The increasingly volatile interest rate environment is impacting banks. Both the treasury function and planning, budgeting and forecasting (PBF) are being hit particularly hard in this environment. Achieving a sound responsiveness towards sudden market changes in the daily business is a major challenge for many finance teams. Does this sound familiar?
Deloitte’s Swiss Finance & Performance Practice regularly helps clients to define their target operating model (TOM). In this article, we would like to shed some light on how the planning teams of banks can generate more accurate foresight in a difficult planning environment to improve decision-making, and how treasury can provide a better basis for interest rate hedging transactions.
We find that banks struggle to reflect their ambitions in their operating model (OM). In this regard, we see the following shortcomings most frequently: The OM does not enable the agility to respond quickly to change in the marketplace, there is a mismatch of available skills with value-adding activities, and organisations do not make use of IT as efficiently and effectively as possible.
Many of these deficiencies are due to the ongoing use of legacy systems that compromise both data quality and process automation.
The two processes we are highlighting here – treasury and PBF – are particularly affected by these circumstances and therefore lend themselves to a discussion of possible improvements in the TOM. These challenges can be overcome with modern finance IT – but we first need to understand the challenges faced by the finance teams of banks.
The volatile macroeconomic conditions exacerbated by the current political uncertainties pose a major challenge to risk management and planning activities.
On the one hand, the reaction time to adapt to different scenarios with a material impact on the business is currently very short, which makes it more difficult to define and monitor actions for achieving objectives. Furthermore, it is increasingly difficult for banks to plan product margins across all segments, especially in the interest-related business of retail banking.
A key planning challenge that needs to be addressed is how to quickly obtain up-to-date and meaningful business data, including detailed sales figures, financial reports and departmental budgets.
Potential for optimisation can be found in all categories of the operating model. Given the challenges in banks’ finance functions described above, we have identified the greatest potential for improvement in treasury and PBF and the associated digital landscape.
We propose the following approach to optimising the finance function, with a particular focus on the change-leading role of the CFO and the importance of combining digital technologies and operational capabilities.
In this article, we have described some of the challenges that banks face in today’s increasingly volatile environment and how the finance function can react by setting up a future-proof TOM, thereby adding value to the entire organisation. In fact, a finance function built for the future must be dynamic, risk-sensing and able to react to any disruption that comes its way.
Although the finance department faces these challenges, it is also in the privileged position of acting as a data architect, taking ownership of the bank’s data to design new planning models that enable the bank to better manage uncertainty.
Are you ready to take the next step towards your future finance capability?
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