Financial services & insurance: how to turn data quality into a tool that supports compliance and the fight against fraud
Would you like to access the white paper?
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 this.
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 customercontact data for financial institutions and insurance companies.
More resources
April 30, 2024
Financial services & insurance: how to turn data quality into a tool that supports compliance and the fight against fraud
