How to Use Metric Attributes in Enforcium

Metric Attributes in Enforcium add extra context to your metric data. They let teams record additional characteristics alongside a metric value and analyze results across different dimensions. This makes metric data easier to interpret and gives teams more detail when reviewing performance.

For example, a metric can represent the number of completed orders. An attribute could identify the Region associated with each result. Another attribute could describe the Customer Segment.

The attribute becomes part of the metric data. When values are entered, the relevant attribute values can be recorded alongside them.

A single metric can represent results from several areas of a business.

Attributes give teams a way to add meaningful dimensions to that data. They help answer questions about where a result came from or which category it belongs to.

This additional context can support:

• analyzing results across different dimensions;
• understanding differences between groups;
• reviewing metric data in greater detail;
• identifying patterns in performance;
• interpreting changes in a metric over time.

Attributes are especially useful when a total value alone does not provide enough information for analysis.

Once Attributes are available for a metric, you can assign their values when recording new data.

Open the metric and click Add Data. Enter the Metric value, then select the relevant value for each available Attribute. You can also add details about the update if more context is needed.

For example, if a metric has Department and Country as Attributes, you can select the appropriate department and country when entering the result. This connects the metric value with the context it represents.

Click Save Data to record the update. The selected Attribute values are saved with the metric data and become available in the metric’s Attributes section.

Viewing data by Attribute

After data is saved, Enforcium groups the recorded values by their Attribute values in the metric’s Attributes section. Select an Attribute to see how its values are distributed and how much each value contributes to the total.

The section can show the Attribute value, its Amount, and the corresponding percentage. This makes it easier to understand how the metric is distributed across the selected dimension.

A metric can contain additional dimensions that are useful for analysis.

For example, a business could track a revenue metric with attributes such as Region and Customer Type. Each recorded value can then carry the relevant context.

Multiple attributes can provide a richer view of the same metric. They allow teams to examine results according to several characteristics that matter to the business.

Every data update is recorded in the metric’s Change History, together with the information associated with that entry.

Each history entry can include:

• Metric Value — the recorded value for the metric;
• Trend — the percentage change compared with the previous value;
• Attributes — the selected Attribute values associated with the metric data;
• Details — additional information provided with the update, when available;
• Date — the date when the data was entered;
• Entered By — the person who entered the data.

The Attributes column shows the selected values directly in each history entry. If several Attributes were selected when the data was added, their values appear together in the same record.

This gives each metric update additional context, making it easier to understand what a recorded value represents when reviewing historical data.

Attributes are one part of the broader metric structure in Enforcium.

The Metric Tree organizes metrics and their relationships. Metrics can also have a department, ownership, data type, value type, and KPI. Attributes add another layer of context to the recorded data.

This creates a more informative measurement system. Teams can review the overall metric while also examining the characteristics associated with its individual results.