Spot trends, prevent problems.

The Data Explorer is the platform's tool for digging into stored time-series data. It plots readings from any number of variables in aggregated mode, where each point summarizes a time bucket from 5 seconds up to a year using minimum, maximum, average, sum, standard deviation, sample count, or first and last value, or in raw mode, which shows readings exactly as the device sent them, nothing smoothed away. Time jump buttons step through an incident minute by minute, and alarm thresholds can be overlaid on any plotted variable. The whole state of the view is encoded in the page URL, so a colleague opens exactly what you were looking at from a pasted link. Watch lists and saved configurations preserve the setups your team returns to, and the table exports to CSV at full precision.

Nobody sets a threshold: the baseline is learned from data already stored. Each numeric variable is compared against its own previous fourteen days of hourly readings, hour band by hour band, so a value at 3am is judged against other nights, not the working day. Three detectors run over the same data. Out of range reports how far the latest value sits from its baseline, as a z-score. Stuck sensor flags a value that has stopped moving while its history says it should be moving. Data gap reports readings that stopped arriving, after three consecutive missing hours. Related findings on one asset group into a single incident, and when a related asset picks up the load within hours, the incident is upgraded to a load switchover naming the asset that picked the load up.

Generator compliance reports record each generator load test against Joint Commission requirements, pass or incomplete. Generator runtime reports list every run split into emergency and non-emergency hours, the split EPA reporting asks for. Asset data reports trend the variables of any piece of equipment over a chosen period and include a Report Configuration card recording exactly what was requested, a Data Insights section flagging variability, outliers, trends, and data quality concerns, and optional weather correlation for the asset's location. Every report generates from the same stored readings the rest of the platform uses, so nothing is re-entered by hand, and each saves to PDF or exports to CSV, flat or pivoted. A weekly digest rounds up alarm activity, and load factor analysis reports peak demand and energy use per utility company.

Yes. A scheduled report runs on its own and emails the result as a PDF. The setup is three steps. Report describes what the run covers: the asset, its variables, and a rolling reporting window such as the last 30 days that is resolved fresh on every run. Schedule sets the frequency, hourly, daily, weekly, or monthly, with the hour and day the frequency needs. Delivery collects the recipients, picked from your organization or typed as any address. The list shows every scheduled report with its schedule in plain words, its last result and next run time, and its delivery method, with run history behind each entry. Preview report opens the document as it would generate right now, verifying a schedule before it emails anyone. Permissions separate reading the schedule from changing it.