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Data Lifecycle Management (DLM)
Data Lifecycle Management (DLM)
Well-informed data-driven decisions with Data Lifecycle Management.
Businesses store more data than ever before. But what do you do with this so-called ‘pot of gold’? How do you get the insights from your data that can fundamentally improve your business? Get actionable insights with Data Lifecycle Management.
What is DLM?
There is an increase in the number of organizations running devices and software that generate data to meet business and user needs. In order to gain insights and use the data to your advantage, you need to manage, transform, process, aggregate, and interpret your data.
Knowing where to start your data journey can be a challenging question. Your data should be undertaken in several phases in order to become valuable. Whatever your data questions are, you need to follow all (or several) of these phases. Therefore we created Data Lifecycle Management (DLM).
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Listed Since: 05/16/2023
Last Updated: 05/16/2023
STAR Level 1
Self-Assessment & Partner-Provided
CAIQ Self-assessment v4.0.2
Offers an industry-accepted way to document what security controls exist in IaaS, PaaS, and SaaS services. It provides a set of Yes/No/NA questions and space to justify the response a cloud consumer and cloud auditor may wish to ask of a cloud provider to ascertain their compliance to the Cloud Controls Matrix (CCM).
