Anomaly Detection Statistics Dashboard

Overview

The Anomaly Detection Statistics dashboard gives you an overview of the financial impact, distribution, and structure of detected anomalies for a selected timeframe.

You can use this page to:

• review the total financial impact of anomalies

• compare the current timeframe with the previous one

• identify savings and overspending trends

• analyze when anomalies occur

• review anomaly types, sites, and affected assets

To open the page, navigate to Alert Center -> Anomaly Center and click on Anomaly Statistics Dashboard. ▷ The Anomaly Detection Statistics dashboard opens.

Elements of Anomaly Detection Statistics

[A]	Timeframe selector	Defines which timeframe is shown in the dashboard.
[B]	Dashboard options	Opens a menu where you can add the dashboard as a bookmark, export the anomalies as JSON, and show or hide the dashboard header.
[C]	Main KPI	Displays the main financial and anomaly key performance indicators for the selected timeframe.
[D]	Savings and overspending chart	Shows savings and overspending in a bar chart to help identify trends over time.
[E]	Financial impact heatmap	Shows when anomalies occur and when their financial impact is concentrated.
[F]	Anomaly types chart	Shows how many anomalies exist per anomaly type.
[G]	Site anomaly scoreboard	Shows the number and financial impact of anomalies per site.
[H]	Assets anomaly scoreboard	Shows the affected assets together with the anomaly count and financial impact.

Main KPI

The Main KPI section [C] summarizes the most important values for the selected timeframe.

KPI	Description
Total financial impact	The large value on the left shows the total financial impact for the selected timeframe. A negative value means money was lost due to anomalies. A positive value means money was saved due to anomalies.
Comparison to previous timeframe	Shows how much better or worse the current timeframe is compared with the previous equivalent timeframe. For example, if 1 month is selected, the comparison is made with the previous month.
Money saved	The total impact of anomalies that resulted in savings.
Money overspent	The total impact of anomalies that resulted in financial loss.
Saved per anomaly	The average savings per anomaly.
Overspent per anomaly	The average overspending per anomaly.
Anomalies / Attributes	Shows how many anomalies were detected and how many different attributes were affected.

Financial and consumption impact

Savings and overspending

The chart [D] shows savings and overspending as bars over time.

Use this chart to identify whether the trend is improving or worsening over the selected timeframe.

Financial impact heatmap

The heatmap [E] helps you identify when anomalies occur more frequently or have a stronger financial impact.

◈ For shorter timeframes, the heatmap helps identify patterns such as certain times of day. ◈ For the yearly view, the heatmap is shown by weekday so that you can identify which weekdays are more anomalous.

Overview widgets

Anomaly types

The donut chart [F] shows how many anomalies exist for each anomaly type.

Site anomaly scoreboard

The scoreboard [G] shows the number of anomalies and their financial impact per site.

1. Click on the arrow icon of a site. ▷ The same dashboard opens, filtered for the selected site.

◈ When the dashboard is filtered for a specific site, widget [G] is replaced by Asset Type Anomaly Scoreboard.

Assets anomaly scoreboard

The scoreboard [H] lists the affected assets together with:

• the number of anomalies

• the financial impact

1. Click on the icon at the right side of an asset entry. ▷ The anomaly tab of the selected asset opens.

Notes

• All values shown in the dashboard depend on the selected timeframe [A].

• The comparison value in the Main KPI always refers to the previous equivalent timeframe.

• The site scoreboard can be used to drill down from portfolio level to site level.

• At site level, the site scoreboard is replaced by an asset-type-based view.