Organizations rely on CRM systems to effectively interact and engage with customers and prospects – however, maintaining the data integrity of the individual customer record is a very common challenge.

Effective data quality processing requires the flexibility to evaluate and apply business rules on a multi-record basis. Such flexibility – typically beyond the capabilities of the database itself – is essential for data quality processing, including data profiling, matching, parsing, standardization and proper merging of records.

Download this eBook to learn how to ensure continuously high-levels of data quality within your CRM by embedding data quality functionality directly within your CRM system.