In accounting, normalization helps in splitting relations into well-structured relations that allow users to insert, delete or update tuples without introducing any database inconsistencies. Normalization prevents many problems that may occur when a user tries to load an integrated conceptual model into the database management systems. The problems are called anomalies and include; update, deletion and insertion anomalies.
An update anomaly is a data inconsistency that results from data redundancy and a possible partial update (Hall, 2015). A deletion anomaly is an unintended data loss of accounting information while doing away with some other data. In this case, the loss happens without the discretion of the user. Combining data from different categories may result in this anomaly while one is doing away with one category of data only to delete the whole information. Deletion anomaly can result in internal loss or critical accounting records and the destruction of the audit trail. An insertion anomaly takes place when a user is not in a position to add data to the database due to the absence of the intended data.
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