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A global technology company uses Databricks as its centralized data platform, updating it nightly with ERP and operational data. To streamline workflows, they prefer MindBridge to source data directly from Databricks, reducing the need for multiple systems to access operational environments. Using the MindBridge integration notebooks with Databricks, the company enables a fully automated, end-to-end financial analytics workflow:
  • Data preparation and transformation
    A scheduled Databricks job prepares ERP and operational data by applying reusable, predefined transformation logic. Cleaned and structured datasets are formatted to match MindBridge requirements and pushed directly into MindBridge via API.
  • Automated analysis orchestration
    The same Databricks Notebook automates MindBridge API calls to trigger new analyses as soon as data is ready. This orchestration ensures that every data refresh (e.g., nightly or weekly) results in timely, consistent financial analysis—without manual intervention.
  • Frictionless insights delivery
    With automated data delivery and analysis execution, business users can access the latest results in MindBridge as part of their daily workflows. No separate data pulls or manual uploads are required.
  • Integrated risk intelligence
    Risk scores and analysis results are programmatically retrieved via API back into Databricks. The company leverages MindBridge outputs to conduct deeper investigations and enrich internal dashboards—enabling continuous risk monitoring and integrated reporting alongside other business KPIs.