What is the main goal of assessing Data Quality?

The main goal of assessing Data Quality is to ensure the reliability and timeliness of data. This is crucial in data management, as high-quality data is foundational for effective decision-making and operational efficiency within an organization. By evaluating various aspects of data quality, including accuracy, completeness, consistency, and timeliness, organizations can identify potential issues that may undermine the trustworthiness of their data.

Reliability ensures that the data is accurate and can be depended upon for analysis, while timeliness ensures that the data is up-to-date and relevant at the time of use. Together, these elements support the overall integrity of data, allowing organizations to make informed decisions based on solid evidence. When data quality is assessed and maintained, it reduces the risks associated with inaccurate or outdated information, ultimately enhancing the organization's effectiveness in achieving its goals.