How do you manage data lifecycle automation across different teams and stakeholders?
Data lifecycle automation across different teams and stakeholders involves implementing processes and tools to streamline the flow of data from creation to retirement. It ensures that data is managed efficiently and securely throughout its lifecycle, enabling collaboration and decision-making across teams. By automating tasks such as data capture, storage, processing, and analysis, organizations can improve productivity, reduce errors, and enhance data governance.
March 19, 2024