Lean manufacturing has gained increasing acceptance on the production line in recent decades. Manufacturers are using sophisticated “lean” techniques to eliminate duplication and waste in order to achieve efficiency.
Similarly, finance teams are beginning to see the value of applying this lean concept to their own operations, thereby streamlining processes and saving money.
We are thrilled to bring you the latest episode of Rapid Fire featuring none other than the renowned economist John Mitchell, founder of M&H Economic Consultants. In this rapid-fire session, John provides his expert insights on several pressing economic issues that are crucial for CFOs and other business leaders.
Welcome to another insightful and engaging episode of CFO Talk, hosted by Steve Rosvold. In this episode, we dive deep into the labyrinth of cross-border accounting with none other than Katrina Nacci, the expert on cross border accounting conversions. If you think understanding GAAP is a dry topic, think again! Katrina, with her encyclopedic knowledge and practical insights, makes navigating these accounting principles as exciting as a treasure hunt—minus the pirates but with plenty of buried treasure!
Imagine making one of the biggest financial decisions of your life—selling your business, securing financing, or planning for succession—based on guesswork. While some business owners opt for a professional valuation, others rely on “ballpark” estimates. At first glance, the appeal of a quick, low-cost estimate is understandable, but these methods carry risks. Understanding when a detailed valuation is essential and when a rough estimate may suffice can help you navigate these choices wisely.
In today’s AI (Artificial Intelligence) landscape, finance and business leaders rely on data more than ever to make strategic decisions and boost business performance. A large language model (LLM) like ChatGPT, CoPilot, and Gemini is an AI solution that can generate insights from data easily and quickly. In recent months, many enterprises are harnessing LLM tools for generating insights, and Gartner predicts that by 2026, over 80% of enterprises will have used LLM models [1].
