For years, SAP customers have faced a familiar challenge: rich, high-quality business data locked inside ERP and line-of-business systems, difficult to extract, expensive to replicate, and often arriving too late to drive meaningful decisions. The emergence of AI and machine learning has only sharpened that challenge. Building a reliable AI model demands not just data volume, but data quality, business context, and governance — the very things that traditional ETL-and-copy approaches erode.
This blog is explaining how you can extend AI, machine learning and predictive from SAP Analytics Cloud using SAP Databricks that is part of SAP Business Data Cloud.
Here is a summary of what each section covers:
Part 1 — SAP Business Data Cloud: Explains what BDC is.
Part 2 — What Is Databricks: Covers what Databricks is.
Part 3 — SAP Databricks in BDC: Explains the embedded, SAP-managed nature of the integration and why it matters when creating machine learning or predictive models.
Part 4 — Why Databricks Beyond SAC: Where Databricks helps beyond the AI, machine learning and predictive inside SAP Analytics Cloud.
Part 5 — Real-World Use Cases for SAP Databricks in BDC: Some example use cases summarised.
Part 6 — Cash Forecasting Example Walkthrough: A walkthrough from subscribing to the BDC Intelligent Application, through Delta Sharing, model training in SAP Databricks, sharing results back to BDC, and surfacing in the results using Datasphere inside SAC reports.
For years, SAP customers have faced a familiar challenge: rich, high-quality business data locked inside ERP and line-of-business systems, difficult to extract, expensive to replicate, and often arriving too late to drive meaningful decisions. The emergence of AI and machine learning has only sharpened that challenge. Building a reliable AI model demands not just data volume, but data quality, business context, and governance — the very things that traditional ETL-and-copy approaches erode.This blog is explaining how you can extend AI, machine learning and predictive from SAP Analytics Cloud using SAP Databricks that is part of SAP Business Data Cloud.Here is a summary of what each section covers:Part 1 — SAP Business Data Cloud: Explains what BDC is.Part 2 — What Is Databricks: Covers what Databricks is.Part 3 — SAP Databricks in BDC: Explains the embedded, SAP-managed nature of the integration and why it matters when creating machine learning or predictive models.Part 4 — Why Databricks Beyond SAC: Where Databricks helps beyond the AI, machine learning and predictive inside SAP Analytics Cloud.Part 5 — Real-World Use Cases for SAP Databricks in BDC: Some example use cases summarised.Part 6 — Cash Forecasting Example Walkthrough: A walkthrough from subscribing to the BDC Intelligent Application, through Delta Sharing, model training in SAP Databricks, sharing results back to BDC, and surfacing in the results using Datasphere inside SAC reports. Read More Technology Blog Posts by SAP articles
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