> For the complete documentation index, see [llms.txt](https://docs.buildings.ability.abb/collection/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.buildings.ability.abb/collection/suites/energy-and-sustainability-intelligence/energy-anomaly-detection/anomaly-detection-statistics-dashboard.md).

# 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*](/collection/platform/alert-center.md) -> [*Anomaly Center*](/collection/suites/energy-and-sustainability-intelligence/energy-anomaly-detection/anomaly-center.md) and click on **Anomaly Statistics Dashboard**.\
▷ The *Anomaly Detection Statistics* dashboard opens.

### Elements of *Anomaly Detection Statistics*

<figure><img src="/files/T3AGF9qOdzdTETBztaoS" alt=""><figcaption></figcaption></figure>

<table data-header-hidden><thead><tr><th width="50.5999755859375">Marker</th><th width="271.2000732421875">Element</th><th>Description</th></tr></thead><tbody><tr><td><strong>[A]</strong></td><td>Timeframe selector</td><td>Defines which timeframe is shown in the dashboard.</td></tr><tr><td><strong>[B]</strong></td><td>Dashboard options</td><td>Opens a menu where you can add the dashboard as a bookmark, export the anomalies as JSON, and show or hide the dashboard header.</td></tr><tr><td><strong>[C]</strong></td><td>Main KPI</td><td>Displays the main financial and anomaly key performance indicators for the selected timeframe.</td></tr><tr><td><strong>[D]</strong></td><td>Savings and overspending chart</td><td>Shows savings and overspending in a bar chart to help identify trends over time.</td></tr><tr><td><strong>[E]</strong></td><td>Financial impact heatmap</td><td>Shows when anomalies occur and when their financial impact is concentrated.</td></tr><tr><td><strong>[F]</strong></td><td>Anomaly types chart</td><td>Shows how many anomalies exist per anomaly type.</td></tr><tr><td><strong>[G]</strong></td><td>Site anomaly scoreboard</td><td>Shows the number and financial impact of anomalies per site.</td></tr><tr><td><strong>[H]</strong></td><td>Assets anomaly scoreboard</td><td>Shows the affected assets together with the anomaly count and financial impact.</td></tr></tbody></table>

### Main KPI

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

<table><thead><tr><th width="222">KPI</th><th>Description</th></tr></thead><tbody><tr><td><strong>Total financial impact</strong></td><td>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.</td></tr><tr><td><strong>Comparison to previous timeframe</strong></td><td>Shows how much better or worse the current timeframe is compared with the previous equivalent timeframe. For example, if <strong>1 month</strong> is selected, the comparison is made with the previous month.</td></tr><tr><td><strong>Money saved</strong></td><td>The total impact of anomalies that resulted in savings.</td></tr><tr><td><strong>Money overspent</strong></td><td>The total impact of anomalies that resulted in financial loss.</td></tr><tr><td><strong>Saved per anomaly</strong></td><td>The average savings per anomaly.</td></tr><tr><td><strong>Overspent per anomaly</strong></td><td>The average overspending per anomaly.</td></tr><tr><td><strong>Anomalies / Attributes</strong></td><td>Shows how many anomalies were detected and how many different attributes were affected.</td></tr></tbody></table>

### 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.


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