01
Who owns the finance data that drives reporting?
Clarify accountability for key financial dimensions, mappings, definitions and quality decisions.
Finance and performance
Finance Data Governance
Make financial information governable at the point where definitions, ownership and master data begin.
Finance reporting can only be as reliable as the information structures beneath it. When business units maintain different master data, reporting definitions and local analytical models, reconciliation becomes a permanent operating burden.
We support finance organizations define ownership, align local and corporate structures, standardize critical data, introduce quality and change-control practices and create a stronger basis for reporting and automation.
NoèmeX perspectiveMake the system intelligible first: reveal the structure, constraints and variables that determine where change can produce the intended outcome.
Related leadership priorities
Finance priorities connect performance, control and enterprise execution.
Use these pathways to see how the same finance capability supports executive decisions about performance, operations, technology and value.
Questions we address
The finance decisions that shape the work
We frame the engagement around the process, control and information questions finance leaders need to resolve before selecting a solution.
02
Where do local and corporate structures conflict?
Identify master-data and reference-data differences that create reconciliation and inconsistent reporting.
03
How should changes to financial definitions be controlled?
Establish review, approval, certification and documentation practices for changes that affect downstream reporting.
04
How do we know finance data is fit for use?
Define data-quality rules, exception handling and monitoring for the elements that materially affect finance decisions.
What we deliver
From finance diagnosis to a governed operating solution
The exact scope depends on the organization, but the work typically produces a combination of these outputs.
01
Finance data-domain model
Definition of the financial data domains, critical elements, owners and relationships that matter to reporting and control.
02
Master and reference data governance
Ownership, mapping, standards and lifecycle controls for the dimensions used across entities and reports.
03
Finance data-quality framework
Rules, thresholds, exception workflows and accountability for critical finance information.
04
Reporting definition governance
A controlled approach to KPI, metric and financial-report definitions so teams work from consistent logic.
05
Access and change-control model
Roles, approvals and auditability for who can change or access governed finance information.
06
Governance operating model
Stewardship responsibilities, forums, escalation and review mechanisms that keep the framework active after implementation.
Selected work
Evidence from a real finance and operating environment
This example is drawn from the documented Global Data & BI case-study portfolio and illustrates the kind of process, data and reporting conditions behind the service.
Finance data governance50+Fragmented P&L files exposed inconsistent ownership and master-data practices
Establishing governance underneath consolidated financial reporting
The chemical finance case exposed disconnected master data, shadow IT, inconsistent ownership and numerous local P&L versions. The solution mapped local to group master data, centralized reporting structures and introduced a governed BI environment that improved data consistency and trust while reducing the need for manual reconciliation.
Read the case studyRelated finance services
Continue into the adjacent finance capability.
These services often intersect in the same finance transformation program, but each has a distinct purpose and page.
How we work
Use the engagement model that fits the finance problem.
Finance work can begin as focused advisory and continue into project delivery, embedded support or an ongoing managed model.
Advisory
Focused executive and specialist support for assessments, design decisions and finance transformation direction.
Read more →Project delivery
Structured delivery when the finance design needs to move into implementation, integration, rollout and adoption.
Read more →Embedded teams
Specialists operating alongside finance and technology teams when continuity and critical-period support matter.
Read more →Your Contact Persons
Connect directly with the people responsible for this work. Explore their experience and contact options.
Zahra Fathisalout
Founder · Eng., CSP, CMLAI
Corporate governance · ASC-C.Dir. candidate
Works across strategy, enterprise transformation, data, AI and governance, bringing operational engineering experience to complex transformation decisions.
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Brendan Young
B.Com, Director of Operations
Connects transformation design with operating discipline, drawing on logistics, fulfillment and high-throughput operational leadership.
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Finance Data Governance
Start with the finance process or decision that is creating friction.
Share the reporting, planning, control or operating challenge, the teams involved and the systems currently in use. Our teams can determine where process, data, governance, analytics or automation work should begin.