Reports in Energy Intelligence are grouped into the following 'Views'. A 'View' is the main source of data used to create the Report.
The following pages will shows examples of the Reports, along with a link to take you to the Report in your Energy Intelligence.
Report Link - click on the link to log into Sigma and view the Report | Thumbnail | Report Description |
Data Monitoring - Data Quality Overview | Details the total stats for Data Quality across all sites | |
Data Monitoring - Data Quality Total Stats | Provides the overall impact for each type of Data Quality check. | |
Data Monitoring - List of Quality Notifications | Shows a list of all open data quality notifications relating to gaps, unexpected or overdue data in the context of the meter and channel to which they relate. | |
Data Monitoring - Periods Affected By Poor Data Quality | Indicates the total notifications and impact over time. | |
Data Monitoring - Progress Working Recent Notifications | Provides a timeline of how well notifications are being completed to achieve data quality. | |
Data Monitoring - Quality by Data Source | Details the overall impact for each of the Data Sources. Contains Drill Through from the Channel Data Source to the List of Quality Notifications report | |
Data Monitoring - Site Affected Meters | Shows all meters and their channels for a site and their data quality issues. | |
Data Monitoring - Top 10 Worst Sites for Data Quality | Displays the top 10 sites based on the highest total impact (in Hours) of data quality issues. Covers Gaps, Overdue Data and Unexpected Data. Monitoring Strategies must be configured accordingly from the Data Monitoring Activity in Sigma for this to report anything. (Drill through to Site Data Quality Dashboard) | |
Data Monitoring - Total Data Quality Measure | Displays progress towards working all data monitoring notifications for data quality. | |
HH Consumption (Last 30 days) Drill Down | Provides a view of periodic data for a selected site or channel. All the charts in this report will default to the last 30 days. It will provide a heat map to show the usage for each half hour period across each day of the week. This will help highlight suspect usage. It will also provide a view of the trend for each day in the period, a breakdown of the data by each half hour period and a view of the total by day of the week. |