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Global corporate treasury leaders can serve as particularly essential strategic advisers right now— if they can harness the right data, analysis, and technology strategy to navigate choppy market conditions. This is why nearly half of the surveyed treasurers describe cash forecasting as somewhat or extremely difficult.
For this reason, many companies opt to abandon Excel budgeting in favor of a tool that can handle driver-based planning and forecasting. Data Integrity Are you sure that your current forecasts are accurate? Similarly, having too much data can prevent finance and accounting departments from knowing where to focus their energies.
And while the latest tools of the trade—artificial intelligence (AI) and machine learning (ML)—promise to make tasks such as liquidity forecasting, cash management, and risk management easier, they come with their own complications and tie the treasury team even more closely into management’s strategic planning.
Chote Kiatruangamala Chote Kiatruangamala , finance director at Supernap (Thailand) , noted that during 2022, with the global inflation many firms had to downsize and realign themselves more closely to their business volumes while concentrating on improving cash flow.
Financial Planning and Analysis (FP&A) involve a range of activities, including planning, forecasting, budgeting, and analytical tasks, all of which are vital in providing essential support for a company's major business decisions and overall financial well-being.
Encompassing tasks such as analyzing financial data, creating budgets and forecasts, managing accounting processes, and ensuring tax adherence and regulatory compliance, these advanced solutions empower finance teams to concentrate on strategic decision-making and higher-value tasks. What is Datarails’, FP&A Genius?
The key for all of this, of course, is to use tools that allow for automation of these statements while also supporting integration with the core systems of record from where the data can be provided. Centage Corporation’s Planning Maestro is a cloud-native planning & analytics platform that delivers year-round financial intelligence.
The region is now home to more than half of ATMs worldwide, which is helping drive use of cash, according to RBR’s latest forecast. Unlike most reported estimates of cash, our proprietary dataanalysis focuses on the use of cash for making payments rather than hoarding.
In this post, I will start with a rationalization of why I do this dataanalysis every year, follow up with a description (geographic and sector) of the overall universe of companies that are in my analysis, list out the variables that I estimate and report, and conclude with a short caveat about 2020 data.
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