In data governance for IoT, which area focuses on ensuring data continues to be stored, managed, and accessible for analysis over time?

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Keeping data for the long term is what data storage in IoT governance focuses on. It ensures that data is physically stored, organized, and kept accessible so analysts can perform historical analysis, run trend studies, and support audits over time. This includes durable, scalable storage solutions, retention policies, and proper data lifecycle management to prevent loss or inaccessibility. Data processing is about transforming and preparing data for use, not its persistence. Data privacy governs who can access data and how it’s protected, which is essential but separate from ensuring long-term storage and accessibility. Data generation is about creating data at the source, not about maintaining it for future analysis.