Databricks have just announced SAP Databricks! Read more here: https://www.databricks.com/blog/introducing-sap-databricks This partnership represents a great opportunity to enable the whole Enterprise with SAP Business Data Cloud (Read the SAP announcement here: https://news.sap.com/2025/02/sap-business-data-cloud-databricks-turbocharge-business-ai/).
Enterprise SAP rollouts are inherently complex, with data often being fragmented and messy. Businesses that have expanded through mergers and acquisitions frequently find themselves managing hundreds of SAP instances, each with different versions, configurations, and data structures. Integrating this diverse landscape into a unified data platform is a significant challenge, requiring careful data onboarding, standardisation, and governance to ensure consistency and usability.
At Advancing Analytics, we’ve spent years helping enterprises modernise their data platforms and unlock the full potential of AI. With SAP Databricks, the landscape has changed—businesses can now seamlessly integrate SAP data with the rest of their enterprise ecosystem, unlocking advanced analytics, AI-driven insights, and real-time decision-making like never before.
https://www.databricks.com/blog/introducing-sap-databricks
Leveraging our expertise in SAP, Databricks, Microsoft, and AWS, we help SAP customers take full advantage of this shift. Whether it's modernising data infrastructure, optimising governance with Unity Catalog, or delivering AI-powered insights, we’re ready to guide organisations through this transformation. Take a look at our Retail & CPG case studies for real-world examples of how we help our customers make better decisions with analytics underpinned by SAP Data.
SAP systems form the backbone of many enterprise operations, enabling organisations to manage critical business functions efficiently. By integrating SAP data with modern AI and analytics platforms, businesses can unlock deeper insights and drive smarter decision-making across key areas. Here are some of the most impactful SAP use cases:
- Finance & Forecasting – SAP enables revenue, cash flow, and profit forecasting, helping finance teams make data-driven decisions, optimise cash management, and improve financial planning.
- Supply Chain Optimisation – Organisations can leverage SAP data to streamline logistics, supplier relationships, and demand planning, reducing costs and improving fulfilment.
- Inventory Management – SAP supports real-time inventory tracking, reducing overstocking and stockouts while improving operational efficiency.
- Production Optimisation – By analysing SAP data, businesses can enhance manufacturing processes, reduce waste, and improve production planning to meet demand more effectively.
- Asset Optimisation & Predictive Maintenance – AI-driven insights from SAP data help predict equipment failures, schedule proactive maintenance, and reduce unplanned downtime, extending asset lifespan.
- Sales & Customer Support – SAP data integrates with CRM and service platforms, improving customer engagement, personalising experiences, and streamlining service operations.
- Human Resources & Workforce Planning – SAP SuccessFactors provides workforce insights, talent management, and learning analytics, ensuring organisations attract, retain, and develop top talent.
With SAP Databricks, businesses can now unify SAP data with broader enterprise datasets, enabling advanced AI, real-time analytics, and cross-functional intelligence.
This transformation empowers organisations to drive innovation, improve decision-making, and enhance overall efficiency.
Get in touch to see how Advancing Analytics can support you with SAP & Databricks.
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Author
Terry McCann