Excel is the single most used business software package in the world. It is estimated that Excel is used by a billion people, with at least half a billion actively using Excel in the workplace today, many of whom are self-taught or work in environments where controls are not as robust as they should be.
The widespread business reliance on Excel creates multiple issues, such as data performance limitations and a lack of version control, that often go unnoticed or unaddressed and can result in costly errors and missed opportunities. This article outlines a modern and cost-effective approach that mitigates the operational risk of Excel whilst maximising its many capabilities.
In the financial services industry, regulatory bodies look for transparency and auditability in all financial processes. However, within the financial operations of an organisation there are often numerous processes that are Excel-based; for instance the budgeting, forecasting, and variance analysis of Financial Planning & Analysis (FP&A). The risks associated with Excel usage can be material and therefore subject to particular scrutiny by auditors and regulators. Well-known examples for relevant risk types include:
Excel auditing studies suggest that about 90% of spreadsheets contain at least 1% of errors in their formulas, and there are numerous publicised examples of the sometimes severe consequences of spreadsheets going wrong. For more information on some of those, the European Spreadsheet Risk Interest Group offers case studies and research on spreadsheet errors and their impacts.
A recent example listed in 2024 includes Norway’s sovereign wealth fund losing roughly $92 million on an error relating to how it calculated its mandated benchmark within Excel. Larger incidents include the approximate $6 billion loss of “The London Whale” in 2012 at JPMorgan Chase, which was thought to be partially due to a formula error in a risk calculation spreadsheet that significantly understated the VaR, dividing by the sum of the rates instead of their average.
The risks associated with Excel have been widely acknowledged for at least two decades. Up until now, traditional approaches to mitigate Excel operational risk have included a variety of methods.
A significant issue that often goes unaddressed is the lack of consideration for the impact of business and IT changes on business critical spreadsheets. For instance, modifications in the structure of data feeds can have detrimental effects on the accuracy and functionality of existing spreadsheets, resulting in flawed analyses and reports. Similarly, updates to business logic without corresponding updates to spreadsheets can cause inconsistencies and errors in calculations.
These challenges require proactive measures, such as continuous monitoring of spreadsheet dependencies, comprehensive impact assessments before implementing changes, and robust communication between business and IT departments to ensure that all potential impacts on spreadsheets are considered and mitigated.
To combat these common challenges, we adopt a new approach to remediation, as depicted in the diagram below.
For higher volumes of data and Excel files that pose the highest levels of risk exposure, such as those used in financial calculations, we recommend using a data preparation tool to help ensure accuracy and optimise performance. Tools such as Dataiku, Alteryx, and Talend can be particularly effective in managing large datasets, automating data workflows, and reducing the risk of errors. These tools not only improve data quality but also enhance scalability and maintainability. Additionally, integrating these tools with existing IT systems can further streamline processes and mitigate the risk of discrepancies caused by business or IT changes.
Equally, as business logic complexity increases, it is often a good idea to leverage an Excel control service. In the extreme case of both complex processing and anever-ending number of rows, both types of tools can be used in combination.
Excel control services provide a range of functionalities that help maintain data integrity, improve governance, and streamline workflows, offering users multiple options to enhance their Excel control processes. Application of the tools can greatly reduce development timelines, potentially saving a significant amount of time and money. Some examples include:
Taking the example of Coherent, changes can be made instantly by the business as needed and, as far as business users are concerned, Coherent is just a simple Excel add-in as shown below.
The main benefit of Coherent is the reduction in Excel operational risk. Coherent enables version control of spreadsheet usage in the organisation with a searchable audit trail of every user interaction and underlying calculation. Each version is published and auditable as at the date of upload, so any changes can be itemised and reviewed with roll-back functionality to prior versions where required. It also has additional functionality such as data consistency analysis, large scale testbeds, and regression analysis.
Coherent also enables offline data and business logic from Excel to be published internally, which can feed into data pipelines such as feeds to databases, machine learning, data analytics, or interactive dashboards. Individual Excel workbooks are no longer siloed as any workbook with relevant permissions can download the data and business logic, thereby properly integrating the organisation’s Excel estate. Data transfers between published Excel workbooks are facilitated by simple add-in formulae, serving as a stepping-stone to full strategic end-to-end systems.
In terms of use cases, this functionality can be very effective when consolidating workbooks, such as by a group function that consolidates reports from various locations. A group function could also centrally control the business logic applied by local teams, as the official published version component can be downloaded to those distributed workbooks.
Using an Excel control service, such as Coherent, can greatly decrease Excel risk and improve the quality, security, and compliance of business processes. It also allows for the upload of offline data and business logic, which can be easily fed into data pipelines. In total, it provides enterprise controls for managing spreadsheets across the organisation and provides the much-needed transparency and auditability for users, auditors, and regulators.
Projective Group helps organisations manage the complexity of Excel and optimise their data workflows. We offer comprehensive solutions to address a variety of Excel challenges, including developing robust data pipelines, enhancing spreadsheet controls, and ensuring data integrity. For more information on how we can assist with your specific requirements, including proof-of-concept use case demonstrations and strategies to mitigate Excel-related risks, contact our team today.
Established in 2006, Projective Group is a leading Financial Services change specialist.
We are recognised within the industry as a complete solutions provider, partnering with clients in Financial Services to provide resolutions that are both holistic and pragmatic. We have evolved to become a trusted partner for companies that want to thrive and prosper in an ever-changing Financial Services landscape.