As the pace of business change accelerates, data management executives are under increasing pressure to deliver value faster from data and analytics. The challenge is to enable self-service and faster time to value, but without compromising on data governance – the safety rails that prevent people “doing stupid things with data”. We have already seen the shift from Data Warehouses to Data Lakes in response to the need to accelerate time to value by decentralising the data model. We are now seeing a second megatrend, as the shift to Data Products fulfils the need to scale data governance. In this session, dive deep into "Data as a Product" on the modern data architecture, and 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.