Data completeness is an important aspect of Data Quality. Data Quality is a reference to how accurate and reliable the data is overall. Data completeness specifically focuses on missing data or how complete the data is, rather than concerns of inaccurate or duplicated data. A lack of data completeness is normally the result of information […]
Data Quality Assessment: Measuring Success
The goal of a Data Quality assessment is not only to identify incorrect data but to also estimate the damage done to the business’s processes and to implement corrective actions. Many large businesses struggle to maintain the quality of their data. It is important to remember data is not always in storage and static but […]
What Are Data Quality Dimensions?
Data Quality dimensions allow users to measure the quality of the data they have on hand and determine whether it can be used for business or if any further improvements must be made. Without using Data Quality (DQ) dimensions, it can be hard to gauge the value and usefulness of the data. These dimensions, or characteristics, need to be […]