Design of data strategy for next generation data operating model
Objective
A UK-based bank wanted an end-to-end data strategy to increase data centricity by transforming data acquisitions, governance, management, tools, platforms, skills and culture.
Challenges
- Inconsistent approaches to collecting, managing and analyzing data.
- Inadequate toolsets and skills for federated analysis.
Approach
- Performed a current state assessment with gap analysis.
- Provided recommendations for tooling across key areas including Informatica for Data Quality automation, Snowflake for data warehousing as a service, and Tableau for data visualization.
- Designed a roadmap for change for the client to implement recommended solutions.
Impact
- Created an implementation plan with clear next steps for adopting complex change enterprise-wide.
- Enhanced scalability through Snowflake utilization.
Questions