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Testing & QA

No Financial Model Should Enter a Boardroom Unvalidated.

Financial model validation, data integrity assurance, and business process verification — because in finance, the cost of a wrong number compounds.
Transform Your Finance Function

The most dangerous number in finance is one that looks correct but isn’t.

Financial model errors, data pipeline failures, and process logic inconsistencies do not announce themselves. They migrate quietly through planning cycles, consolidation runs, and board presentations — until a strategic decision is made on a foundation that was never sound. The reputational and commercial consequences of discovered model errors at the executive level are severe, and systematically preventable
UVID’s Testing & Quality Assurance practice is built on the conviction that every financial model, every data integration, and every business process that touches financial output deserves structured, independent validation before it is relied upon. We bring the rigor of software quality engineering to the finance function — because the standards for financial data integrity should be at least as high as those for any other mission-critical system in the enterprise.
Zero
Tolerance for Model Risk
Structured validation catches logic errors, circular references, and assumption inconsistencies before they reach decision-makers
100%
Process Coverage
End-to-end business process validation ensures that every workflow step produces the expected output under all operating conditions
Audit-Ready
Documentation Standard
Every test is documented with findings, remediation, and sign-off — creating an audit trail that satisfies external review requirements
Service Capabilities
Three Validation Disciplines for Zero-Defect Finance
01
Financial Model Validation
We conduct structured, independent reviews of planning models, consolidation logic, and financial calculations — testing formula accuracy, assumption consistency, scenario sensitivity, and edge-case behavior. Model validation is performed both at initial deployment and after material changes, ensuring that the integrity of the model is maintained across its entire operational lifecycle, not just at launch.
02
Data Integrity Checks
We design and execute systematic data integrity testing across the full integration pipeline — from source system extraction through transformation logic to EPM consumption. Reconciliation testing, duplicate detection, hierarchy validation, currency conversion verification, and intercompany matching checks are run against defined thresholds, with exception reports generated for any failure that falls outside tolerance.
03
Business Process Validation
Financial systems are operated by people following defined processes. We validate that those processes produce the intended outputs under normal operating conditions, exception scenarios, and system edge cases. User acceptance testing, parallel run comparisons, and workflow stress-testing are conducted with cross-functional stakeholders to ensure the live environment operates as designed from day one of go-live.
Testing Methodology
The UVID Validation Framework
01
Scope Definition & Test Plan Design
We define validation scope, testing criteria, and acceptance thresholds in collaboration with finance and IT stakeholders — ensuring that the test plan reflects what the business actually needs to be certain about, not what is technically convenient to test.
02
Systematic Test Execution
Test cases are executed across the full scope — model logic, data pipelines, process workflows — with results documented against expected outcomes. Deviations are categorized by severity and routed to the appropriate resolution owner with clear remediation guidance.
03
Remediation Support & Re-Testing
UVID works alongside the implementation team to resolve identified defects, then re-executes the affected test cases to confirm that remediation was complete and did not introduce secondary issues in adjacent logic.
04
Sign-Off & Documentation Package
Validation is complete when every test case has achieved a documented pass or an accepted deviation with approved risk acknowledgment. The resulting documentation package serves as the permanent quality record for audit, compliance, and future change management purposes.

Frequent questions

additional info

EPM is short for enterprise performance management, which is a specialized area within the broader category of business performance management. EPM supports the work of a chief financial officer (CFO) and the financial planning and analysis (FP&A) processes that are key to a finance department’s operations.

EPM’s primary benefit is improving business performance. It does so by making management processes more efficient and delivering insights to decision-makers in real time so that they can plan, budget, forecast, and report with greater confidence and ease.

Due to how complexly interwoven EPM is in the day-to-day operations of an enterprise, the execution of an EPM transformation project requires careful planning and finesse in order to encourage users to adopt the new system and for all of the kinks to be worked out with minimal impact on business operations. Here is a roadmap for a successful FP&A product implementation.

There are a wide variety of EPM applications available, made by companies like Jedox, Workday, SAP, Oracle, IBM, Vena, Wolters Kluwer, OneStream, Board, Planful, Prophix, and Anaplan. Many of the best EPM tools now are cloud-based, making them accessible as long as you have an internet connection. Here is a deeper dive on product evaluation.

Each of these terms are used in different regions around the world to describe the same set of practices. Business performance management is commonly thought to have a wider scope, whereas enterprise performance management and corporate performance management specifically focus on the role of finance within an enterprise.

Business intelligence refers to any software or analytics that provide insights that lead to more informed business decisions. These insights may take the form of charts, reports, graphs, and dashboards.

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