Process Mining Software: Governed Evaluation Guide

Decision context

Process mining software is increasingly essential for organizations seeking to understand and optimize their SAP ERP processes. Unlike generic tools, Adranum’s process mining software specializes in ingesting authorized SAP evidence such as readiness checks, ATC results, ABAP and DDIC analyses, and process-event data. This SAP-centric approach ensures that the insights and dependency mappings reflect the actual system state and codebase.

Adranum’s software goes beyond visualization by supporting governance in SAP modernization projects. It enables keep/replace/remediate/retire decisions based on observed and inferred dependencies, and generates reviewable proposals for code and data changes. This capability is critical for SAP architects who must balance modernization goals with system stability and compliance.

Furthermore, the software coordinates complex workflows including cutover, reconciliation, continuity, and exact-state recovery. It records human approvals and manages content-addressed implementation packages and impacted tests. This governance framework helps reduce risk and maintain traceability throughout SAP change initiatives.

SAP-Centric Evidence Integration

Adranum’s process mining software uniquely ingests multiple authorized SAP evidence sources. These include SAP readiness assessments, ABAP Test Cockpit (ATC) results, ABAP and DDIC code analyses, abapGit repository data, process-event logs, requirements, data quality checks, and connector evidence. By consolidating these inputs, the software provides a comprehensive and accurate view of the SAP system’s current state.

This evidence-driven approach ensures that missing or unsupported inputs remain visible, preventing blind spots in process discovery and impact analysis. It also enables mapping of both observed and inferred dependencies across code, data, and processes, which is crucial for informed decision-making in SAP modernization.

• Supports SAP readiness, ATC, ABAP, DDIC, abapGit, process-event, requirement, data-quality, and connector evidence
• Reports coverage gaps and unsupported inputs for transparency
• Maps observed and inferred dependencies to reveal impact and risk

Governed Decision Support for Modernization

The software facilitates critical keep, replace, remediate, or retire decisions by generating reviewable proposals for code and data changes. These proposals are not final until customer-controlled compilation and runtime checks succeed, preserving customer control and reducing risk.

Human approvals are recorded systematically, ensuring accountability and traceability. This governance layer supports compliance requirements and helps coordinate multi-stakeholder modernization projects where decisions must be reviewed and agreed upon before execution.

• Creates reviewable code and data change proposals
• Records human approvals for accountability
• Supports compliance and multi-stakeholder coordination

Coordinated Modernization Workflows

Adranum’s software manages complex SAP modernization workflows including cutover planning, reconciliation, continuity assurance, and exact-state recovery. It generates content-addressed implementation packages and identifies impacted tests, streamlining deployment and validation.

By coordinating these workflows, the software reduces operational risk and supports continuity during SAP change initiatives. It also produces compile, runtime, test receipts, and reconciliation evidence to document the modernization process end to end.

• Coordinates cutover, reconciliation, continuity, and exact-state recovery
• Generates content-addressed implementation packages and impacted tests
• Produces comprehensive evidence including receipts and reconciliation data

Process Variant and Bottleneck Analysis

Beyond code and data, the software analyzes observed process variants and bottlenecks within SAP workflows. It supports immutable simulations and tracks improvement history, enabling continuous process optimization.

This process intelligence capability helps SAP architects identify inefficiencies and validate modernization impacts in a controlled, evidence-based manner.

• Analyzes observed process variants and bottlenecks
• Supports immutable simulations for scenario testing
• Tracks process improvement history for ongoing optimization

Customer-Controlled Data and Security

A signed customer operator can retain raw service data, source code, and credentials within their own infrastructure. The software returns only bounded commands, hashes, aggregate outcomes, and evidence, minimizing data exposure.

This design aligns with stringent SAP security and compliance requirements, ensuring that sensitive information remains under customer control throughout the modernization lifecycle.

• Keeps raw data and credentials inside customer infrastructure
• Returns bounded commands, hashes, and aggregate outcomes
• Supports compliance with SAP security policies

What the workflow must cover

• Comprehensive SAP Evidence Ingestion. Ingests multiple authorized SAP evidence types to provide a detailed and accurate system state for process mining and dependency mapping.
• Dependency Mapping and Impact Analysis. Maps observed and inferred dependencies across SAP code, data, and processes to support risk-aware modernization decisions.
• Governed Change Proposal Generation. Creates reviewable proposals for code and data changes with recorded human approvals to ensure accountability and compliance.
• Workflow Coordination for Modernization. Manages cutover, reconciliation, continuity, and exact-state recovery workflows with content-addressed packages and impacted test identification.
• Process Variant and Bottleneck Insights. Analyzes process variants and bottlenecks using immutable simulations and tracks improvement history for continuous optimization.
• Customer Data Sovereignty. Enables customers to keep raw service data and credentials within their infrastructure, returning only controlled evidence and outcomes.

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 consolidate evidence to map observed and inferred dependencies
3. Generate keep/replace/remediate/retire proposals for code and data changes
4. Review and approve proposals with recorded human approvals
5. Create content-addressed implementation packages and identify impacted tests
6. Coordinate cutover, reconciliation, continuity, and exact-state recovery workflows
7. Produce compile, runtime, test receipts, and reconciliation evidence for traceability

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 assessment reports
• ABAP Test Cockpit (ATC) results
• ABAP and DDIC code analysis outputs
• abapGit repository snapshots
• Process-event logs and variants
• Requirements and data quality reports
• Connector evidence and interface mappings
• Review and approval records
• Content-addressed implementation packages
• Compile, runtime, test receipts, and reconciliation evidence

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.

• Does not replace SAP licensing or Basis administration
• Generated code proposals require customer compilation and runtime validation
• Does not substitute specialized testing products in all scenarios
• Missing or unsupported inputs remain visible and must be addressed by customers

Public comparison sources

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

• What is Process Mining? Definition and benefits
• Best Process Intelligence Platforms Reviews 2026
• Process Mining Tool
• Process Mining Software Comparison
• What is process mining? Why it matters & how to get started

Buyer checklist

• Which SAP evidence sources does the software support ingesting?
• How does the software map dependencies and identify impact?
• What governance features support human approvals and compliance?
• How are modernization workflows coordinated and documented?
• Can raw data and credentials remain inside customer infrastructure?
• What process variant and bottleneck analyses are available?
• How does the software handle missing or unsupported inputs?
• What integration exists with SAP testing and transport management?