Design of data strategy for next generation data operating model
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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.
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