Installing samples in watsonx BI

You can choose one of the following prebuilt samples to familiarize yourself with watsonx BI. Each sample is optimized for AI and comes with prebuilt metrics that you can use immediately to ask questions in Conversations.

These samples are a great way to explore:

  • Watsonx BI's natural language interface through conversations, including types of questions you can ask for each sample data

  • The structure of a metric definition

  • How sample data was modeled and optimized for AI

You are prompted to load a sample when you first setup watsonx BI.

If you choose not to load sample data at the time of setup, you can access them later from Configuration and settings.

During the sample setup, watsonx BI automatically creates a similarly named project for the sample.

Using sample data

After the sample setup is complete, you can go to:

  • Conversations to ask questions about the sample data

  • Data and Metrics to view the associated semantic data model and metric definitions

Samples in Conversations

When you are in Conversations, you can set the scope of the conversation to the sample project and ask questions about the data in the sample. You can do this by selecting the sample project name from the list next to the input box and entering your question.

The conversation remains scoped to the sample data until you change it from the input box list.

Samples in Data and Metrics

The Data and Metrics tab is where you can create metrics, access semantic data models, and upload files.

You can access the semantic data model for your sample data on the Metrics tab to see how the data was set up and modeled.

Modifying metric definitions or the semantic data model might cause unexpected results in conversations.

  1. On the Data and Metrics > Metrics tab, select the sample project name from the project list.

  2. Open the sample semantic data model.

You are now on the Metrics overview page. You can see the sample metric in the Metrics overview panel. Click the metric's menu icon and select View details to see the scope of the metric and other details.

On the Metrics overview page, click Advanced mode to view details such as the measures, columns, and data tables that are used in the metric definition. You can also see relationships between the tables, applied filters, calculations, and more.

Check the column properties. Each one must have a Name, Description, and an Identifier. These properties help AI in retrieving information to answer your question.

Next steps

Review these topics for more details about each sample, including examples of questions you can ask against each data set.