The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products

Lucas and Luna explore the rise of real-time data feeds in commodities and futures trading, focusing on the shift from delayed exchange data to low-latency market data from firms like CME Group and ICE. They discuss how a 2019 change in wheat futures pricing data gave algorithmic traders a 15-millisecond advantage, forcing regulators to rethink market fairness. The episode drills into the economic...

Most companies build data catalogs that nobody uses. In this episode, Lucas and Luna examine why metadata initiatives so often collapse — and what teams like Airbnb and Netflix did differently. Lucas walks through the distinction between 'inventory' and 'catalog,' citing a Gartner stat that 80 percent of data catalog projects stall within 18 months. Luna pushes back on whether tools like Alation o...

Lucas and Luna explore how data contracts—formal agreements between data producers and consumers—can prevent the chaos of broken pipelines and untrustworthy datasets. Using Instacart's real-world implementation as a case study, Lucas explains how a grocery delivery company saved its analytics team from drowning in bad data by adopting schema enforcement, ownership SLAs, and automated testing. Luna...

Every data team swears their pipeline is clean — until the CFO asks why revenue is down 2 percent and nobody can agree on the number. In this debut episode, Lucas and Luna look inside a single malfunction at a company you've definitely heard of: how a stale address file at a major US bank silently misrouted $400 million in marketing spend over nine months. They trace the bug from a forgotten ETL j...