The top 10 secrets to using data mining to succeed at CRM: Discover proven strategies and best practices

The top 10 secrets to using data mining to succeed at CRM: Discover proven strategies and best practices

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Data mining is essential to your customer relationship management (CRM) initiative. In fact, the success or failure of your CRM endeavors hinge on your ability to swiftly sift through your customer data and glean insight to make faster, better and clearly targeted decisions.

Who doesn't want to elevate their customer acquisition and retention levels in a cost-savvy manner? Or improve cross-selling and up-selling opportunities to increase customer value?

This brief paper offers you insight into an innovative option that capitalizes on predictive analytics, enabling your organization to target, optimize and automate your customer-centric interactions, anywhere within your business. Take some time to read this now and learn from other successful companies 10 pivotal tips - including careful planning and setting specific goals - that will help you craft the perfect blueprint for your CRM data mining projects.

Vendor:
IBM
Posted:
16 Apr 2012
Published:
16 Apr 2012
Format:
PDF
Length:
8 Page(s)
Type:
White Paper
Language:
English
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