Data-Driven Decision Support | ERP ↔ Databricks ↔ Power BI Integration

Integrate ERP (e.g., NetSuite) with Databricks and Power BI to build centralized reporting and advanced dashboards that combine ERP, inventory, and sales data.

This integrated approach empowers organizations to streamline their reporting processes and leverage a unified data foundation for actionable business intelligence. By connecting ERP with Databricks, teams can aggregate transaction, inventory, and sales information, then utilize Power BI to visualize both operational and strategic KPIs in real time. This framework not only enhances cross-functional data accessibility but also supports rapid analysis, informed decision-making, and scalable insights across the enterprise.

Data-Driven Decision Support | ERP ↔ Databricks ↔ Power BI Integration

At a Glance:

By exporting to Databricks and visualizing with Power BI, organizations unlock cross-system insights and real-time decision support.

This unified data pipeline enables organizations not only to overcome native ERP reporting constraints but also to seamlessly blend disparate data sources, delivering a holistic view of business performance. Leveraging Databricks for data engineering and Power BI for intuitive visualization, teams can proactively identify trends, monitor operational efficiency, and support leadership with timely, data-driven insights that fuel continuous improvement and competitive advantage.

  • Centralize reporting across ERP, WMS, and marketplace data
  • Create dynamic dashboards for leadership and operations
  • Enable historical trend and margin analysis
  • Export NetSuite data via JDBC or API into Databricks
  • Clean, normalize, and join external data sources
  • Build Power BI dashboards for key business metrics
  • Automate refresh and distribution of dashboards

Key Results

  • Faster insights with less manual effort
  • Improved margin and operational analytics
  • Stronger cross-team alignment and forecasting

KPIs Scorecard

Metric
Report Generation Time
Dashboard Access Frequency
User Adoption (BI)
Data Accuracy
Manual Excel Usage
Target Example
-75%
+50%
>90%
≥ 99%
-80%
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