It follows that good data has certain qualities.
Completeness
In light of the goal of offering users with details for economic choices, complete details is adequate to fulfill the needs and needs of the myriad of users. In inclusion, there is the presumption no error of omission was made in producing the information.
Relevancy
Relevancy is a naturally very subjective idea, but it associates to whether the data relates to a specific objective or intended user. For example, information that is related to an inventory manager might not be wholly relevant to the line manager. Good bookkeeping information is concise and not protracted or needless either. When information is not relevant, time is wasted in trying to determine relevant information and the cost of generating information increases significantly...................read more at>>>Qualities of good accounting information
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