What are the essential steps for conducting an aeolytics data quality audit

Conducting a data quality audit in aeolytics involves several critical steps. Start by defining the audit scope, which includes selecting the data sets and specific quality metrics to be evaluated, such as accuracy, completeness, consistency, and timeliness. Next, gather and organize all relevant data from various sources, including turbine sensors and meteorological data. Use data profiling techniques to analyze the data’s current state and identify any anomalies or inconsistencies. Develop a set of validation rules based on industry standards and best practices, and apply these to the data to assess its quality. Document any issues found and prioritize them based on their impact on operations. Finally, create a remediation plan to address the identified data quality issues, and establish a continuous monitoring process to maintain data integrity. Key Takeaway: An effective aeolytics data quality audit involves defining scope, applying validation rules, and continuous monitoring.