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With driver-based planning, companies identify a set of factors that influence their success and model that data to better understand its impact. Managers can then run scenarios with the drivers to improve long-term strategicplanning.
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 strategicplanning.
Delegating responsibilities allows for concentrated efforts on both strategicplanning and operational tasks. Additionally, establishing clear and succinct priorities for the team provides a roadmap for harmonizing daily duties with overarching , strategic goals. This makes the data more accurate and easier to access.
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?
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