Products act as the foundation for your data-led projects, resulting in valuable, always ready data to help move projects forward quickly. Data teams focused on business impact are more effective at prioritizing data delivery demands. Data products include pre- integrated data approved for use which is trusted by consumers, improving the cycle time to analytics delivery. Time to Analytics (speed) A critical promise behind data products is that they must support DataOps practices for agile data integration, continuous integration / continuous delivery, change management and issue resolution (schema drift). DataOps Support (agility) Data products enable domain teams to get closer to data by providing well-documented schema, semantics, ontology and usage guidance increasing reliability. Trust Product management principles support iterative and agile best practices to create, maintain, operationalize and manage the life cycle. Data products can be reused and scaled across use cases quickly Reusability (scale) Monetizing data, by sharing it across data exchanges and marketplaces, requires the creation of data products. New Revenue Streams (monetization)