CRM analytics and business intelligence

Use the CRM analytics and business intelligence resources to design a CRM and BI analytics strategy in your organization. Find information on new CRM analytics and reporting tools from CRM vendors like Oracle and Microsoft. Learn how to use customer data effectively and how to take advantage of analytics on a tight budget. Discover how forward-thinking organizations are using BI and analytics for decision making and customer intelligence. Learn how predictive analytics are the first step in toward customer centricity.

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  • Cost Per Call 10 Aug 2006

    Word - In a call center, cost per call is a numerical metric calculated by dividing the total operational costs by the total number of calls for a given period of time... (Continued)

  • cost center 10 Aug 2006

    Word - A cost center is an organizational department or function that does not produce direct profit and adds to the cost of running a company but that is nevertheless crucial to the organization because it adds to profitability indirectly or fulfills some...

  • key performance indicator 10 Aug 2006

    Word - A key performance indicator (KPI) is a business metric used to evaluate factors that are crucial to the success of an organization.

  • real-time analytics 18 May 2006

    Word - Real-time analytics is the use of, or the capacity to use, all available enterprise data and resources when they are needed... (Continued)

  • predictive analytics 23 Mar 2005

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  • dirty data 21 Sep 2004

    Word - In a data warehouse, dirty data is a database record that contains errors.

  • customer acquisition cost 31 Dec 2003

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  • business metric 09 Dec 2003

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  • Customer Segmentation 25 Nov 2003

    Word - Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests, spending habits, and so on.

  • Web analytics 26 Oct 2003

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See also -Topics Related to Analytics:

Data integration, Customer privacy, Data governance, Data quality management