Analytics Legends The knowledge platform for SAP Analytics
Academy module

Clean Core Analytics

Clean Core Analytics extension ladder: in-app extension, BTP side-car, CDS extension view, and Z-table last resort, ordered from upgrade-safe to disruptive — architecture diagram for Clean Core Analytics, Analytics Legends Academy module M065

As of 2026-08-16

Edited by , sole editor and publication director — 27 years in the SAP ecosystem. How these pages are produced, and where automation is used.

Clean Core compliance is now contractually enforced on RISE with SAP deployments. Consultants who cannot classify extensions — distinguishing in-app extensions, BTP side-car patterns, stable CDS extension views, and non-compliant Z-table/SAPI extractors — create regression crises at every S/4 upgrade. The maturity scan (CCMIG / ATC) takes 1–2 days on a typical scope; the remediation design it enables saves months of emergency rework. Three failure modes account for > 85 % of Clean Core analytics incidents: CDS views on internal tables, Z-tables beneath Replication Flows, and SAPI extractors masquerading as a clean bridge.

What you will learn

  • Classify all existing analytics-related custom code on an S/4 engagement using the Clean Core maturity scan (CCMIG / ATC rules) — distinguishing in-app extensions, BTP side-car patterns, stable CDS extensions, and non-compliant Z-table/SAPI extractors
  • Apply the Clean Core analytics extension ladder to design upgrade-safe custom analytics objects: custom fields via the Custom Fields & Logic app, CDS extension views on released VDM interfaces, and BTP side-car patterns for complex logic
  • Diagnose and remediate the three principal Clean Core failure modes — CDS views on internal tables, Z-tables beneath Replication Flows, and legacy SAPI extractors — producing a remediation brief with effort estimate and compliance risk
  • Produce a Clean Core compliance assessment for an analytics extraction scope: for each extractor, classify compliance level, identify the refactoring path, and estimate the upgrade-risk cost of non-remediation

Clean Core is SAP's mandate for S/4HANA Cloud and, increasingly, the practical prerequisite for any Datasphere or BDC deployment that expects to receive continuous innovation updates without a regression crisis every release cycle. Understanding what Clean Core means precisely — and enforcing it at the analytics layer specifically, not just in the transactional application — is now a first-class skill on every S/4 migration engagement, and it is a skill that shows up directly in whether a client's analytics platform survives its next upgrade intact.

Clean Core defined, for analytics specifically

Prerequisites

  • Intermediate hands-on experience on SAP analytics projects
  • Review core concepts first: C033, C032, C035

Outcomes

  • Understand the core concepts behind clean core analytics
  • Apply Clean Core in a typical SAP analytics engagement
  • Explain the core architecture and decision points for Clean Core Analytics
  • Apply a repeatable implementation pattern in a 15-minute lab format

Full module available to members. The full module adds: the decision framework · the end-to-end scenario walkthrough · the KPI scorecard · the anti-patterns · the code blocks · the knowledge check · the diagrams.

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