Why SAP Embedded Analytics is critical for end customers
Traditional BI landscapes often deliver solid reports—but too late, too far removed from operational processes,
or only for a limited group of users.
SAP Embedded Analytics follows a different approach:
KPIs are built directly on the S/4HANA data model,
semantically defined via CDS Views,
and consumed in Fiori apps or SAPUI5 applications.
The result: fewer data copies, clear KPI logic, high performance,
and analytics exactly where users work every day.
Services as an SAP Embedded Analytics Freelancer
CDS Views for Embedded Analytics (S/4HANA)
I design and implement SAP CDS Views following proven layering concepts
(Basic, Composite, Consumption), including:
- clean KPI semantics
- analytical queries & annotations
- authorizations (DCL)
- performance optimization
The goal is a stable, maintainable analytics layer directly within the S/4HANA core.
Analytics consumption with SAP Fiori & SAPUI5
Embedded Analytics only delivers value when properly consumed.
I support the implementation of:
- Fiori analytical apps
- custom SAPUI5 analytics applications
- CDS-based OData services
- role-based navigation & UX
Focus: ease of use, clear KPIs, and fast response times—even with large data volumes.
KPI Design & Governance in an S/4 context
Embedded Analytics only works with clearly defined KPIs.
I facilitate KPI workshops with business departments and translate the results
directly into CDS-based data models.
Scope & Integration with BW / Datasphere / SAC
Embedded Analytics does not replace every BI requirement.
I support a clear and pragmatic separation:
- Embedded Analytics for operational and role-based use cases
- BW/4HANA or Datasphere for harmonized, cross-system data models
- SAC for planning, simulation, and management reporting
Typical Embedded Analytics Use Cases
- Operational KPIs directly in Fiori (e.g. orders, delivery status, backlog)
- Finance Embedded Analytics (P&L, cost centers, cash flow)
- Sales analytics within sales-related Fiori apps
- Logistics & supply chain KPIs (OTIF, inventory)
- Role-based analytics without a separate BI tool
Result: Analytics without media breaks
SAP Embedded Analytics reduces alignment effort, KPI discussions,
and decision latency—because numbers are visible
exactly where processes take place.
FAQ about SAP Embedded Analytics
Do you work tool-agnostic or exclusively within the SAP environment?
The focus is on SAP Embedded Analytics and the SAP data & analytics stack:
S/4HANA Embedded Analytics (CDS Views, Analytical Queries, OData),
SAP Fiori / SAPUI5 as the frontend layer, and—depending on the target architecture—
SAP BW/4HANA, SAP Datasphere, and SAP Analytics Cloud (SAC).
The goal is consistent semantics and a stable consumption layer, enabling KPIs to be used
operationally in Fiori and strategically in reporting and planning.
Do you support KPI workshops and CDS-based implementation?
Yes. KPI workshops are often the starting point for a One Version of Truth.
I structure KPI definitions (terms, period logic, currencies, hierarchies), define ownership,
and translate the results into a robust semantic layer—for example using
CDS Views (Basic / Composite / Consumption), suitable Analytical Queries,
authorizations, and OData exposure for Fiori.
What does Embedded Analytics in Fiori look like in practice?
KPIs are typically provided directly in SAP Fiori—for example via analytical lists,
KPI tiles, and drill-down-enabled analyses—based on CDS and OData.
I focus on clean role and authorization concepts, performance, and a UX that avoids a “dashboard graveyard.”
Is remote collaboration possible (Germany & worldwide)?
Yes. A remote-first setup is possible—in Germany and worldwide.
Workshops (KPIs, data models, authorizations) can be conducted remotely; on-site sessions are possible
for key phases. The approach and governance are tailored to the organization and operating model.