Research on Data Quality Control Strategies from the Perspective of Information Lifecycle Management

DOI: https://doi.org/10.62517/jiem.202603204

Author(s)

Liyu Deng

Affiliation(s)

Jingdezhen Ceramic University, Jingdezhen Jiangxi, China

Abstract

The Data level is a fundamental material of assets in this age of information; the quality of decisions made and how business runs smoothly depends largely on its value according to ILM theory, we carefully study all kinds of possible risks and puzzles along the way while data forms for uses from storage archiving, storing until destruction: We explain why everything just gets worse inside even when there are outer things included as part of the full-fledged set up of entire end -to- end supervising processes about any single one system proposing most important answers mainly but not limited by standard acquisition methods which should always remain vigilant cleansing activities regarding the metadata save.

Keywords

Information Lifecycle Management; Data Quality Control; Strategy

References

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