Strategic Uplift: Expanding Data Engineering for BI Growth
A pan-African bank gave its BI initiative a shot in the arm by growing their Data Engineering division. In discovery sessions with the new team, Nathan Claire’s data scientists presented the wealth of performance metrics captured by application performance monitoring solutions deployed by Nathan Claire.
Unified Insights: Metrics Across People, Processes, and Technology
These included metrics that objectively measured the performance of the full technology stack, the business services or processes executed on the technology, as well as the actions of the people (staff and customers) that initiated the processes. The combined team also articulated the various insights, inferences, scores and other ways that the data can be utilized to support decision-making and automation.
Implementation: ETL Integration into the Enterprise Data Lake
Assisted by Nathan Claire’s data scientists, the bank’s Data Engineering team deployed ETL processes that successfully enrich their data lake with the performance data on people, processes and technology.
lementation: ETL Integration into the Enterprise Data Lake
Outcome: Role-Based BI Reporting and Enhanced Decision-Making
The enriched data enables the delivery of BI reports to senior management and other stakeholders, tailored to their respective roles and perspectives, thereby improving visibility, decision quality, and organizational responsiveness.
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