How Data Teams Are Pricing Internal Data Products

What this episode covers

Episode 58 of The Data Business Podcast. Lucas and Luna dive into one of the trickiest problems in enterprise data: how to assign a price to internal data products. They explore the tension between cost-plus models and value-based pricing, using a real example from a European bank that tried both. Lucas breaks down the three main approaches — cost allocation, market proxy, and willingness-to-pay — and shares why the bank eventually landed on a hybrid model tied to compute consumption and business outcome metrics. Luna pushes back on whether internal pricing creates perverse incentives, like data teams hoarding high-value datasets. They also touch on the role of data product SLAs and chargeback systems. If you are building a data platform or running a data product team, this episode gives you a concrete framework to start pricing conversations with your stakeholders. #DataProducts #DataPricing #DataMonetization #InternalDataMarketplace #DataEconomy #DataPlatform #Chargeback #CostAllocation #ValueBasedPricing #DataProductManager #DataGovernance #DataStrategy #EnterpriseData #BusinessTechnology #Business #FexingoBusiness #BusinessPodcast #TheDataBusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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