The future of small business financing will likely involve a greater reliance on alternative credit solutions. As businesses and lenders adapt to these changes, the ability to navigate the complexities of the private credit market will be essential for achieving success and ensuring that small businesses have access to the capital they need to thrive.

Our recent exploration of Benford's Law and its established use within the financial regulatory and services community has been highly insightful. Benford's Law is a powerful statistical tool employed to identify potential fraud or anomalies in numerical datasets. It stems from the observation that, in many naturally occurring datasets, the first digit of the numbers adheres to a specific distribution, with the digit 1 appearing most frequently, followed by 2, 3, and so forth, up to 9.