BearingPoint - SAP Data Analytics
Realize sustainable business value from your data.
We empower businesses to unlock value from their data by designing and implementing tailored data pipelines and platforms, ensuring timely, secure, and compliant access to high-quality data in the right format and location, while adhering to stringent security and data privacy regulations, thereby fostering informed decision-making and strategic growth.
With our extensive expertise, we enable seamless integration through the whole landscape - from SAP-Systems, SAP Analytics Cloud, and SAP Datasphere to non-SAP systems such as Google, AWS, and Microsoft. By designing fit-for-purpose solutions, we bridge the gap between data availability, business insight, and operational agility, catalyzing sustainable competitive advantages.
Challenges for analytics and planning landscapes
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SAP Datasphere - the innovative Cloud Analytics and (Gen)AI Platform?
- SAP Datasphere is a cloud analytics platform and allows to integrate a lot of new analytics services and therefore new features e.g. (Gen)AI
- With the variety of all the new services and features it is necessary to identify which services are actually needed
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Continuity of reporting and planning during a S/4HANA roll-out is paramount
- Ensuring consistent reporting and planning capability at all times
- Having a clear roadmap for reporting and planning
- Missing data
- Setting up operational reporting in S/4HANA with Fiori Apps and CDS Views
- Not considering further optimization of the reporting and planning landscape by SAC
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End of mainstream maintenance in 2027 for SAP BW 7.x
- BI strategy and roadmap unclear, e.g. use of Datasphere with Bridge
- Green, brown, or mixed approach for upgrading BW 7.X, AfO
- Ensuring reporting capability at all times is not guaranteed
- Inventory and prioritization of all objects to be migrated are not available
- Takeover vs. new construction of e.g. data flows is not defined
- Transition scenarios for the parallel operation of reporting applications are missing
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Future-proof BI Analytics - BW/4 vs. Datasphere vs. Fiori Apps
- SAP BW customers have the options to upgrade/migrate to BW/4HANA, replace BW with Datasphere, replace BW with SAP Fiori, or use combinations
- Features, pros and cons for each option are not known
- A clear picture of the future analytics requirements is unknown
- Educated decisions cannot be taken
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BW migration strategy - Smart combination of old and new data structures
- With S/4 transformations often come structural changes in the business data
- S/4 rollouts can take a long time, and the combination of old and new data is necessary in order to enable continuous reporting
- The different options to combine data need to be evaluated and for each field, it needs be decided which option is best
Our competencies and services
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250 + experts in Europe
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300+ projects and success stories
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80+ certified advisors
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BI-Architecture and Implementation from a very experience analytics consultancy
- Selecting and orchestrating the right SAP BI-components to cover also the future analytics requirement
- Setting the right mix of operational day-by-day reporting using embedded FIORI-Analytics and strategic management reporting on corporate level with SAP BW/4
- Apply state of the art SAP BI-technology like virtual, real-time data provision with LSA++
- Gain maximum efficiency with optimal mixed of cloud data from hyperscaler with transactional S/4 data in SAP Datasphere
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Individual BW Migration Approach to develop your new BI Landscape
- Definition of a BW migrations strategy with best mix of existing data models and new green field reporting data
- Optimal combination between green field and brown field (in-place, conversion or shell-migration)
- Ensuring reporting continuity during a SAP S/4 Roll-out: Smart combining of old and new data for consistent reporting during the roll-out
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Maximum benefit from latest SAP SAC features
- Introducing augmented analytics, planning and easy self-service with SAC
- Impress management with dashboards and digital boardrooms
- Introducing individual customized management reporting apps with the SAC Analytical Application Designer and scripting
- Highest gain from applying newest visualization technology
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A value-driven KPI framework for a data-driven company
- BearingPoint uses a proven methodology to define and implement an SAP data-driven KPI performance framework
- Starting with the definition of company-specific and data-driven KPI for all management levels
- Applying tools for instant identification of the required KPI-data in the SAP source systems like SAP S/4, C4C, Success Factors, GTS, EWM etc.
- Efficient implementation by exploiting full benefits of SAP standard content
- Featuring standard dashboards (IBCS) and SAP Digital Boardroom for multi-screen visualization with SAC
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Advanced Analytics – Actionable AI with SAP data
- Discover advanced insights in your reporting data by applying SAC- embedded AI functionalities like smart insight, data discovery or regression analysis
- Using BPT, HANA PAL or python-based AI models in a SAP Datasphere environment for integrated analysis of SAP transactional and unstructured non-SAP data
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Data Management 2.0 – Realize value from your SAP data
- Definition and Implementation of an overall data strategy
- Integration of a data governance for the major data products
- Introduction of a data catalog for data transparency and data literacy
