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MTC · Industry Depth, Global Breadth

ERP data preparation for financing and transaction due diligence

MTC organises ERP operating data, measure definitions, adjustments and approvals into a traceable foundation, then works with valuation, investment, audit and legal diligence teams on customer concentration, order quality, inventory, margin, cash, contracts and forecast assumptions.

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  • Data-request response
    Retrieve records by agreed definition
    Scope and interpretation still require review
  • Quality of performance
    Drill into customer, margin, cash and inventory
    Trace totals to their components and drivers
  • Assumption control
    Separate history, budget, pipeline and scenarios
    Label history, budgets and scenarios separately

The required diligence depth determines the system scope

Business One can establish the operating and finance record for a growing entity. Complex groups, multiple entities and deeper integration should compare the standard cloud and private-cloud S/4HANA paths.

SAP Business One

MTC organises orders, customers, inventory, margin, cash and finance into a traceable record for management review and transaction diligence.

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SAP S/4HANA Cloud Public Edition

MTC standardises operating measures and finance processes across entities, giving management and advisers a consistent group data basis.

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SAP Cloud ERP Private

MTC prepares complex group data, integrations and migration history for demanding financing, restructuring and transaction programmes.

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Data and control gaps exposed during due diligence

Metrics have no single definition
Revenue, active customers, committed orders, inventory and adjustments differ by file.Business impact:Inconsistent definitions delay responses and require repeated clarification.
Operating measures do not trace to transactions
Margin, concentration and order growth are calculated mainly in spreadsheets.Business impact:The team cannot reproduce a sample consistently.
Forecast assumptions mix with history
Management scenarios, sales pipeline and signed orders are not clearly separated.Business impact:A change to an assumption requires the analysis to be reworked in full.

Diligence data readiness and traceability

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MeasureDefinition / calculationReview direction
First-review acceptanceRequests accepted without redefining or rebuilding the measure↑ Higher
Adjustment transparencyAdjustments with reason, owner and approval↑ Increase documented-adjustment coverage
Measure traceabilitySamples reproduced from management measure to source and adjustment↑ Increase measure reproducibility
Measure definitions
Each key measure has a definition, scope, cutoff, source and owner.
Source-data traceability
Authorised reviewers can follow source transactions, adjustments and approval.
Assumption versioning
History, budgets, pipeline and scenarios are labelled separately with supporting sources.

Diligence-data definition and disclosure process

Each request is assigned a definition, scope, source and owner, followed by controlled extraction, review, approval and version tracking.

Diligence question
Definition and scope
Source and adjustments
Review and approval
Data room and update log
The data room receives approved, scoped exports with masking, access, version and disclosure controls appropriate to the transaction.

Diligence data controls

  • Definition, scope and cutoff date
  • Source, manual adjustment and review
  • History, budget and scenario separation
  • Masking, access and disclosure approval

Transaction data, measure definitions and controlled disclosure

Reliable operating records are established before measures, adjustments and data-room outputs are reviewed and approved.

  1. Transaction data and lineage

    Trace orders, revenue, inventory, cost, cash and customer records.

    B1 Operations & Finance

    Source-to-report lineage for agreed measures.

  2. Measure dictionary and review

    Define measures, scope, cutoff, adjustments and approval.

    Measure Dictionary · Data Review

    Approved definitions and adjustment register.

  3. Controlled disclosure

    Export within diligence scope and separate history from assumptions.

    Access & Versioning · Question Summary

    Scoped export, approval record and version history.

MTC organises ERP transactions, operating measures, adjustment records and disclosure versions into a reliable data foundation for valuation, audit, tax, legal and investment teams.

Diligence data and professional collaboration

How does ERP data move into a transaction data room?
ERP provides approved operating data; the data-room process applies transaction-specific selection, masking, access, version control and question tracking, with an approval record for each disclosure.
What makes system data ready for professional review?
Each measure needs a definition, scope, cutoff date, manual-adjustment record and review, with samples traceable to source transactions and approvals.
Does every investor question require a new report?
Stable transaction data and agreed definitions allow many questions to be answered by recombining existing dimensions. New reports can then serve genuinely new management or transaction decisions.
How does MTC support valuation and diligence teams?
MTC delivers the ERP and data-process work, organising measure definitions, source records, adjustments, approvals and version history for review, and works with valuation, audit, tax, legal and investment teams on system and data questions.

Establish a repeatable data process for diligence requests

Measure definitions, source systems, adjustments, approvals and disclosure controls are mapped into a traceable process from ERP transactions to reviewed, versioned data-room outputs.

  • ✓Measure definitions and source data
  • ✓Adjustments and ownership
  • ✓Access and version control
  • ✓Repeatable reporting process
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