SAP Data Journey From Source To Insight

Escape the data maze

Your SAP data journey from source to insight

SAP ecosystems today are more powerful and complex than ever. To reap maximum value from your SAP investments, you need more than point-to-point integrations. An orchestration layer ensures your data moves securely, efficiently and in sync across systems, teams and time zones.

This guide gives you the complete picture of how to build an automation fabric, including:

What breaks down when orchestration is missing
How to design end-to-end data flows across SAP and non-SAP systems
Where real companies are seeing value from the automation fabric approach

Why download this guide?

Leading a digital transformation, modernizing legacy systems or trying to make sense of fragmented automation? In this guide, you get a practical and strategic framework to get your data flowing, regardless of your environment and architecture.

Build an automation fabric across departments and platforms using real-world examples and pre-built templates for your industry.

Inside, you’ll find:

A foundational overview of SAP data orchestration — what it is, why it matters and how to get started

Five detailed industry use cases:

Manufacturing: How to fully orchestrate plan-to-produce from forecasting to MRP to stakeholder updates
Retail: What your forecasting-and-replenishment pipeline could look like when you reduce waste and meet real-time demand
Utilities: A breakdown of fluid meter-to-cash billing orchestration built on critical systems like SAP IS-U
Life sciences: Research modeling and clinical trial logistics, orchestrated across SAP and AI platforms
Financial services: Orchestration to keep regulatory reporting, billing and investment operations in sync

Why you need to fully orchestrate integration points with SAP S/4HANA, SAP Business Data Cloud, SAP Analytics Cloud, Databricks, Azure Synapse and more

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