Monday 27 May 2024

Integration Between SAP Datasphere and SAP Analytics Cloud


This blog series discusses the integration between SAP Datasphere with SAP Analytics Cloud for data harmony. I aim to provide an overview of SAC, discuss the process of establishing both live and OData connections between SAC and Datasphere, explore Optimized Design Experience, delve into the current planning capabilities bridging these two products, and more.
In this introductory blog, I want to provide an overview of the following key aspects for integrating data between SAP Datasphere and SAP Analytics Cloud:

◉ Understanding SAP Analytics Cloud (SAC)

◉ Exploring the advantages of SAC compared to other reporting tools.

◉ Elevating your data connection experience - guidance on setting up the data connection for optimal functionality.

Understanding SAP Analytics Cloud

SAP Analytic Cloud (SAC) is a cloud-based solution developed by SAP. It offers a comprehensive and robust suite of analytics capabilities. This allows businesses to analyze, visualize, plan, and predict data across various sources in real-time, including SAP Datasphere.

Why SAC over any Other Reporting Tool? The Unrivalled Champion of Analytics

◉ SAC integrates seamlessly with the SAP Ecosystem. If your business is heavily invested in the SAP ecosystem, SAC offers tighter integration and support compared to other tools. Users can leverage their existing infrastructure (SAP HANA, SAP BW, and SAP S/4HANA etc.) This makes SAC a more natural choice for SAP-centric environments.

◉ SAC eliminates the need for multiple tools. Unlike other analytic tools, SAC provides a unified, “all-in-one” platform for analytics, planning and predictive capabilities.

◉ SAC provides an intuitive UI with easy-to-use drag-and-drop functionality. For those with more technical expertise, SAC allows for scripting capabilities.

Elevating Your Data Connection Experience

The first step we need to take for working with data from Datasphere within SAC, is setting up the connection. This connection will act as the link or ‘handshake’ between the two systems. We want to connect Datasphere as a remote live connection to our SAC tenant.

Step 1. Add Datasphere and SAC as ‘Trusted Origins’ with each other.

This security-based concept establishes a trusted relationship between the two platforms. This enables secure communication and data exchange, ensuring that requests and responses between Datasphere and SAC are authenticated and authorized. This in return, enhances overall data integrity and protection. To do this, go to System >> Administration >> App Integration and simply paste the URL from the other tenant in the Trusted Origins space.

Integration Between SAP Datasphere and SAP Analytics Cloud - Blog 1

Step 2. Configure the link between the two tenants.

When you link your tenants, you’ll be able to easily navigate between the two tenants. You’ll be able to switch between Datasphere and SAC in the top right-hand corner of the screen. Configuring the link between the two tenants fosters collaboration, efficiency, and a unified user experience for businesses leveraging these platforms. Go to System >> System Configuration >> Link My Tenants

Integration Between SAP Datasphere and SAP Analytics Cloud - Blog 1

Once this functionality has been properly configured, users gain the ability to effortlessly navigate between the connected tenants by utilizing the Product Switch menu located in the top shell bar, as illustrated below. If the user is working on a project using both tenants, the Product Switch menu optimizes their productivity and reduces the time required for task-switching. Overall, it contributes to a smoother and more intuitive UI, ultimately enhancing user satisfaction and productivity.

Integration Between SAP Datasphere and SAP Analytics Cloud - Blog 1


In this blog series introduction, we've highlighted the seamless integration between SAP Datasphere and SAP Analytics Cloud (SAC). The benefits of choosing SAC, its intuitive and easy-to-follow UI, and the key steps for setting up the data connection have been outlined. Keep an eye out as we continue to explore and unlock the full potential of SAC and Datasphere for enhanced data and analytics solutions!

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