As organizations increasingly prioritize agility, the ability to access up-to-date data directly within an analytics platform is essential. With the help of SAP Analytics Cloud (SAC) users can analyze data from key SAP systems such as SAP BW/4HANA, SAP S/4HANA, and SAP Datasphere without any replication of data. This is possible due to the live connectivity feature of SAC.
This blog delves into SAP BW live access within SAC, showcasing how the platform integrates SAP BW’s advanced data structures and hierarchies while providing a high-performance analytics experience. It looks at each SAP data source individually and explains the unique capabilities and advantages of SAC.
SAP Analytics Cloud: A Complete Analytics & Planning Solution
Businesses can gain maximum value from their technology investment and critical business applications by deploying SAC. By leveraging live connectivity to SAP BW/4HANA, SAC facilitates real-time data interaction while preserving the integrity and sophistication of existing SAP BW models.
Advantages of Live Connectivity with SAP BW/4HANA
1. Seamless Integration: SAC connects effortlessly to SAP BW/4HANA with a plug-and-play setup, allowing quick access to powerful visualization and analytics tools without extensive configuration.
2. Reusability of SAP BW Queries: Existing SAP BW queries can be reused directly in SAC, eliminating the need to recreate Key Performance Indicators (KPIs) or reports. This ensures consistency and accelerates deployment.
3. Preserving Investments: Live connectivity utilizes established SAP BW components, including hierarchies, variables, and authorizations, to provide accurate and trusted analytics.
4. Enhanced Security and Governance: SAC inherits SAP BW’s robust security settings, ensuring data governance policies are maintained consistently.
5. Real-Time Insights: With live connectivity, SAC eliminates data extraction delays, enabling decision-makers to act on the most current data.
6. Consistent Data Governance: SAC ensures data governance settings from SAP BW, such as roles and masking policies, apply seamlessly, reducing the need for duplicate configurations.
7. Optimized for high performance and scalability: SAC efficiently processes large datasets and smoothly adapts to changing SAP BW models.
8. Familiar Structures: SAC recognizes SAP BW’s predefined hierarchies and structures, simplifying navigation and analysis for users.
9. Future-Ready Environment: SAC’s integration with SAP BW supports ongoing innovations, ensuring your analytics ecosystem remains adaptable and up-to-date.
10. Collaborative Features: SAC’s cloud-based environment facilitates real-time collaboration on dashboards and reports across teams and geographies.
Live Models and SAP BW Queries in SAC
SAC supports live modeling based on SAP BW queries, enabling users to create and analyze stories without data duplication. Existing BW query components, such as hierarchies, variables, and global key figures, are fully integrated, allowing IT and business teams to leverage years of SAP BW investments.
If your business is looking at leveraging the capabilities of SAC along with SAP BW, Gemini Consulting & Services can help you. Contact us to get a detailed roadmap for SAC implementation and its benefits.
- Linked Analysis: This feature creates relationships between charts, enabling dynamic interactions and synchronized actions across visualizations, even with live data.
- Support for SAP BW Variables and Variants: SAC processes SAP BW query variables and supports saved variants, allowing users to tailor data views to their needs.
- On-the-Fly Calculations: End users can perform dynamic calculations directly within stories, enhancing ad-hoc analysis capabilities.
- Data Analyzer: Designed for quick insights, SAC’s Data Analyzer allows users to explore live SAP BW data without predefined dashboards, maintaining data accuracy and governance.
- Working with SAP BW Hierarchies: SAC fully supports SAP BW hierarchies, allowing users to interact with familiar classification structures directly within their analytics environment.
- Tuple Filters: SAC supports complex filtering scenarios involving multiple dimensions, offering precision in data exploration.
Report-Report Interface (RRI) Integration
SAC enhances data navigation by integrating SAP BW’s Report-Report Interface (RRI), which enables seamless transitions between related reports. Configured in SAP BW’s backend, this feature allows users to navigate across reports effortlessly, improving workflow efficiency and enabling in-depth data analysis.
By adopting SAC with live SAP BW connectivity, organizations gain a unified analytics platform that enhances real-time decision-making, ensures data consistency, and preserves prior investments. The integration delivers a secure, high-performance environment for actionable insights, paving the way for a data-driven future.
Whether it’s creating live models, leveraging SAP BW queries, or exploring advanced features like linked analysis and dynamic calculations, SAC empowers teams to maximize the value of their data investments while driving agility and innovation in decision-making.
