Data aggregation for small businesses across banking, accounting, and commerce, with Codat CTO David Hoare

<p>Lex chats with David Hoare, the CTO and co-founder of Codat - a universal API platform that connects small businesses to banks and other financial platforms. Together they discuss the value behind data aggregation, API integrations, SME enablement via APIs and the complexities involved in connecting large institutional businesses to API platforms. Additionally, Dave breaks down how the COVID-19 pandemic created an unexpected opportunity for Codat to help large banks deliver funds to smaller businesses in need of financial assistance. He also emphasizes the importance of buying APIs via API platforms like Codat rather than building it in-house, and so much more!</p><p> </p><p>MENTIONED IN THE CONVERSATION</p><p> </p><p>Codat's Website: https://bit.ly/3LfoYZ1</p><p>Dave's LinkedIn profile: https://bit.ly/3HnvV90</p><p> </p><p>Topics: API, payments, embedded finance, fintech, payments, integration, automation</p><p> </p><p>Companies: Codat, Experian, PayPal, Plaid, Stripe</p><p> </p><p>ABOUT THE FINTECH BLUEPRINT</p><p> </p><p>🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2</p><p> </p><p>🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV</p><p> </p><p>👉 Twitter: https://twitter.com/LexSokolin</p><p> </p><p> </p><p>TIMESTAMPS</p><p> </p><p>1’26”: Codat - what the company is, how long it has been around, some of the things it does, and how small Fintechs use Codat</p><p> </p><p>9’20”: The different software packages that the data aggregation adds value to, and the types of API integrations needed for the data pull</p><p> </p><p>17’07”: Envisioning the customer experience and breaking down the economics of the platform</p><p> </p><p>20’22”: Breaking down the requirements involved in integrating Codat into their stack, and expanding on Codat’s partnership program with large enterprises</p><p> </p><p>26’43”:  Examples of failed hypotheses and customer relationships, and surprisingly successful use case examples</p><p> </p><p