Strategy and Execution: Closing the Gap

⇨ Business intelligence strategy and execution is critical to enabling cross-organizational objectives.

⇨ Multi-tier, source neutral platforms such as SAP Datasphere can help overcome landscape complexity challenges

⇨ All stakeholders should participate in business intelligence strategy, requirements, and target outcome definition

For SAP Datasphere, “The end-to-end data story has evolved over time with respect to strategy, requirements, and deployment,” writes Laura Mikovshy in the Summer Issue of SAPinsider magazine.

Prior SAPinsider research, including our 2022 Analytics in the Cloud Benchmark Report, illustrated that organizational business intelligence drivers and strategies intended to address those drivers are well-founded, but face various challenges in strategy realization.

In recent years, the business intelligence market pivoted from on-premise solutions to managed cloud and Software-as-a-Service (SaaS) constructs for infrastructure, data store, technology platforms for data management, extraction, transformation, and load (ETL), data assembly and staging, application integration, and business user-centric, low-code/no-code data consumption

SAP Datasphere, announced in March 2023, represents the next step forward in SAP’s approach to data fabric enablement. From a productized perspective, SAP Datasphere is the next evolution of SAP Data Warehouse Cloud (SAP DWC), which is central to capabilities enabled by SAP Business Technology Platform (SAP BTP).

SAP Datasphere goes beyond what was enabled by SAP DWC with source data neutrality and data ecosystem partnerships in a three-tier construct that is similar to competitor offerings with data consumption tier, or “front end” of the data story that enables business users to access, analyze, and visualize data; a platform tier, including SAP Datasphere running in SAP Business Technology Platform (BTP); and a data tier that enables data from SAP and non-SAP data from any source or location.