Process Mining Tools: Governed Evaluation Guide

Decision context

Process mining tools analyze event logs and system data to reveal actual business process flows, bottlenecks, and variants. For SAP-centric ERP modernization, these tools must ingest diverse SAP evidence such as ABAP code, process-event logs, and data-quality metrics to provide actionable insights.

Choosing the right process mining tool requires assessing capabilities like SAP readiness ingestion, dependency mapping between processes and code, and support for governance workflows including remediation and retirement decisions. Tools vary widely in their integration depth and operational focus.

This page compares process mining tools based on their ability to support SAP ERP modernization by correlating process variants with technical artifacts, generating implementation proposals, and enabling exact-state recovery during cutover.

Core Data Ingestion and Integration

Effective process mining tools for SAP environments must ingest authorized SAP readiness data, ABAP source and dictionary information, and process-event logs to build a comprehensive process model. Integration with SAP connectors and abapGit repositories enhances coverage and accuracy.

Tools should report unsupported inputs explicitly to avoid blind spots in analysis. The ability to correlate process events with ABAP code and data dictionary elements is critical for understanding dependencies and impact.

• Ingest SAP readiness and ATC results
• Support ABAP and DDIC source integration
• Process-event log correlation
• Explicit unsupported input reporting

Dependency Mapping and Impact Analysis

Mapping observed and inferred dependencies between processes, code, and data enables informed decisions about which components to keep, replace, remediate, or retire. This capability is essential for minimizing risk during ERP modernization.

Tools should visualize dependency graphs and allow drill-down into impacted artifacts. Automated generation of change proposals based on dependency analysis accelerates review cycles and improves governance.

• Observed and inferred dependency graphs
• Keep/replace/remediate/retire decision support
• Change proposal generation
• Impact visualization

Governance and Approval Workflows

Governed ERP modernization requires recording human approvals and coordinating cutover, reconciliation, and continuity activities. Process mining tools that embed governance workflows help maintain compliance and traceability.

Support for exact-state recovery and reconciliation evidence ensures that changes can be rolled back or audited effectively, reducing operational risk during transitions.

• Approval recording and audit trails
• Cutover and reconciliation coordination
• Continuity and exact-state recovery support
• Reconciliation evidence generation

Simulation and Improvement Tracking

Immutable simulations of process changes allow teams to evaluate potential impacts without affecting production. Tracking improvement history documents the evolution of processes and code over time.

These capabilities enable continuous improvement and help validate remediation strategies before deployment.

• Immutable process simulations
• Bottleneck and variant analysis
• Improvement history tracking
• Pre-deployment validation

Packaging and Testing Integration

Generating content-addressed implementation packages and identifying impacted tests streamline deployment and quality assurance. Integration with testing frameworks ensures that changes are validated comprehensively.

This reduces manual effort and helps maintain consistency between proposed changes and tested outcomes.

• Content-addressed implementation packages
• Impacted test identification
• Compile/runtime/test receipt generation
• Testing framework integration

What the workflow must cover

• SAP Evidence Ingestion. Adranum ingests authorized SAP readiness, ATC, ABAP, DDIC, and process-event data to build a detailed process and code model for analysis.
• Dependency Mapping. It maps observed and inferred dependencies between processes, code, and data to support impact analysis and change decision-making.
• Governed Change Proposals. Generates reviewable code and data proposals with recorded human approvals to ensure governance and traceability.
• Cutover and Reconciliation Coordination. Coordinates cutover, reconciliation, continuity, and exact-state recovery activities with comprehensive evidence generation.
• Simulation and Bottleneck Analysis. Supports immutable simulations of process variants and bottleneck identification to validate improvements before implementation.
• Implementation Packaging and Testing. Creates content-addressed implementation packages and identifies impacted tests, generating compile/runtime/test receipts for quality assurance.

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 readiness, ATC, ABAP, DDIC, and process-event evidence from source systems.
2. Ingest and correlate data to build process and code dependency graphs, highlighting unsupported inputs.
3. Analyze dependencies to classify components for keep, replace, remediate, or retire decisions.
4. Generate reviewable change proposals and route for human approval with audit trails.
5. Simulate proposed changes immutably to assess impact and identify bottlenecks.
6. Package approved changes into content-addressed implementation bundles and identify impacted tests.
7. Coordinate cutover and reconciliation activities, capturing exact-state recovery and reconciliation evidence.

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 reports
• ABAP and DDIC source code snapshots
• ATC and static code analysis results
• Process-event logs with timestamps
• Dependency graphs and impact matrices
• Change proposal documents with approval records
• Simulation run logs and bottleneck reports
• Implementation package manifests and hashes
• Compile, runtime, and test receipts
• Cutover 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 responsibilities.
• Generated code proposals require customer-controlled compilation and runtime validation.
• Does not provide exhaustive specialist testing beyond impacted test identification.
• Missing or unsupported input data remains visible and may limit analysis completeness.

Public comparison sources

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

• What is Process Mining: Tools, Models, & Low-Code
• Best Process Mining Tools Compared (2026)
• Process Mining Tool
• What is Process Mining? Definition and benefits
• Best Process Intelligence Platforms Reviews 2026

Buyer checklist

• Does the tool ingest SAP readiness, ATC, ABAP, and DDIC data?
• How does the tool map dependencies between processes and code?
• Can it generate reviewable change proposals with approval workflows?
• Does it support exact-state recovery and reconciliation evidence?
• Are immutable simulations and bottleneck analyses included?
• How does it integrate with testing frameworks and identify impacted tests?
• What unsupported inputs are reported and how are they handled?
• Can raw service data and credentials remain within customer infrastructure?