Customer data quality has become a priority to a great extent in the financial services and insurance industries. To make the most of this precious data, the time has come for structuring data projects to  automate processing and increase agility.

Regulatory compliance, and in particular the fight against fraud, benefit from the optimized data governance provided by these projects. On one condition: that clean data is integrated upstream. Data quality in contact data is one of the tools to put in place to achieve it.

So, what exactly are the use cases for data quality in contact data in order to foster compliance and support anti-fraud efforts? What expertise and data quality solutions do financial services and insurance players need so that they deploy successfully?

Discover DQE’s answers for adding value to customer contact data for financial institutions and insurance companies.