Observed Signal · May 10, 2023 · Other · Source: CMSWire · Impact: 2/5 · Sentiment: Neutral
A Guide to Data Governance: 5 Elements in Top Models
This CMSWire article presents a comprehensive guide to data governance, outlining five essential elements based on insights from industry experts. It emphasizes the importance of executive-level support, a progressive governance framework, taxonomy and labeling for sensitive data, rigorous data quality management, assignment of clear responsibilities, and data retention policies. The piece cites statistics showing that only 49% of enterprise decisions are driven by data and just 10% are powered by insights. Experts from companies like Tredence, Verisk Marketing Solutions, OvalEdge, Razorfish, Publicis Sapient, BigID, and Dasera provide practical advice on implementing effective data governance models. The article advocates for incremental implementation, leveraging AI technologies, and treating governance as a living, evolving policy to maintain data integrity, security, and compliance.
Editorial guide on data governance frameworks, relevant to MarTech but not a specific industry news event.
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Key Takeaways & Evidence Grounding
- Only 49% of enterprise decisions are driven by data and only 10% are powered by insights (Arnab Sen, Tredence).
- Data governance requires executive-level support and resources (Christine Frohlich, Verisk Marketing Solutions).
- The five essential elements are: progressive framework, taxonomy/labeling, data quality framework, assignment of responsibilities, and data retention policies.
- Experts from OvalEdge, Razorfish, Publicis Sapient, BigID, and Dasera contributed insights.
- The article recommends implementing governance incrementally with AI technologies.
Connected Companies & Entities
3 Entities mapped“Sisi Zhang, Razorfish executive vice president of data science and analytics, discussed taxonomy and labeling....”
“Raymond Velez, Publicis Sapient global chief technology officer, emphasized the need for taxonomy and data governance responsibilities....”
“Peggy Tsai, BigID chief data officer, spoke about a rigorous data quality framework....”
Ontology Mapping & Concepts
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