For regulated organisations in financial services sectors such as superannuation, banking, insurance and wealth management, poor data can result in breaches, potential fines, and reputation loss. Here’s how to ensure data quality success in financial institutions.

Using Investigate DQ, the project team were able to connect to each data location and easily apply rules that could identify data discrepancies across members, attributes and financial data. Customised reporting and intuitive dashboards allowed the team to track and report on the number of issues identified at each stage of the migration. This provided clarity and transparency to the stakeholders involved on the project to understand shifting priorities and target areas of concern.

Using Investigate DQ, the project team were able to connect to each data location and easily apply rules that could identify data discrepancies across members, attributes and financial data. Customised reporting and intuitive dashboards allowed the team to track and report on the number of issues identified at each stage of the migration. This provided clarity and transparency to the stakeholders involved on the project to understand shifting priorities and target areas of concern.

Overall, using Investigate DQ proved to be critical in the successful generation and distribution of member benefit statements on a quarterly basis. Not only were various teams and departments able to collaborate efficiently, a significant reduction in errors was also observed with each statement cycle, providing confidence in the process and better outcomes for members.