Self-Service Analytics Enablement for DataBank
See how Aimpoint Digital modernized DataBank's data and reporting platforms by enabling the migration of 20 + data sources into a Snowflake data lakehouse environment to provide end users access to self-serve analytics in Sigma.
The Challenge
DataBank historically used a combination of SQL Server and PowerBI / SSRS to produce operational reports for the business. This resulted in 'BI Sprawl' via the creation slow to produce, duplicative and unreliable reports across the organization. They desired help from a partner to consolidate data ingestion and modernize data modeling and reporting practices.
Our Approach
Aimpoint Digital replicated source data into a modern, layered data lakehouse in Snowflake where developers own curation and modeling of the data to 'serve' in data models that business users can consume in Sigma. We trained developers in code-first methodologies and how to function in this 'new world' of building a data lakehouse as well as end users in how to self-serve analytics/dashboards in Sigma.
Results
We enabled more than 50 users to create an operationalized 100+ reports in Sigma.
These data sources feed existing operational reports and set the stage for future advanced use cases.
To ensure access to the right data is appropriately managed.
Key Takeaways
Expected Takeaways
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