Housing unified departmental KPIs and governed data access on Snowflake

Departmental systems produced separate reports and measures. Analysts manually collated data, leaders lacked a complete business view, and teams could not consistently find or use the data required for cross-functional work.

• Siloed data: Data sat in separate departmental systems, limiting visibility and collaboration.
• Inconsistent reporting: Inconsistent, siloed reports gave leaders an incomplete picture of the business.
• Unclear KPIs: Without standardized KPI definitions, teams worked from conflicting numbers.
• Manual data assembly: Analysts spent their time collating and aggregating data by hand instead of using it.
• Restricted data access: Few people could reach the data they needed, which slowed decisions across the organization.

BluePi used AWS Database Migration Service and Databricks with PySpark to integrate departmental and selected third-party sources in Snowflake. Shared KPI definitions, role-based access, and a data catalog governed how teams found and used the data.

• Data consolidation: BluePi integrated the disparate sources into a central Snowflake repository, giving reporting teams one governed record to work from.
• Ingestion and integration: AWS Database Migration Service (DMS) and Databricks with PySpark ingest and integrate the data.
• Third-party data enrichment: Relevant third-party sources enrich the data for more complete analysis.
• Standardized KPIs: BluePi defined and consolidated KPIs across all departments so every function works from the same definitions.
• Governed data access: Role-based access control (RBAC) and a data catalog let diverse teams find and use data within their permissions.
• Multi-tiered processing: The platform supports flexible processing for reporting, analytics, and machine learning workloads.
• Central access and usage control: Access follows user roles and permissions, centrally managed.

Teams gained one governed platform and shared KPI definitions. Cross-functional analysis and campaign work could start from the same measures, while role-based access made relevant data available beyond the small group that previously assembled reports manually.

• Unified data platform: Data from all sources now sits in one platform, supporting cross-functional analysis and collaboration.
• Single source of truth: Teams work from one reliable data source with standardized KPI definitions.
• decisions based on current data making: Standardized KPIs and broader data access support informed decisions at every level.
• Better campaign management: Marketing teams improved campaign performance with current data and targeted strategies.
• Faster time to market: Simpler data access and processing shortened the ramp-up time for new initiatives.
• Data accessibility: Senior leaders and frontline teams have access to the governed data relevant to their roles.

Departmental and selected third-party sources moved through AWS DMS and Databricks with PySpark into Snowflake. Standardized KPI definitions and the data catalog sat over the governed repository, while role-based access controlled reporting, campaign analysis, and machine-learning workloads.

Manual assembly stopped being the only route to a cross-functional view. Teams could find governed data within their roles, compare measures from shared definitions, and begin new analysis without rebuilding the same departmental extracts.