Adatpontosság

Adatpontosság refers to the degree to which data accurately represents the real-world object or event it describes. It is a crucial aspect of data quality, ensuring that information is reliable and trustworthy for decision-making and analysis. High adatpontosság means that the data is free from errors and closely aligns with the actual state of affairs. Conversely, low adatpontosság can lead to flawed conclusions and ineffective actions. For example, if a dataset tracking customer addresses has a high degree of adatpontosság, it will accurately reflect where customers actually live. If it contains numerous typos or outdated information, its adatpontosság is poor. Achieving and maintaining adatpontosság often involves rigorous data validation processes, data cleansing techniques, and clear data governance policies. It is essential in various fields, including statistics, business intelligence, scientific research, and government operations, where decisions are heavily reliant on the accuracy of the collected data. Ensuring adatpontosság is an ongoing effort that requires continuous monitoring and improvement of data collection and management practices.