Data is Not a Byproduct-It's the Product: Applying Data-as-a-Product Thinking in Media & Entertainment

The Media & Entertainment industry is generating more data than ever before, yet much of his data is underutilized. Decades of centralized architectures, fragmented and siloed ownership, and tool-driven initiatives have produced data lakes and dashboards, but not trusted, scalable insights the industry needs. At the same time, the rise of artificial intelligence has made the availability of high quality, accessible data more critical than ever. This paper argues for a shift to a Data as a Product (DaaP), supported by the architectural framework of a Data Mesh, as a path to unlocking value, and securing the necessary trust. By treating data with the same discipline as software products, complete with ownership, lifecycle management, service-level agreements (SLAs), and feedback loops, organizations can establish trust, reusability, and accountability. The paper outlines the three planes of a Data Mesh (infrastructure utility, mesh experience, and data product experience), defines what constitutes a true data product within this model, and highlights rights management as a representative use case where productization resolves longstanding pain points. Finally, the paper examines barriers to adoption and offers a roadmap to success. Benefits include faster insights, reduced costs, new monetization opportunities, AI readiness, and productivity gains. For Media & Entertainment companies facing rising complexity and competition, Data as a Product is no longer optional. It is a business imperative.

Published

2025-10-13

Content type

Original Research

Keywords

data as a product, daap, data mesh, media and entertainment, content supply chain, data architecture, data governance, data pipelines, artificial intelligence, machine learning

ISBN

978-1-61482-966-9