Availability of data to users is a core competency of a data function, but it is also complicated by data access and security issues. Data lifecycle management makes data simple to locate and access while also enforcing identity and access management protocols.
Applying Agile methodologies through different data iterations is an expectation. Data needs and capabilities constantly change, so only by designing your data lifecycle management plan with the capacity to reiterate and adapt to new circumstances will organizations be able to consistently smooth dataflows at any stage of their lifecycle.
Data custody is the process that ensures obligations are met in terms of how data is secured and used while with your organization. Data security and privacy introduce significant organizational risk at various stages of the data lifecycle, though at some more than others. A clear data custody plan informs your data lifecycle management by clarifying privacy and security expectations all along data’s journey so as to minimize this risk.
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