The data catalog in Mews Business Intelligence organizes all available data entities that you use for reporting. You use the data catalog to find and organize relevant metrics, attributes, and facts when building custom dashboards in Mews Business Intelligence. You do this when you want to ensure that dashboards show accurate and relevant data for your needs. You complete this task in Mews Operations or Mews Multi-Property.

 

In this article, you can learn about:

• Using the data catalog in Mews Business Intelligence
  • How to access the data catalog
  • How to find data using search and type filters
  • How to add data to visualizations
  • Hidden data items

 

Using the data catalog in Mews Business Intelligence

How to access the data catalog

You can access the data catalog through a prebuilt dashboard or by creating a new dashboard.

 

To access the data catalog by creating a new dashboard:

1. In Mews Operations, go to the main menu  > Business Intelligence > Overview.

2. Click Create dashboard, then drag and drop a visualisation onto the screen.

3. Click on the visualisation and select Edit.

4. On the data catalog screen that opens, you can now search data to create your custom visualisation.

 

To access the data catalog through a curated dashboard:

1. In Mews Operations, go to the main menu  > Business Intelligence > Overview.

2. Open an existing dashboard, for example, Pickup.
3. On the dashboard view, click More actions.

 

4. Select Explore from here.

 

5. Click to customize your metric using the data catalog options, and search for data:

The data catalog organizes all available data entities that you can use in custom dashboards, and appears on the left side of the screen.

 

It includes:

• Metrics: Calculated values such as revenue or occupancy
• Facts: Raw numerical values
• Attributes: Describe data such as property name, date, or booking source

 

The data catalog groups and sorts data to make navigation easier. It:

• Groups and items sort alphabetically
• Items without a group appear in Ungrouped, which always appears at the bottom of the catalog

 

You can filter the data catalog by data type using the buttons at the top.

 

The data catalog shows only items that are relevant to the current visualization. Items that do not work with the selected data are automatically hidden. When the system hides items, the data catalog displays a message indicating how many items are not visible. This helps prevent incorrect or unusable visualizations.

 

How to find data using search and type filters

You can use the search bar to quickly locate the data you need. To do so:

 

1. Select the search bar at the top of the data catalog.
2. Type to enter part of a metric, fact, or attribute name.

3. Click to apply the type filters to narrow results to metrics, facts, or attributes.

 

Search scans item names and group names and updates results automatically.

 

How to add data to visualizations

You add items from the data catalog to build visualizations for custom dashboards.

1. Search to find the metric, fact, or attribute in the data catalog you want to use, for example, Early check in.
2. Drag the item into the appropriate section of the visualization, such as metrics or grouping.

The visualization updates immediately.

 

For example, dragging available rooms into metrics and property name into grouping creates an overview of availability by property.

 

Hidden data items

The data catalog automatically hides data items that do not apply to the current visualization. This behavior helps you avoid creating visualizations that do not return meaningful results.

 

The system hides data items when:

• The visualization type you select does not support them
• The data does not relate to the metrics or attributes already in use
• The combination of data produces incomplete or invalid results

 

When this happens, the data catalog displays a message that shows how many items are hidden.

 

For example, attributes that do not support grouping hide when you build a visualization that requires grouped data.