Symposium ITxpo 2002 - Cannes, gartner.com
Symposium ITxpo 2002 - Cannes,
 
Symposium ITxpo 2002 - Cannes,


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Florence, Italy
10-12 March 2003
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23-27 March 2003
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19-24 October 2003

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Sydney, Australia
12-15 November 2002
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4-7 November 2002
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8-10 April 2002







Gartner Vice President, John Radcliffe


Successful CRM Management Requires High-Quality Data
Wednesday, 6 November 2002

Managing customer information is one of the eight building blocks of successful customer relationship management. And to get the most out of their interactions with customers, enterprises need to master the “blood supply” of CRM analytics and operations. Speaking at Gartner Symposium/ITxpo in Cannes, France on Tuesday, Gartner vice president John Radcliffe outlined that blood supply - the three basics of information for CRM:

1. Maintain accurate, relevant and legal data about customers
Looking after the raw data is boring and unglamorous, he said, until “the link with money is made.” As an example of the cost of poor data quality he cited an Australian company which relied on stored data about a unit of measure and tried to deliver two containers bigger than a customer’s entire warehouse.

Achieving quality data, Radcliffe warned, is as much a cultural as a technical issue. Data quality decays rapidly and enterprises should follow a methodology that includes regular measurement of data quality with goals for improvement and deployment of process improvements and technology.

2. Store the data in federated databases to give a multi-channel customer view
Storing customer data into a single, cosmic database may seem to be the ideal solution. But Radcliffe said that “it is unlikely to be feasible for most large enterprises due to the diversity of their applications portfolios and associated databases.” Instead, he suggested integration in a pragmatic fashion using middleware linking a federation of customer databases.

3. Apply appropriate analytic tools to gain insight into customers
Basic data is not enough for analyzing customer information. Enterprises need three kinds of data:
  • Descriptive: Contact details and demographic or business classification data
  • Behavioral: Patterns of purchasing and lifestyle
  • Contextual: Level of satisfaction, attitudes and life events
All this data needs to be put together through customer data integration (CDI) although it will be hard to calculate the return on this activity as it will involve many soft metrics.

Tools for analyzing the data are available and a multivendor strategy may be necessary. And enterprises will have to choose the most appropriate approach for CRM analytics. The approaches include business intelligence and data mining tools, the embedded capabilities in point CRM systems and a broad CRM analytics application suite.

As the tools provide insight into customers, enterprises should be using the insight to optimize its interactions with customers on an ongoing basis, leveraging all interactions to maximize their value to the enterprise.

Jonathan Green-Armytage
Gartner Staff





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