Healthcare is inherently data-intensive, encompassing various domains from medical imaging and diagnostics, patient records management, and pharmacy logistics to demand forecasting, operational planning, and financial performance tracking. The provision, quality, and assurance of data are requisites for operations and services and impacts the uptake of artificial intelligence (AI) and the outcomes from AI, including generative AI. Across the healthcare sector, from the frontline general practice, outpatient care, hospitals, homecare, preventative care, patient support, logistics, pharmacy, research, ancillary services, waste disposal, or government oversight and reporting, the demands for integrated systems with assured data provision for outcomes are required. AI, including generative AI, is intensifying the extent, rate, significance, and business impacts, as well as recovery and risk management, surrounding the data required. This current and emerging demand places a premium on core data governance and data practices, which the healthcare sector seeks to address, as well as providing a range of business opportunities, which are explored further in this chapter from a business perspective.