Financial Modelling
Let model audit rule in due diligence processes and get assurance that accurate financial results will be obtained. The scope of a model audit includes reviewing the logic, consistency, compliance of the model with accounting and taxation rules.
Our formal model audit involves a detailed report – broken down by category of error – flagging any issues in the model that the project or business needs to address before taking further action. Our auditing philosophy follows the FAST Standard. The duration of a model audit typically ranges from one to eight weeks, depending on the extent of the review and the agreed scope.
Reports
Customized to focus areas for lenders and stakeholders.
Our model audits bring value to projects and companies by ensuring the accuracy and effectiveness of their financial models. A reliable and error-free model audit rule process enables businesses to make informed decisions, assess profitability, and minimize material impact on their projects. Trust GIA to provide comprehensive financial insights and guide you through the complexities of energy infrastructure projects, supporting sustainable economic growth and social development.
When auditing a financial model in Excel, we begin first by scrutinizing the model’s layout and organization, ensuring adherence to best practices for clarity and transparency. Our team then assesses the integrity of formulas, identifying and rectifying errors, circular references, and inconsistencies that could compromise accuracy.
In that process, we evaluate the appropriateness of assumptions, such as growth rates and discount rates, by comparing them to industry standards and historical data.
The summary reports for our auditing process involves comprehensive documentation and reconciliation to promote transparency and ease of replication. We document key inputs, formulas, and assumptions, providing a clear trail of how outputs are derived. Additionally, we validate calculations by cross-checking results with independent calculations or alternative methods. Reconciliation efforts include comparing outputs with source data or external reports to ensure consistency and alignment. If necessary, we conduct sensitivity analysis and scenario testing to assess the model’s robustness and identify potential vulnerabilities to changing conditions.
