Along with Data Quality Issue Tracker (DQIT), DQD runs on top of the DQC engine to complete the Ataccama ONE Data Quality & Governance solution.
The diagram below depicts a typical Data Quality process employing these key components:
DQD is an ideal tool for businesses seeking to monitor data quality continuously. With the ability to obtain snapshots of system data quality at any given time, DQD provides clear statistical visualization of the current state of data, as well as quick, accurate identification of data quality trends. This insight allows company decision-makers to make informed choices about future business processes.
DQ Dashboard monitors the fulfillment rate of rules defined by data stewards for entities, attributes, and data domains. The module includes trending analysis, custom alerts, and sharing of configured dashboards.
The product contains multiple levels of customizable dashboards, offering a master Dashboard for a quick management overview of data quality, an admin-defined Dashboard with key metrics visible to all users, as well as a user-defined Dashboard with metrics and charts that are specific to each user.
DQ Dashboard supports configurable alerts to keep users informed of critical metric violations. User-defined actions can be triggered, followed by direct dashboard visualization or email notifications (alerting the responsible person).
DQ Dashboard is completely independent of data domain. It monitors the quality of your customer and product data at the same time.
To further support the root-cause analysis, all rules allow the user to drill to detail to the original records to see the context of the problem.
The rules definition is visible in the web-based application, allowing for a quick understanding of the invalid data’s cause. Aside from the number of invalid records, DQD also provides the user with a detailed breakdown that explains the cause of the invalidity, whether the original value is missing, insufficiently populated, or incorrect.
DQ Dashboard uses a modern web-based user interface with minimal requirements on the client machine—only a web browser is necessary.