Timeliness is an important characteristic of data quality. What does this mean?

Timeliness in the context of data quality refers to the degree to which data is current and available for use when needed. When it is stated that "the data must be up-to-date," it highlights that information should reflect the most recent and relevant data points available. This is crucial in many fields, such as finance, healthcare, and marketing, where decision-making relies heavily on the latest insights. Outdated data can lead to ineffective strategies and poor decisions, as conditions change rapidly, and timely information is essential for maintaining competitive advantage and operational efficiency. Thus, ensuring that the data is up-to-date is vital for maintaining high-quality data that stakeholders can rely on.