Achieving High Customer Data Quality: A Comprehensive Guide

The quality of customer data is critical for organizations in the information age. In this paper, we highlight the need for the right data quality, its attributes, and reasons for poor customer data quality in sales and revenue. It also covers the causes of poor customer data quality and offers tips on how to get and keep quality data. This paper highlights the importance of a structured approach that includes building a data quality team, data profiling, and data quality remediation. The size of the business case is such that investing in customer data quality initiatives means less waste, more sales and better customer loyalty.