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In this point of view, we outline how data automation can improve the accuracy, speed, and value of operations within the finance function, thereby supporting dynamic risk management. We discuss the value of automating where it matters the most, helping finance to better predict risk and determine appropriate actions while continuing to monitor and assess risk factors across the enterprise. Areas of automation include data ingestion and management, business processes, and policies and controls.
This paper looks at five distinct but connected pillars to elevate finance and turn disruption into opportunity. Our insights here are based on KPMG proprietary data, industry-sponsored focus groups, field research and insights gained directly from numerous KPMG transformation engagements across multiple industries.
Structural shifts are more profound than cyclical shifts, as they upend existing business models. Knowing the trends already underway is a powerful advantage when hedging risk. We look at the top 10 structural changes reshaping the economic landscape today.