Review Summary
See a synthesized overview of the key takeaways from verified reviews of Analytics Cloud in SAP Business Data Cloud.
See a synthesized overview of the key takeaways from verified reviews of Analytics Cloud in SAP Business Data Cloud.



SAP was founded in 1972 and is headquartered in Walldorf, Germany. The company employs over 105,000 people globally and develops software solutions for enterprise resource planning (ERP) and related business functions. SAP’s early products, SAP R/2 and SAP R/3, were widely adopted for managing core business processes. Its current ERP platform, SAP S/4HANA, uses in-memory computing to support data-intensive operations and integrates capabilities such as artificial intelligence and machine learning. SAP offers a portfolio of software applications that support various business functions across industries. These applications are designed to operate on a unified digital platform. As of 2025, SAP reports over 230 million cloud users and provides more than 100 solutions. The company’s offerings are used by organizations to manage finance, human resources, procurement, supply chain, and other operational areas.
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Based on the SAC tool, I consider the following standout features as the most useful for us: The tool is highly intuitive, allowing end users to feel comfortable creating their own visualizations and exploring data without constant IT department dependency. Having BI, augmented analytics and financial planning in one single cloud solution simplifies the landscape significantly. Connectivity options: At the beginning of the tenant acquisition we performed a project based on enabling connections to SAP and Non-SAP datasources with the intention of being agile. It has let us not loose time in this kind of facts that sometimes it was a struggle for us. The AI driven insights and automated forecasting help us to discover hidden patterns without needing a data science background. SAC offers to us a low TCO, as we do not need to install and maintain desktop software on users' desktops, this has eliminated the technical burden of manual updates and ensures that every user is always working on the latest version of the platform, significantly reducing IT maintenance efforts.
I like the ease of use, the analytics part (how much are dashboards actually used?), and the way it allows for sending out reports via e-mail.
Strong improvements in live data processing and performance optimization in recent releases. The strategic direction towards Datasphere integration and unified semantic modeling. Good alignment with SAP's broader ecosystem and security model.
Strategic Product Roadmap, SAP should have unified its BI strategy much earlier. For years, the BI ecosystem was fragmented across multiple tools, which allowed competitors to gain significant market share. Initial Pricing Strategy, at the early stages of its launch, the licensing costs for BI usage were significantly high, which created a high barrier to entry. This premium pricing allowed more affordable competitors to gain a stronger foothold in the market.
The star shaped data model as opposed to the spider's web data model of other products, the difficulty of finding solutions to practical issues, and the new layout of the builder and styling panels without colors that stand out.
Inconsistent feature delivery & decommissioning. Lack of Patch visibility and communication. Migration Gap: BW Live to Datasphere (especially the lack of a built-in method to replace BW live data models with Datasphere models. Missing capabilities (Initial view concept, control over processing groups, multiple startup events: on variable initialization/On Startup/On background processing/On before prompt submit, etc.)