Data landscape is a comprehensive view of all data assets and their interactions within an organization.

Data landscape encompasses the various data sources, data repositories, data flows, data processing, and data usages across the enterprise. The data landscape provides a holistic perspective on how data is collected, stored, processed, and utilized to support business operations, decision-making, and strategic objectives. A well-managed data landscape is critical for organizations to make informed decisions, ensure data accuracy and consistency, and maximize the value of their data assets. It also supports data governance, data quality, and data integration efforts to meet business and regulatory requirements.

Grover, Raj (2023). Data landscape. LinkedIn post.