Automation of retail banking processes
Objective
A large UK-based bank wanted to automate most of it's retail banking processes.
Challenges
- Limited data profiling and quality of reporting data.
- Lack of standardized reporting and no enforcement of process controls.
Approach
- Developed a data quality framework and increased the bank's appetite for data quality to promote a culture of data literacy.
- Used Databricks for data storage, Informatica for automated governance and data quality, and Tableau for interactive dashboarding.
Impact
- Automated 80% of the client's retail banking activities resulting in closing 12% of branches to reduce costs.
- Streamlined operational efficiencies.
Questions