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

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