The Data Dividend: Turning Trusted Business Data Into Recurring Revenue

Most businesses treat their operational data as a byproduct, even though it can reveal valuable patterns about demand, equipment utilization, patient access, property performance, customer behavior, and supply chains. In this interview, Mia Franklin explores how owners can use AI to organize, anonymize, and package permissioned data into useful products for partners, researchers, lenders, insurers, or industry platforms. The conversation focuses on the difference between selling raw information and creating a governed data service with clear customer value, repeatable pricing, and measurable margins. The guest will explain how to identify a viable data asset, validate demand without exposing sensitive records, design a pilot, and document controls that build trust with investors and commercial partners. Listeners will leave with a practical framework for turning overlooked information into recurring revenue while strengthening business intelligence, strategic partnerships, and long-term enterprise value.