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I spend most of my time in the far less rarefied air of corporatefinance and valuation, where businesses try to decide what projects to invest in, and investors attempt to estimate business value. Relative Equity Risk : I stay with beta, notwithstanding the criticism of its effectiveness for two reasons.
The growing variety and complexity of tasks within the finance function has resulted in the creation of a discipline that is supposed to become a bridge between the finance and business to support decision-making process by leveraging data and technology. This relates to FP&A which stands for financial planning and analysis.
In a recent webinar sponsored by Datarails , the FP&A solution for Excel users, three distinguished finance leaders came together to discuss the impact of AI on corporatefinance. They highlighted how AI technology is transforming the way finance and accounting teams work with data and make decisions.
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Many CFOs are now leveraging AI-powered spend analytics to detect cost inefficiencies and identify savings opportunities across procurement, logistics, and operational expenditures." Joseph points out that AI doesn't just crunch numbers, but rather it actively helps finance leaders see around corners.
It is perhaps a reflection of my age that I remember when getting data to do corporatefinancialanalysis or valuation was a chore. Check rules of thumb : Investing and corporatefinance are full of rules of thumb, many of long standing. Data: Trickle to a Flood!
Risk Management: Given the CFO’s role in identifying and mitigating risks, tasks related to safeguarding the company’s assets and financial health are critical. This includes not just financial risks but also operational, regulatory, and strategic risks.
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