What are the 3 Main Goals of Data Lifecycle Management?
The three main goals of data life cycle management are following;
- Data Security/Confidentiality.
Data Lifecycle Management:
Refers to the structuring of the steps followed within a company to optimize its useful life.
This data management needs the use of resources which is offered by information technology for its processing. It is possible to collect data for analysis and track it until the moment of its purging or storage.
Data lifecycle management helps companies to manage the flow of data in their businesses. This process of data management includes the creation of data to its use, achieving, sharing, and deletion. By tracking the data correctly, companies can protect their sensitive information.
The three main goals of data management lifecycle are;
Confidentiality means to protect information from third-party access. The management process needs to protect the sensitive information of the company from being exposed to the outside environment. They are required to check the integrity of the data. It involves recording and preserving business data appropriately.
Availability refers to the extraction and maintenance of information that should be available to the users throughout the lifecycle. It relates to the availability of the useful, clean and precise data to all users. It will increase the efficiency of the company processes.
Data integrity means the reliability and trustworthiness of data throughout the lifecycle of the data. It describes the state of the data, such as its validity or invalidity. And the process of its preserving the validity and accuracy.
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