Adatminségre

Adatminségre is a Hungarian term that translates to "data quality" in English. It refers to the overall condition of data, encompassing various attributes that determine its fitness for use. High data quality means that the data is accurate, complete, consistent, timely, valid, and unique. Conversely, poor data quality can lead to flawed analysis, incorrect decision-making, and inefficient processes.

The concept of adatminségre is crucial in fields such as business intelligence, data science, and information management. Organizations invest in data quality management initiatives to ensure their data assets are reliable. This involves processes like data profiling to understand the current state of data, data cleansing to correct errors, data standardization to ensure uniformity, and data validation to maintain accuracy over time.

Several factors can impact adatminségre. These include manual data entry errors, system integration issues, outdated information, and a lack of clear data governance policies. Addressing these issues proactively is essential for any entity that relies on data for its operations and strategic planning. Ultimately, good adatminségre is fundamental to deriving value from data and achieving organizational objectives.