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Global Finance Data · Consulting service

Global Finance Data Consolidation

Different regions. Different finance systems. One shared data foundation for global analysis and useful AI.

How we help

Practical work, grounded in your context.

Who we work with

CFO organisations, group reporting and FP&A teams, and data leaders coordinating several entities, regions, ERPs, or local finance systems.

Global analysis becomes difficult when regions use different account structures, business definitions, reporting calendars, and local extracts. We help Finance and IT establish a shared data model and connect the systems that feed it.

Start with one reporting use case and a representative set of entities. We make local-to-global mappings explicit, preserve source detail, and validate the result with Finance before extending it across regions. A shared data layer can be built around existing systems without requiring every region to migrate at once.

Where it helps

A common language for global Finance.

Designed for organisations whose regional systems need to support a consistent global view.

01

Fragmented regional systems

Bring selected data from ERPs, finance applications, and controlled regional files into a documented integration flow.

02

Inconsistent definitions

Align account mappings, entities, cost centres, business dimensions, and reporting periods with a Finance-approved global model.

03

Analytics and AI preparation

Publish traceable datasets and documented metric definitions so reporting and AI applications can use the same governed business logic.

What you get

From local extracts to a trusted global view.

Global finance data blueprint

A source-system inventory, target architecture, shared data model, and phased rollout plan tied to the agreed reporting use case.

Governed mappings and data flows

Versioned local-to-global mappings and, within the implementation scope, tested pipelines with source lineage and documented transformation rules.

Quality controls and ownership

Reconciliation and completeness checks, exception workflows, and named regional and global owners, supported by a resource and maintenance plan.

The engagement

A clear scope, from the start.

  1. Map the landscape

    Review systems, entities, definitions, reporting needs, and the manual work required to assemble the current global view.

  2. Prove the shared model

    Agree mappings and validation rules with Finance, then pilot the model and data flows using selected entities and source systems.

  3. Expand with controls

    Roll out in agreed phases, reconcile outputs with approved sources, and hand over ownership, monitoring, and change procedures.

Good questions

Before we start

Do all regions need to use the same ERP?

No. A shared data model and governed mappings can sit above multiple source systems. We assess which differences can be mapped and which require changes to the source process.

Does this include statutory financial consolidation?

This service focuses on finance data integration and standardisation for analytics and AI. Requirements for statutory consolidation, accounting treatments, and specialist consolidation tools are agreed with your Finance team as a separate scope.

How are local and global differences handled?

We retain source identifiers and local detail, version the mappings, and document approved transformation rules. Currency, calendar, and account-treatment requirements are defined and signed off by Finance.

Who owns the data after delivery?

Regional and business-unit owners remain accountable for their source data and quality. Global Finance owns shared definitions, while IT provides the platform. We agree responsibilities and allocated capacity so those roles can be sustained.

Can we start with one region?

Yes. A representative region, a small set of entities, or one reporting use case can provide the pilot. The blueprint considers the wider landscape so the first implementation can be extended.

Let’s talk

Ready for a consistent global finance view?

Tell us which finance systems and regions need to work together, and what your global reporting or AI initiatives need from the data.

A useful first conversation

  1. Your context

    The business goal and the systems you have.

  2. Your priorities

    What matters most, and what’s getting in the way.

  3. A practical next step

    A clear starting point for working together.