Cher Fox
Data Quality Management Best Practices
𝑾𝑯𝑨𝑻: Denver Dev Day
𝑾𝑯𝑬𝑹𝑬: Microsoft, Denver Tech Center, 7595 Technology Way, Suite 400, Denver, CO 80237
𝑾𝑯𝑬𝑵: Friday, October 18
𝑻𝑰𝑴𝑬: 11:20 am
𝑺𝑬𝑺𝑺𝑰𝑶𝑵: Data Quality Management Best Practices
𝑹𝑬𝑮𝑰𝑺𝑻𝑬𝑹 𝑭𝑹𝑬𝑬 HERE.
This presentation examines the key practices for effective data quality management, and will provide a practical roadmap to enhance, or implement, data quality practices. Addressing data quality management is essential for organizations to ensure the success and reliability of next generation technology (AI, LLMs, etc.) implementations and this talk will provide valuable insights applicable from the C-Suite to the data enthusiast.
I will first analyze the strategic definition of data quality standards, emphasizing various principles. The importance of proactive data profiling, coupled with regular assessments, is then highlighted for identifying and addressing anomalies. The session also reinforces the significance of a robust data governance framework, automated validation processes, and metadata management to ensure contextual insights.
Continuous monitoring, supported by alert systems, is discussed for tracking data quality metrics in real-time. Cultivating a data quality culture through user training and awareness is suggested as a vital component. The presentation also explores the utilization of data quality metrics and key performance indicators to benchmark and assess effectiveness. The commitment to continuous improvement concludes the discussion, emphasizing the importance of regularly reviewing and adapting practices to evolving business needs.
If you are feeling squirrely, catch my colleague Jason Horner at 10:20 am for his session 𝑭𝒓𝒐𝒎 𝑫𝒂𝒕𝒂𝑶𝒐𝒑𝒔 𝒕𝒐 𝑫𝒂𝒕𝒂𝑶𝒑𝒔: 𝑴𝒂𝒏𝒂𝒈𝒊𝒏𝒈 𝒀𝒐𝒖𝒓 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆 𝑪𝒐𝒅𝒆 𝒘𝒊𝒕𝒉 𝑺𝑸𝑳 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔.
Hope to see you there!