A two-wheeler manufacturer migrated Oracle analytics to Snowflake and eliminated report failures

Nearly 30 percent of reports failed to perform as expected. Critical reports became unavailable during peak demand, data updates arrived late, and the platform could not reliably connect related internal sources.

• Unstable data platform: The manufacturer faced delays in data availability, report generation failures, and slow downloads. The instability disrupted operations and blocked timely access to critical information.
• 30% of reports underperformed: Nearly one-third of reports failed to perform as expected, so teams could not get timely answers from the reporting system.
• Integration failures: The existing system could not reliably integrate data from internal sources, disconnecting related datasets and blocking complete analysis.
• No reports during peak hours: Critical reports were unavailable during high-demand periods, exactly when decision-makers needed them most.

BluePi migrated the on-premises Oracle warehouse to Snowflake, replaced Oracle OBIEE with Microsoft Power BI, integrated SAP finance, added Fivetran continuous replication, and modernized reconciliation, security, and authentication controls.

• Cloud data platform for collaboration and sharing: BluePi implemented a cloud platform that makes data sharing between business units straightforward, breaking down information silos.
• Oracle warehouse migrated to Snowflake: The team moved from the legacy on-premises Oracle data warehouse to Snowflake. The migration also replaced Oracle OBIEE reporting with Microsoft Power BI for better visualization and analytics.
• Extensible for future change: The architecture accommodates future system changes and upgrades, so the platform can evolve with the manufacturer's data requirements.
• SAP finance integration: SAP financial data flows into the central platform, giving finance teams unified dashboards for oversight and planning.

Report failures were eliminated, data became available on time, ETL and reporting became faster, maintenance and operating cost decreased, and users gained current KPI access.

• Timely business KPI tracking: Decision-makers have direct access to critical performance indicators and a clear view of operating performance.
• Cost reduction: The modernized platform costs less to run than the legacy systems, with savings from cloud efficiency and reduced maintenance.
• On-time data for business users: Users across the organization get current information when they need it. The delays that previously hindered operations are gone.
• Continuous replication with Fivetran: Fivetran synchronizes data between systems continuously, so analysis and reporting always use current information.

DMS data from Siebel and Oracle, SQL Server files, CSV files, SAP, and related sources entered the Azure environment through ExpressRoute. Azure Data Factory and Fivetran loaded the landing path before Private Link connected it to Snowflake. Raw, refined, and warehouse layers used Snowpipe, Snowpark, streams, and tasks. Power BI and Snowflake data sharing served consumption, while monitoring, CI/CD, single sign-on, role mapping, and row-level security controlled the operating path.

Business teams received on-time data and reliable reports during peak periods. Finance and operating KPIs stayed current, while faster ETL and reporting and lower maintenance cost reduced the burden of the legacy platform.