adatinkonzisztenciát
Adatinkonzisztencia refers to a state where inconsistencies exist within a dataset. This can manifest in various ways, such as conflicting values for the same entity, missing data that should be present, or data that violates predefined rules or constraints. For instance, a customer record might list different birth dates in separate fields, or a product catalog might have a price listed as zero for an item that is clearly not free.
The causes of data inconsistency are diverse and can arise during data collection, entry, processing, or integration
The impact of data inconsistency can be significant. It can lead to inaccurate reporting, flawed decision-making,
Addressing data inconsistency typically involves data cleaning and data validation processes. Data cleaning aims to identify