Customer Data Management

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What Does Customer Data Management Mean?

Customer Data Management (CDM) is a solution mechanism in which an organization’s customer data is collected, managed and analyzed. CDM is geared toward resolving customer requirements and issues while enhancing customer retention and satisfaction, allowing an organization to convert customer data into Customer Intelligence (CI).

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Techopedia Explains Customer Data Management

With CDM, one or more software applications are integrated to facilitate access to reliable and efficient customer data. Attracting and retaining customers requires a clear understanding of customer requirements. CDM streamlines customer relationship management (CRM), marketing and customer feedback management (CFM).

CDM must be tightly integrated across the departments of an organization, including IT, sales and HR. CDM processes include:

  • Categorization: Customer data is classified and subclassified.
  • Correction: Collected data is verified for accuracy and consistency. When necessary, contact details are updated, and duplicate records are removed.
  • Enrichment: Incomplete data is collected and completed.
  • Collection: Customer data and insight activity is collected via a customer feedback system or sources, like sales, customer support, surveys, reports, newsletters and other customer interactions.
  • Organization: Customer data is organized and shared throughout an organization.
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Margaret Rouse
Technology Specialist
Margaret Rouse
Technology Specialist

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of ​​a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.