In today’s fast-paced data-driven enterprise environment, reporting is not just about static dashboards and spreadsheets. It’s about real-time, contextual insights that empower decision-makers at every level. SAP has transformed its analytics landscape with the introduction of SAP Data Warehouse Cloud (DWC) and SAP Analytics Cloud (SAC)—two powerful, cloud-native solutions that together redefine enterprise reporting.
This article explores advanced reporting techniques that leverage the full potential of SAP DWC and SAC, helping businesses deliver deeper insights and foster a truly intelligent enterprise.
SAP Data Warehouse Cloud (DWC) is a modern data warehousing solution built on SAP HANA Cloud. It combines data modeling, connectivity, and virtualization with a semantic layer. SAP Analytics Cloud (SAC) is SAP’s unified analytics platform that delivers BI, planning, and predictive analytics.
When used together, SAC connects seamlessly to DWC, enabling real-time access to governed, centralized data models for advanced reporting and analytics.
Adopting LSA++ modeling techniques within DWC allows for structured, reusable layers:
DWC allows users to build data models using drag-and-drop interfaces or SQL scripting. Combining graphical views with custom SQL scripts allows for:
The Business Layer in DWC enables modelers to define business-relevant semantics, making reporting simpler for non-technical users while ensuring data consistency.
One of the most powerful features of SAC when used with DWC is live connectivity, which avoids data replication and ensures users always access the most recent data.
SAC’s storytelling features let users build interactive dashboards, combining charts, maps, and tables with dynamic filters and input controls.
SAC leverages embedded ML capabilities:
Combine reporting with SAC Planning to allow what-if simulations and forecast models using DWC as the backend data source.
For scenarios requiring highly customized visualizations or logic:
This approach is ideal for:
Both DWC and SAC support role-based access control and row-level security, ensuring compliance and secure reporting across departments.
Use Case: A global company wants to monitor sales KPIs across regions with live data.
Steps:
Outcome: Executives can make real-time decisions based on current trends and predictive outcomes.
SAP DWC and SAC together provide a scalable, real-time analytics platform that supports both IT and business users. By embracing advanced reporting techniques—such as virtual data modeling, live connectivity, predictive analytics, and custom scripting—organizations can unlock deeper insights and agility across their operations.
As data complexity and business expectations grow, mastering these techniques is crucial for maximizing the value of your SAP analytics investment.