As noted recently by thought leader Tom Davenport, organisations are adopting the concept of Data as a Product in order to provide faster access to usable, governed datasets for analytics. In fact, the shift from Data Warehouses to Data Lakes was in response to the need to scale analytics capability and value by decentralising the data model; the shift to Data Products fulfils the need to scale data governance, by decentralising data governance to Data Product Owners. In this session, dive deep into the what, why and how of "Data as a Product" on the modern data architecture, and the scope of the emerging role of Data Product Owner. This approach addresses the challenges of data governance at scale and data democratisation, and enables accelerated time to value for new and existing data assets.