# Aggregations in BuildingPro Suites

BuildingPro Suites offers **dynamic real-time aggregations**, which allow for efficient evaluation of large amounts of data. Instead of analyzing raw sensor data point by point, users can choose different aggregation methods to quickly identify relevant correlations.

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## What are Aggregations?

Aggregations summarize data over a specific period to make patterns and trends more easily visible. This helps to:

* Identify **long-term developments**
* Identify **irregularities or outliers** more quickly
* Make **reports & visualizations** clearer
* Enable **efficient calculations** for large amounts of data

Users can choose the aggregation interval and method at any time to display data in the way that makes the most sense for their analysis.

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## Available Aggregation Methods

Depending on the use case, various aggregation methods are available:

### Average (Mean)

**Calculation**: All values within the aggregation period are summed and divided by their number. **Application**: Useful for displaying **typical values** of a sensor over a certain period, e.g.:

* Average temperature per hour
* Average energy consumption per day

### Sum Counter

**Calculation**: The values within a time interval are summed up. **Application**: Useful when the total amount of a measured variable needs to be determined, e.g.:

* Total water consumption per day
* Total number of person movements per hour

### Cumulative Counter

**Calculation**: Continuously adds values over time and returns the accumulated value. **Application**: Particularly suitable for **continuously increasing values**, such as:

* **Total energy consumption** over a month
* **Total number of items produced** on a production line

### Minimum (Min)

**Calculation**: The smallest value within the selected aggregation interval is output. **Application**: Helpful when you need to determine how low a measured variable was, e.g.:

* **Lowest temperature of the day**
* **Minimum humidity during a week**

### Maximum (Max)

**Calculation**: The highest value within the aggregation period is output. **Application**: Useful for analyzing peak values, e.g.:

* **Highest power load of a building per hour**
* **Maximum speed of a machine during an operating cycle**

### Time Weighted Average (TWA)

**Calculation:** Each measured value is weighted according to the time it was valid within the aggregation interval. Values that are present frequently or for longer periods influence the average more strongly than values that occur briefly.

**Application:** Particularly useful for measurement series in which values rarely change or outliers should not be overweighted, e.g.:

* Temperature profiles with rare peak values
* Energy consumption with individual load peaks
* Status measurements where the duration of a value is crucial

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## Flexibility in Aggregation

In every view that supports aggregations, users can freely decide:

* **Time period of the aggregation** (minutes, hours, days, weeks, months...)
* **Aggregation method** (average, minimum, maximum, etc.)
* **Immediate updating** of the calculated values without re-configuration

This flexibility allows data to be optimally adapted to the respective analysis needs—be it for **dashboards, reports, automations, or rules**.

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## Where can Aggregation be used?

* [**Data View** → Structured overview of measured values](https://docs.buildings.ability.abb/collection/mandatory-base/assets/asset-data)
* [**Widgets in Smart View & Dashboards** → Aggregated visualization of sensor data](https://docs.buildings.ability.abb/collection/platform/live-cockpit/widgets)
* [**Rule Chains** → Using aggregated values as a basis for decisions](https://docs.buildings.ability.abb/collection/platform/alarms-rules-and-escalations/rule-chains)
* [**Analytics & Reports** → Selection of the desired aggregation level for detailed analyses](https://docs.buildings.ability.abb/collection/platform/analytics-and-reports)