated with each of the identified interactions; and

    a code segment for generating business process analytics for the identified interactions, the business process analytics comprising a code segment for generating dissatisfaction data for each of the identified interactions based on the analyzed voice data, the agent call activity data, the customer call activity data, and the customer history data.

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