Today’s finance executives in New York, London, Sydney and Singapore are subjected to a new brutal reality; the old way of looking at history and predicting the next period is no longer enough to support business needs. Over the last few years, expectations of stability have been shattered as inflation has persisted, geopolitical tensions remain high, and supply chains have been disrupted. As a result, CFOs/treasurers are realigning focus on financial intelligence, liquidity optimisation and foreign-exchange (FX) risk management, among others, as core pillars of corporate strategy. Organisations are moving from a reactive finance role to a proactive finance decision-making process.
The change is backed up by international studies. DBS Bank’s survey, titled “New Realities, New Possibilities”, was based on a sample of 800 CFOs and treasurers from seven sectors and 14 markets. Leveraging data-driven financial intelligence is the highest priority of the strategic goals over the next 5 years. Moreover, Liquidity and FX management shifted from seventh to second priority, clearly demonstrating a major change in emphasis toward building financial resilience.
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Data is the New Competitive Advantage
For finance leaders, data has evolved from a “byproduct” of systems to the basis for prediction and assessing risk. When it comes to the DBS survey, more than 69% of finance executives said they were putting money into technology such as data visualisation and predictive analytics to improve cash forecasting, threat detection and capital strategy planning.
This is indicative of industry sentiment. A recent PwC Global Treasury Survey found that 74% of organisations are either extending or actively using artificial intelligence (AI) – namely machine learning and predictive models – to enhance forecasting and financial insights. The ability to detect patterns and predict changes in volatility has become an essential skill, rather than a luxury, in a business world that can unexpectedly throw macro volatility.
But it’s not all about data. Quality and governance are vital. AI and analytics need a clean and trusted data infrastructure, but that is something that many companies find difficult to develop, as outlined by Gartner and Deloitte. Otherwise, even sophisticated models can yield inaccurate results or create problems.
Liquidity Management: First Line of Financial Resilience
Liquidity is more than about having cash in hand; it’s about being agile and having options. The PwC survey pointed to top priority areas for CFOs and treasurers, such as cash and liquidity management, in the context of the current volatility in interest and credit rates.
Treasury departments are changing their organisational make-up, with 67 percent establishing in-house banks, and 28 percent implementing centralised reporting centres that provide near real-time cash flow visibility. Improvement of stress testing, reallocating capital, cross-border operations and other aspects: stress testing scenarios, capital reallocation, cross-border operations and others.
The DBS study highlighted that over half of the finance leaders are keen to investigate blockchain payments and regional treasury centres to help maintain liquidity and cross-border flows, indicating a move towards more flexible liquidity frameworks that can adapt to geopolitical upheavals and funding pressures.
FX Management is Not an Afterthought, But a Strategic Priority
The foreign exchange risk that was considered a mere technical concern and not part of the treasury agenda has become part of the strategic agenda. The DBS survey findings—where FX management is now the second most important finance issue—are a sign of the increasing awareness among executives of the effect of currency volatility on profitability and working capital, as well as strategic objectives.
Some firms are switching away from the traditional static hedging model and toward dynamic models that relate FX strategies to cash-flow forecasting and business operations. This change entails regular rebalancing of hedges, thresholds based on scenarios, and a closer connection between procurement and sales team to manage natural hedges that are part of supply chains.
Maintaining the balance between automation and human insight.Striking the balance between automation and human insight.
This change is being sped up by AI and automation, yet it has not been adopted consistently. The PwC survey finds that while a significant number are using predictive technologies, data quality (76%) and the absence of effective tools (53%) remain challenges to the more effective forecasting capabilities. Yet, those finance executives who can do that, who are able to use human judgment combined with automated knowledge, are getting an edge. The future of finance is not one of humans against machines, but of humans plus machines, with the former complementing the latter with actionable, intelligent insights that don’t take the place of the human judo of control or transparency.
Reinventing the Finance Operating Model
These trends point to a changing role for finance, from scorekeeper to strategic partner. Treasury is growing in scope and includes working capital optimisation, scenario modelling and enterprise risk forecasting. Enterprise risk management performance measures are being created, such as intraday liquidity ratios and predictive risk exposures that are focused on future more than past accuracy.
To facilitate this shift, companies are investing in talent and governance, understanding that the skills and knowledge of technology and data literacy will be essential attributes of the finance teams of tomorrow.
Precision Meets Resilience
Certainly, there will be uncertainty in the next five years, but there will be a massive transformation in the way organisations deal with it. Data Intelligence, effective liquidity management and strategic approaches to FX management will all help finance leaders to weather the volatility, make smart decisions and seize opportunities that others may miss. The future financial landscape is dynamic, proactive, and vital to enterprise resilience and not reactive.
