Data governance helps organizations manage their data (internal and external) and ensure it is relevant, secure, useful and accessible.
Data lifecycle refers to the various stages that data goes through, from acquisition to visualization and reporting.
Data visualization is representing information using visuals such as charts, graphs, maps, infographics and dashboards.
Data analysis means evaluating data to extract useful business insights that help people make better decisions.
Data science is the science (and art) of making data talk. This requires using several methods, processes and algorithms from mathematics, statistics and computer science to extract actionable insights from data.
Data storage is recording digital information in a storage medium such as a hard disk, a company server, a cloud-based storage system, a data warehouse or a data lake.