Digital Transformation

Data Governance and Audit Readiness

Efficiently organizing and managing financial and administrative data, preparing it for internal and external audits with accuracy and reliability.

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Data Governance and Audit Readiness

Service Overview

Data Governance and Audit Readiness

departments, and turn audits into high-risk, time-consuming processes. Without proper controls, organizations face unexplained discrepancies, undocumented changes, unclear responsibilities, and delays in closings and approvals.

Our service delivers a practical framework to standardize data definitions, minimize errors, and streamline the generation of compliance and audit-ready evidence. We organize and classify data, implement clear management policies throughout its lifecycle, and ensure accuracy, reliability, and transparency.

We prepare companies for audits by structuring documents and financial evidence, compiling the Prepared by Client (PBC) list, and reviewing journal entries and financial notes—making audits faster, smoother, and fully compliant with standards.

Our ultimate goal is to ensure data accuracy and completeness, accelerate audit processes, reduce costs and time, and increase confidence in the company’s financial reports.

Required Documents

Current data domains and key reports used for decision-making and sign-off
Current approval flows and any audit or compliance requirements
Existing data quality issues and recurring reconciliation gaps
Access model overview (who can read/write what and where)
Retention requirements and data classification (sensitive, confidential, public)
Change history approach (how changes are logged, tested, and approved)
Stakeholder list for ownership and governance sign-off
Audit Trails and Evidence Packs

Prepare traceable logs and ready-to-use evidence packs for internal audits and regulatory reviews.

What's Included

Governance Framework and Responsibilities

Define data ownership and governance roles for domains and key reports.

Data Standards and Definitions

Standardize definitions and metrics to ensure consistency across teams.

Validation Rules and Quality Controls

Implement validation gates and quality checks to minimize errors before approval.

Reconciliation and Control Mechanisms

Establish reconciliation processes between systems and reports to detect and resolve discrepancies.

Access, Retention, and Classification Policies

Define read/write permissions, retention policies, and data classification (sensitive, confidential, public).

Documented Change Management

Implement a clear approach for logging, testing, approving, and tracking changes.

Service Execution Steps

1
Definition & Preparation

Identify current data domains and critical reports.
Gather compliance and audit requirements.
Analyze recurring data quality and reconciliation gaps.
Document current access model, retention needs, and classification.

2
Detailed Governance Design

Design ownership and governance model.
Define standardized data definitions and metrics.
Build validation rules and reconciliation controls.
Set access, retention, and classification policies.
Define change management process.

3
Implementation & Integration

Apply quality and reconciliation controls to data pipelines and reports.
Activate access model and enforce security policies.
Build audit trails and evidence packs.
Launch documented change management workflows.

4
Testing & Quality Assurance

Perform functional tests for governance controls and definitions.
Validate compliance and traceability.
Address findings and optimize configurations.

5
Pilot & Rollout

Run a pilot on a specific data domain or report, train users, and collect feedback.
Expand gradually based on lessons learned.
Manage change with training materials and support.

6
Operation & Continuous Improvement

Conduct periodic reviews of data quality, reconciliation, and audit readiness.
Apply regular enhancements to standards, rules, and policies.
Maintain sustainable governance through updated documentation and compliance checks.

Service Benefits

Consistent definitions and metrics across teams, fewer reporting disputes
Reduced operational risk through validation gates and reconciliation controls
Faster audits with ready evidence packs, documented controls, and traceability
Clear ownership model that reduces escalation time and responsibility gaps
Improved long-term maintainability through standards and controlled change practices