High volume, unfortunately, does not equate to high quality, reconciled and unified customer information in different systems - "Owned" by different parts of the enterprise. Poor data quality is a significant problem for many organizations as it can lead to inferior customer service, reduced employee productivity, lost sales opportunities and increased marketing costs. For those organizations that have yet to adopt data quality management initiatives, the challenge is often how to justify a project for a seemingly elusive value proposition, and map out the investments in information systems and human resources that are needed to solve even the most rudimentary data unification and reconciliation projects.
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