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SAP Datasphere: Building a Unified Data Foundation

A 15-page ETS deck on SAP Datasphere (formerly SAP Data Warehouse Cloud) — data integration, governance and cataloging, semantic modeling and federation without replication, the data marketplace, measurable impact on time-to-insight and storage cost, industry use cases, and a four-step path to a governed real-time data foundation.
September 16, 2026 by
ETS, Inc.
This resource is available as a PDF

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SAP Datasphere enables companies to integrate, catalog, and govern data from SAP and non-SAP systems in real time while preserving the semantic meaning of data from core business systems like SAP ERP Cloud, SuccessFactors, Ariba, and Concur. Built on SAP BTP, it combines data integration, governance, modeling, and analytics enablement in one solution.

This ETS deck explains the four core capabilities and the key functionalities behind them: data federation that connects Snowflake, Databricks, BigQuery, and other sources without replication, a semantic modeling layer that keeps business meaning intact, a data marketplace for secure internal and external sharing, built-in catalog and lineage tracing for compliance, and BTP integration for AI, ML, and predictive insight.

It reports the measurable business impact companies cite — faster time-to-insight through unified semantic layers, lower storage costs via federation, reduced integration effort, improved governance, and higher analytics adoption — and applies Datasphere to manufacturing, retail and CPG, financial services, healthcare and life sciences, and utilities and energy.

The full deck is available above as a PDF and closes with the C-level value proposition, a four-step path (assess, define the vision, build the foundation, scale and optimize), and why to partner with ETS.

SAP Cloud PLM: Driving Cost Control and Revenue Accuracy
A 15-page ETS deck on SAP's cloud product lifecycle management — the digital thread from idea to service, enterprise product structure and CAD integration, product lifecycle costing, integrated development-to-revenue planning, change and configuration management, collaboration, how PLM reduces costs and improves forecasts, reported ROI, and trackable KPIs.