Data quality and the availability of a perquisite number of data samples are important aspects for digital solutions in order to provide analytical outcomes based on that data. Data Auditor helps users monitor data health and manage data issues that could otherwise impact intelligent outcomes.
The Data Auditor can monitor and improve the quality of data and analytics. OBEM calculates the data health score at portfolio, location, and building levels to help users to understand the overall quality of data and identify areas of potential problems. Data Auditor showcases the following:
- The controllers responsible for poor data health score
- The impacted meters and equipment
- The best and worst locations and buildings as a data quality trend
The Data Health scores help users to identify the overall quality of data right from a single data point to the enterprise level. Data Health scores key metrics by component, including Gateways, BAS controllers, and meters, to identify areas of impact including equipment. OBEM displays detailed views of detected data anomalies, such as spikes, out of range values, flat lines, and missing context.
The Data Auditor monitors gateway health based on the heartbeat functionality of the data collection device, and is extended to OpenBlue Bridge. Users receive recommendations for improvement, for example, data health score, details of offline gateway, offline controller, and BACnet controller not responding. These recommendations help to improve the overall data health score. The gateway health history helps users to understand issues and receive tips for improving data health score based on the incident type.
Data Auditor can list the following:
- Controllers at building level impacting the data loss
- Meter details at building level impacted due to poor quality or missing data
- Details of equipment impacted due to missing or poor quality data
- Equipment details such as associated space and FDD count
Use this information to understand the impact of data loss in OBEM, identify the controllers responsible for data loss, and to take quick action to improve the data health score to a positive level.