In the actual operation of ERP system, data
management must adhere to the principle of data-centric, data
standardization, improved data optimization, and data
maintenance work should attach great importance to the
accuracy, completeness and timeliness of data. In this paper,
group enterprise data standardization and group management
and control are analyzed and researched on data maintenance
strategy and core master data characteristics, the Group's
business features, data maintenance strategy, maintenance
organization architecture design, organization architecture
responsibility, data maintenance process design, data
maintenance timeliness, data maintenance quality, particle
data management are all analyzed in detail from a multi-
dimensional perspective. The design, advantages and
disadvantages of the three maintenance strategies,
maintenance organization and maintenance process program
are compared and analyzed, and the corresponding solutions
are put forward.
In the actual operation of ERP system, data management must adhere to the principle of data-centric, data standardization, improved data optimization, and data maintenance work should attach great importance to the accuracy, completeness and timeliness of data. In this paper, group enterprise data standardization and group management and control are analyzed and researched on data maintenance strategy and core master data characteristics, the Group's business features, data maintenance strategy, maintenance organization architecture design, organization architecture responsibility, data maintenance process design, data maintenance timeliness, data maintenance quality, particle data management are all analyzed in detail from a multi-dimensional perspective. The design, advantages and disadvantages of the three maintenance strategies, maintenance organization and maintenance process program are compared and analyzed, and the corresponding solutions are put forward.
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