What are the six stages of data lifecycle management?

Data lifecycle management includes six stages: data acquisition, data storage, data processing, data transmission, data exchange and data destruction.

Data collection: refers to the stage when new data is generated or the content of existing data is greatly changed or updated. For an organization, data collection includes both data generated by the internal system of the organization and data collected from the outside.

Data storage: refers to the physical storage stage of non-dynamic data in any digital format.

Data processing: refers to the combination of a series of activities carried out by an organization on dynamic data.

Data transmission: refers to the process of data flowing from one entity to another through the network within the organization.

Data exchange: refers to the stage of providing data in the process of interacting with external organizations and individuals through internal organizations.

Data destruction: refers to the process that data and data storage media are completely lost and cannot be recovered by corresponding operation means.

The life cycle of specific data is determined by the actual business scenario, and not all data will go through six stages completely.

Display and use:

In this era of data explosion, human's data analysis ability has lagged far behind the ability to obtain data. This challenge lies not only in the large amount of data, high dimensionality, multiple sources and polymorphism. It is also manifested in the dynamics of data acquisition, the noise and contradiction of data content, and the heterogeneity and heterogeneity of data relations.

Moreover, it is not human instinct to think through pure numbers, numerical items and other data, and it is not easy to make quick and accurate judgments and decisions when necessary. Faced with these challenges, we can use the means of data visualization to complete the transformation from data defined by DIWK (data, information, knowledge and wisdom) model to wisdom.