Solution · Data harmonization

Harmonize procurement data across systems, entities, and regions.

Multi-ERP enterprises produce fragmented procurement data that no single system can reconcile. Mithra builds the governed, harmonized procurement data layer that connects them all.

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Connected sources
Harmonizing to group cube
Syncing
SAP ECCLive
Oracle FusionLive
SAP AribaLive
Coupa & P2PLive
Regional flat filesScheduled
Group spend cube €1.43B
The enterprise data problem

Five ERPs, twelve supplier databases, no single view of spend.

For enterprise procurement, data fragmentation isn't just a quality problem; it's an architecture problem. Mergers leave behind incompatible ERPs. Different business units run different P2P platforms. Regional entities use local supplier databases that don't connect to the group master.

The result is an organization that can't answer basic questions: What is our total spend with this supplier across all entities? What is our category spend across all ERPs in a consistent taxonomy? Mithra builds the answer layer without requiring you to consolidate your ERP landscape first.

Source systems
SAP ECC
Oracle Fusion
SAP Ariba
Coupa & P2P
Regional flat files
Mithra Mithra harmonization layer Classify · normalize · reconcile currency & entity · govern
Unified output
Group spend cube
Governed supplier master
Cross-entity opportunities
Atlas in harmonization

Atlas builds the harmonized data layer on top of your existing systems.

No rip-and-replace. Atlas reads from every source in parallel and produces a single governed layer above them.

  • Multi-source ingestionMultiple ERP instances, P2P platforms, and file sources at once.
  • One consistent taxonomyApplied across all source systems.
  • One supplier masterEntities normalized across all source data.
  • Currency & entity reconciliationTo a group reporting currency and organizational hierarchy.
  • A unified spend cubeCovering the full enterprise, ready for BI.
Pulse in harmonization

Cross-entity opportunities single-system views can't see.

  • Cross-entity consolidationRegional entities buying from local arms of the same global supplier.
  • Cross-entity PPVWhere one business unit negotiated better rates than another.
  • Group-level tail spendSmall per entity, material at group level.
  • Leakage across entitiesVisible only when cross-entity spend is reconciled.
Implementation path

A governed data layer in six weeks
not a multi-year program.

1
Week 1

Landscape assessment

Map all sources, assess data quality, agree the target taxonomy and supplier master structure. One workshop with procurement and IT.

2
Weeks 1–2

Connect & ingest

Connect priority sources via API connectors or extracts and begin ingestion of the initial data set.

3
Weeks 2–6

Harmonize & govern

Atlas classifies, normalizes, and harmonizes. Review and approval runs per source, with human review of cross-entity merges.

4
Week 6+

Live data layer

Unified spend cube and supplier master published to BI and downstream systems. Pulse begins opportunity analysis.

Security & IT controls

Built for data sensitivity across jurisdictions.

Multi-entity environments often involve data sensitivity across jurisdictions. Mithra supports entity-level access controls, different business unit teams can access their own entity data without seeing data from other entities.

IT and security requirements are addressed at onboarding. All access is role-based and logged.

Enterprise security & governance

Entity-level access

BU teams see only their entity; group roles see the harmonized view.

Role-based & logged

All access is role-based, with a full audit trail.

FAQ

Data harmonization questions, answered.

There is no architectural limit. Mithra has customers with three to eight active ERP source connections. The ingestion and harmonization pipeline is designed for multi-source environments.
This is the most common multi-ERP challenge. Atlas maps each source system's taxonomy to a unified target taxonomy during ingestion. Your team reviews cross-system mapping decisions before they publish.
Mithra supports entity-level access controls. Business unit A's procurement team sees only their entity's data. Group-level roles can see the harmonized view. All access is role-based and logged.

Connect your data landscape without consolidating it first.

Tell us about your ERP and P2P environment, and we'll map the path to a single governed procurement data layer.

Discuss your data landscape Explore the platform