Anomaly: Something that deviates from the standard, normal, or expected. This can be in the form of a single data point, record, or a batch of data
Accuracy: The data represents the real-world values they are expected to model.
What do we mean when we say “this” and how is “that” important? Check out our Qualytics Glossary for terms we use to assist in creating Confidence in your data.
Anomaly: Something that deviates from the standard, normal, or expected. This can be in the form of a single data point, record, or a batch of data
Accuracy: The data represents the real-world values they are expected to model.
Burndown Charts: A graphical representation of completed and remaining work versus time.
Comparison: An evaluation to determine if the structure and content of the source and target data stores match
Comparison Runs: An action to perform a comparison
Completeness: Required fields are fully populated.
Conformity: Alignment of the content to the required standards, schemas, and formats.
Connectors: Components that can be easily connected to and used to integrate with other applications and databases. Common uses include sending and receiving data.
Consistency: The value is the same across all datastores within the organization.