DGIQ-W23: Next Gen Data Quality Monitoring
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Modern data technology can take an organization beyond the basic data quality capabilities of after-the-fact warning reports and after-the-fact consistency checking. This presentation will briefly discuss how to leverage big data technology to improve data quality.
This presentation will cover:
- A brief reminder: the standard data quality improvement life cycle
- Raising the bar: monitoring latency for improvement
- Proactive data quality improvement: using machine learning and predictive analytics to provide recommendations
Speaker: April Reeve
April Reeve has spent the last 30 years working as a Data Management Strategist, Enterprise Information Architect, and Data Program Manager.
April is an expert in multiple Data disciplines, including Data Architecture, Data Integration, Big Data, Enterprise Master Data Management, Data Governance, Data Migration, Data Warehousing, and Data Modeling.
April is a Board member of DAMA Philadelphia.
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