SAP Landscape Consolidation: Controls, Validation, and Recovery

Decision context

SAP landscape consolidation involves merging multiple SAP systems or clients into a streamlined, unified environment to reduce complexity, improve data consistency, and optimize operational costs. This process requires careful coordination of code, data, and process artifacts to maintain system integrity and business continuity.

Adranum supports SAP landscape consolidation by ingesting authorized SAP readiness, ATC, ABAP, DDIC, abapGit, process-event, requirement, data-quality, and connector evidence. It maps dependencies and supports decisions to keep, replace, remediate, or retire components, ensuring that consolidation proposals are evidence-based and reviewable.

The platform facilitates controlled cutover, reconciliation, continuity, and exact-state recovery, with signed customer operators retaining raw data and credentials within their infrastructure. This governance model reduces risk and supports compliance during consolidation projects.

Evidence-Driven Consolidation Planning

Adranum collects comprehensive SAP evidence including static code analysis, data dictionary inspections, and process event logs to build a detailed inventory of landscape components. This evidence base enables accurate mapping of interdependencies and identification of unsupported or obsolete elements.

By integrating multiple evidence sources, Adranum highlights coverage gaps and unsupported inputs, allowing planners to prioritize remediation or retirement. This approach ensures that consolidation decisions are grounded in verifiable system state rather than assumptions.

• Ingest SAP readiness and ATC scan results
• Analyze ABAP code and DDIC structures
• Correlate process-event and requirement data
• Identify unsupported or missing inputs

Dependency Mapping and Impact Analysis

Understanding dependencies between SAP objects, custom code, and interfaces is critical during consolidation. Adranum automatically maps observed and inferred dependencies to visualize impact across the landscape.

This dependency graph supports informed decisions on whether to keep, replace, remediate, or retire components. It also aids in identifying impacted tests and generating implementation packages that reflect consolidated system state.

• Automatic dependency extraction from SAP evidence
• Visualization of code and data relationships
• Support for keep/replace/remediate/retire decisions
• Generation of impacted test lists

Governed Code and Data Proposals

Consolidation often requires code and data adjustments to harmonize merged systems. Adranum generates reviewable proposals for code changes and data transformations based on evidence and dependency analysis.

These proposals remain editable and require customer-controlled compilation and runtime validation before production deployment, ensuring that no changes are applied without explicit approval and verification.

• Creation of code and data modification proposals
• Support for customer review and approval workflows
• Integration with compilation and runtime checks
• Tracking of human approvals

Controlled Cutover and Continuity Management

Adranum orchestrates cutover activities with precise coordination of reconciliation, continuity, and exact-state recovery steps. This minimizes downtime and ensures business continuity during consolidation.

The platform records detailed reconciliation evidence and receipts, enabling traceability and auditability of cutover processes. Signed operators retain full control over raw data and credentials throughout cutover.

• Cutover coordination and scheduling
• Reconciliation and exact-state recovery support
• Continuity management during consolidation
• Audit trails and evidence recording

Customer-Controlled Data Security and Privacy

Adranum’s architecture ensures that all raw service data, source code, and credentials remain within the customer’s infrastructure. Only bounded commands, hashes, aggregate outcomes, and reconciliation evidence are transmitted externally.

This design reduces security risks and supports compliance with data privacy policies, as sensitive information never leaves the customer environment without explicit control.

• Retention of raw data and credentials on-premises
• Transmission limited to bounded commands and hashes
• Support for compliance and data privacy requirements
• Reduction of external data exposure risk

What the workflow must cover

• Comprehensive SAP Evidence Ingestion. Adranum ingests multiple SAP evidence types including readiness checks, ATC results, ABAP and DDIC analysis, process events, and connector data to build a holistic view of the landscape.
• Automated Dependency Mapping. The platform automatically extracts and visualizes dependencies among SAP objects, custom code, and data, enabling impact analysis for consolidation decisions.
• Proposal Generation for Code and Data Changes. Adranum creates reviewable proposals for code remediation, replacement, or retirement and data transformations, supporting customer validation before deployment.
• Cutover and Reconciliation Orchestration. It coordinates cutover activities with detailed tracking of reconciliation steps, continuity management, and exact-state recovery to minimize risk during consolidation.
• Customer Data Sovereignty. Raw service data and credentials remain within the customer’s infrastructure, ensuring security and compliance while only bounded commands and aggregate results are exchanged externally.
• Process Variant and Bottleneck Analysis. Adranum analyzes observed process variants and bottlenecks to identify consolidation improvement opportunities and simulate immutable scenarios for decision support.

Implementation workflow

Start with a bounded customer scenario and explicit acceptance criteria. Preserve native SAP permissions and accountable review while the software creates a repeatable evidence chain.

1. Collect authorized SAP evidence including readiness, ATC, ABAP, DDIC, and process-event data
2. Ingest and correlate evidence to map dependencies and identify unsupported inputs
3. Generate keep/replace/remediate/retire decisions with reviewable code and data proposals
4. Coordinate customer review and approval of proposals with compilation and runtime validation
5. Plan and schedule cutover activities with reconciliation and continuity steps
6. Execute cutover with detailed evidence recording and exact-state recovery support
7. Perform post-cutover reconciliation and continuous monitoring for stability

Evidence to require

A transformation claim should resolve to observable artifacts, decisions, and execution receipts. Ask for the following evidence in a representative evaluation:

• SAP readiness check reports
• ATC static code analysis results
• ABAP and DDIC inventory scans
• abapGit source control snapshots
• Process-event logs and requirement mappings
• Data quality assessments
• Connector interface inventories
• Dependency graphs and impact analyses
• Code and data change proposals
• Cutover reconciliation receipts and audit trails

Boundaries and non-claims

Adranum separates analysis, proposal, human review, package creation, customer-local validation, and production execution. A later state never rewrites the evidence that supported an earlier decision.

• Adranum does not replace SAP licensing or Basis administration
• Generated code proposals require customer compilation and runtime validation
• Not a substitute for specialist testing tools in all scenarios
• Does not provide autonomous production deployment without customer control

Public comparison sources

Competitor statements are limited to current public materials. Verify them during procurement because products and packaging change.

• System Consolidation
• Dell Solution for SAP Landscape Consolidation
• Session 5: SAP S/4 Hana System Landscape Consolidation ...
• Solutions Designed for SAP Landscape Consolidation
• SAP Landscape Transformation | Simplify Technology ...

Buyer checklist

• What SAP evidence types are supported for ingestion?
• How does Adranum map and visualize dependencies?
• Can generated code proposals be modified before deployment?
• How is cutover coordinated and what evidence is recorded?
• Where does raw data reside during the consolidation process?
• What process improvement analyses are included?
• How does Adranum handle unsupported or missing inputs?
• What integrations exist with SAP testing tools?