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- It explains how Data Quality Metrics are captured by creating a rule in Informatica IDQ. It also explains how these rules are executed and how the results are consumed by Axon. Adhoc frequency helps trigger a rule immediately and fetch the results.
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Axon can import data quality information from profiles and scorecards that you define in Informatica Data Quality. You can create profiles to analyze the content, quality, and structure of data sources.
- Preface - Informatica
Use the Axon Data Governance User Guide to learn how to use...
- Data Governance Adoption Measurements - Axon, EDC, and IDQ
Usage Statistics, Trending & Reporting: Refer to the...
- How to Create Local and Standard DQ Rules in Axon 7.0
All Data Quality dashboards seen in Axon relate to local...
- Preface - Informatica
Jul 25, 2023 · Usage Statistics, Trending & Reporting: Refer to the attached document and leverage the framework to Measure the Data Governance program. Axon Change Request Statistics
Axon automated the process of rules in Informatica Data Quality and displayed the data quality scores to you. The rule automation significantly reduces the effort to run data quality rules and increases productivity.
May 25, 2023 · All Data Quality dashboards seen in Axon relate to local data quality rules and reports. Before you can create a local data quality rule, you must create a data set with at least one attribute. Data quality rules are measured against the attributes in the data set.
What is the approach to classify information easily and efficiently in Axon ? Similarly, how can I classify information in EDC if I do not have DPM? How can I easily generate a 360 graphical view of related and impacted assets in Axon? How to segment information based on LOBs/departments in Axon ?
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Axon displays data quality reports based on data quality rules that you configure. Axon supports local data quality rules and standard data quality rules. Local data quality rules are assigned against attributes upon which scores are recorded.
Key concepts for a successful Data Quality program: Establishing processes to reach consensus on Critical Data Elements (CDEs) Once a consensus is reached, prepare and assign responsibilities and accountabilities for ensuring quality The following execution flows will help in understanding: