AZDQ: Interactive data quality management tool.
DQ Technologies, Inc. 184 followers on LinkedIn. We are a leading provider of Order Delivery Tracking, GPS Tracking, Integrated mapping solutions, vehicle maintenance management systems, mobile. Doceree is a Programmatic Physician Engagement Platform, founded in 2019 by acclaimed healthcare and marketing professionals. The Doceree platform seamlessly connects pharmaceutical brands and digital platforms, and allows products and services of the former to be marketed to physicians on the latter’s.
AZDQ is an interactive data quality management framework that allows users to specify thedata quality rules, attributes, entitlements and error thresholds as data is ingested into theApollo ecosystem. This tool will integrate with the centralized MDM application through API’s and will allows usersto specify data quality rules for new and existing data feeds.Core features include:
1. Rule Definition through interactive drag and drop UI
2. Basic and advanced data quality functions should be built into the tool. For e.g., datechecks, bounds, delimiters, error thresholds etc.
3. Rule Governance – Ability for supervisors to review and approve DQ rules
4. Ability to define both preventive (pre-ingestion) and detective (post-ingestion) rules fordata feeds
5. Ability to raise corrective action based on the outcomes of DQ checks including Accept/Reject/Suspend feed and Alert registered users
6. Attribute Profiling
7. Versioning and Entitlement
8. Volume based trending and predictive analytics9. Attribute Stats collection
10. Logging & Monitoring including:
a. Threshold breach and Job abends
b. Issue Management and Resolution
11. Subscription based alerts
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AZDQ: Interactive data quality management tool.
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AZDQ is an interactive data quality management framework that allows users to specify thedata quality rules, attributes, entitlements and error thresholds as data is ingested into theApollo ecosystem. This tool will integrate with the centralized MDM application through API’s and will allows usersto specify data quality rules for new and existing data feeds.Core features include:
1. Rule Definition through interactive drag and drop UI
2. Basic and advanced data quality functions should be built into the tool. For e.g., datechecks, bounds, delimiters, error thresholds etc.
3. Rule Governance – Ability for supervisors to review and approve DQ rules
4. Ability to define both preventive (pre-ingestion) and detective (post-ingestion) rules fordata feeds
5. Ability to raise corrective action based on the outcomes of DQ checks including Accept/Reject/Suspend feed and Alert registered users
6. Attribute Profiling
7. Versioning and Entitlement
8. Volume based trending and predictive analytics9. Attribute Stats collection
10. Logging & Monitoring including:
a. Threshold breach and Job abends
b. Issue Management and Resolution
11. Subscription based alerts