In today’s digital enterprise, the ability to transform raw data into actionable insights is critical. SAP offers a powerful combination of tools to meet this need — SAP Data Warehouse Cloud (DWC) and SAP Analytics Cloud (SAC). Together, these two solutions form a tightly integrated, end-to-end platform for data warehousing, modeling, and analytics, enabling organizations to move from data to decisions with greater speed and confidence.
This article explores how SAP Analytics Cloud integrates with SAP DWC, key features of the integration, and the value it delivers to both business users and IT.
SAP Data Warehouse Cloud (SAP DWC) is a cloud-native, scalable, and elastic data warehouse designed for both business users and IT. It provides tools for data integration, modeling, and governance, and allows users to combine data from SAP and non-SAP sources in a secure, virtualized environment known as Spaces.
SAP Analytics Cloud (SAC) is an all-in-one analytics platform that combines business intelligence (BI), planning, and predictive analytics. It enables users to build dashboards, visualizations, and forecasting models using real-time data from various sources, including SAP DWC.
By connecting SAC with SAP DWC, organizations unlock several benefits:
One of the most powerful features of SAC is its live data connection with SAP DWC. This means users can build dashboards in SAC that query data models in DWC in real time — without replicating data into SAC.
Benefits:
- Real-time analytics
- Centralized data governance
- Reduced data redundancy
SAP DWC supports the creation of Analytical Datasets and SQL Views, which are semantically rich models designed for reporting. These can be exposed directly to SAC for use in visualizations and dashboards.
Example: A business user creates a Sales Performance model in DWC. That model is consumed in SAC to build dynamic, real-time performance dashboards.
With unified identity and access management via SAP BTP, user roles and authorizations in DWC are respected when accessing data from SAC. This ensures secure, role-based data access across both platforms.
Business semantics created in DWC (like calculated measures, KPIs, and hierarchies) are reusable in SAC. This promotes consistency in definitions and eliminates duplication of effort.
Executives can monitor KPIs such as revenue, operating margin, or supply chain status in real time by combining DWC’s live data modeling with SAC’s dynamic dashboards.
Leverage DWC as a single source of truth for finance data, and use SAC for integrated financial planning, forecasting, and variance analysis.
Model sales pipelines or campaign effectiveness in DWC and visualize conversion rates, customer segments, or churn analysis in SAC.
DWC aggregates operational data from ERP and external systems; SAC displays real-time metrics and alerts for logistics, procurement, or manufacturing processes.
Note: Ensure both SAC and DWC tenants are connected to the same SAP Identity Authentication Service (IAS) for single sign-on (SSO) and seamless integration.
SAP Analytics Cloud and SAP Data Warehouse Cloud are better together. The synergistic integration between these two solutions empowers organizations with real-time, governed, and business-friendly analytics. Whether you're a data engineer designing complex data flows or a business analyst building visual dashboards, the SAC + DWC combination provides a flexible, scalable, and intuitive analytics environment that drives better business outcomes.