Western Governors University (WGU) ITEC2002 D322 Introduction to IT Practice Exam

Quality data is characterized by its precision, validity, and reliability. When data is precise, it means that it is accurate and reflects true values without errors. Validity indicates that the data measures what it is intended to measure, ensuring that it is relevant and applicable to the context in which it is used. Reliability signifies that the data consistently yields the same results under similar conditions, which is crucial for making informed decisions based on that data.

Quality data is essential for effective analysis and decision-making in any information technology practice. High-quality data supports better insights, enhances the credibility of findings, and ultimately leads to better outcomes for projects and processes. While ease of access and the ability to manipulate data contribute to the usability of data, they do not inherently define the quality of the data itself. Similarly, having data stored across multiple platforms or utilizing outdated and incomplete data would detract from its quality, thereby highlighting the importance of precision, validity, and reliability as the key characteristics of quality data.