What defines the role of data governance in telemetry systems?

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Multiple Choice

What defines the role of data governance in telemetry systems?

Data governance in telemetry systems establishes the framework for who owns data, how it’s defined and measured, how data flows and transforms (data lineage), who can access it, how long it’s kept (retention), and how regulatory requirements are met. This ensures the data used for monitoring and decision-making is accurate, traceable, secure, and compliant with laws and policies. It also assigns responsibility for data quality, sets standards for metadata, and enforces controls and audits across the data lifecycle, which builds trust and accountability in the telemetry ecosystem. Other aspects like managing network bandwidth focus on performance, deleting PHI after a fixed period is a privacy action rather than a governance framework, and designing dashboard colors is about presentation and user experience, not governance.

Data governance in telemetry systems establishes the framework for who owns data, how it’s defined and measured, how data flows and transforms (data lineage), who can access it, how long it’s kept (retention), and how regulatory requirements are met. This ensures the data used for monitoring and decision-making is accurate, traceable, secure, and compliant with laws and policies. It also assigns responsibility for data quality, sets standards for metadata, and enforces controls and audits across the data lifecycle, which builds trust and accountability in the telemetry ecosystem.

Other aspects like managing network bandwidth focus on performance, deleting PHI after a fixed period is a privacy action rather than a governance framework, and designing dashboard colors is about presentation and user experience, not governance.

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