Building AI-Ready Data Products at Scale: Inside the Tiger Analytics Industry Domain Framework

Scaling AI-ready data products requires embedding context, ownership, and trust into how data is designed and consumed. As enterprises move from isolated use cases to interconnected ecosystems, fragmented metrics, siloed teams, and weak governance can limit both adoption and impact. Our Industry Domain Framework addresses this by combining domain-driven design, interoperable architecture, and persona-linked intelligence to create data products that are not only reusable and scalable, but also interpretable and actionable. The result is a connected blueprint that enables organizations to move from data proliferation to decision intelligence at scale.