Data Quality Management System (DQMS)

The Denowatts DQMS outlines modules and processes used to address data errors that may propagate into analytical misinformation. Common sources of data errors could include out-of-range data, rollup errors, data unavailability, etc. Denowatts DQMS is the SOP that describes how data quality is addressed, including site setup data validation, ongoing benchmark accuracy assessment, curation quality, and data error resolution tools. The complete DQMS specification is available by request.

Related#

• Remote Management and Data Quality Control: how sensors and edge computation support data quality.
• Site Setup Tracker: Data Ingest, Benchmark, and Learned Profile verification.
• How Does It Work?: where DQMS fits in the project lifecycle.
• Contact support@denowatts.com to request the complete DQMS specification.