Modern data fabric with Datasphere
SAP Datasphere evolved from Data Warehouse Cloud into a platform for semantic models and business-ready data products—often without copying every source.
Design principles
- Business language first, technical objects second
- Spaces and ownership aligned to domains
- Virtualize where freshness matters; materialize where performance demands it
- Connect analytics and planning consumers to the same products
AnalitikPro delivery
We map current BW and reporting debt, then introduce Datasphere data products in waves that reduce Excel shadow IT.
Practical notes for SAP enterprises in Türkiye
Many SAP organizations in Türkiye still run reporting and planning in parallel Excel worlds. The right SAP analytics layer delivers one version of truth, auditable processes and safe self-service. AnalitikPro designs that transition from Istanbul HQ and the Elazığ R&D office without wasting prior investment.
Go-live checklist
- Draw source-system and data-product boundaries
- Lock the business glossary with stakeholders
- Design access, audit and publish flows upfront
- Align planning and reporting on one backbone
- Place cloud and on-prem pieces in a hybrid design
This guide accelerates SAP analytics decisions. For a tailored roadmap, speak with AnalitikPro consultants.
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