Data quality refers to the condition of data based on its ability to serve its intended purpose. High-quality data is accurate, complete, error-free, up-to-date, and reliable. High-quality data is more reliable for decision-making and analysis.
High-quality data is extremely helpful for an organization. Having accurate data will reduce the occurrence of any errors in data-driven operations Using high-quality data means that any insights generated by using that data will be more accurate. As a logical next step, this means that any decisions taken by acting on that data will be more effective, leading to better results from implementing those decisions.
For any organization, having high-quality data should be a huge priority. It reduces the likelihood of making bad data-driven decisions while increasing the likelihood of making good ones. This helps the organization run more smoothly and effectively.