Exploring the SAP Analytics Cloud AI Functionality for Augmentation

Create one or several predictive models that automatically learn from your historical data, and find the best relationships or patterns of behavior to easily generate predictions for future events, values, and trends. For example, predictive forecasting takes different values into account, and also looks at trends, cycles, and fluctuations in your data.

Right-click a chart element or data point in a table, and the system adds context. For example, in a table with a total salary value, SAP Analytics Cloud can help determine what the key contributors are to that total.

Create a story automatically with supervised machine learning using regression for measures and classifications if you select a dimension.

Request information in natural language simply by typing a question about your data. You can access this AI-driven feature from the Home page or from the icon in the main horizontal menu.

Some of these augmented features are unique to either live or imported data models, and some apply to both. For example:

• Search to Insight for live data is supported for all live connections except for SAP HANA Cloud and SAP Datasphere.
• Smart Insight for live data is supported only for SAP HANA on-premise.
• Smart Predict on acquired data is supported for datasets and planning models but not for analytic models.
• Smart Predict on live data is supported only for SAP HANA on-premise.

The SAP Analytics Cloud just ask feature must be enabled by system administrators. Currently, Search to Insight is the default application. For more information on the SAP Analytics Cloud just ask feature, including the most complete and up-to-date list of supported prompts and restrictions, you can visit Exploring Your Data with Just Ask | SAP Help Portal

For more information on Search to Insight, you can visit Search to Insight | SAP Help Portal

The SAP Analytics Cloud just ask feature supports a variety of different natural language query (NLQ) input options, so simply ask your questions (using U.S. English) and instantly get answers displayed as either simple tables or charts. For example, you can ask the just ask feature to show you data for:

• Sales by region
• Sales for 2023
• Sales for this quarter
• Top 3 products by gross margin

In the following example, you can see a chart created using the SAP Analytics Cloud just ask feature and six of the key points to note.

1. Open the just ask feature from your horizontal menu bar, as highlighted in the previous image.
2. Select your model using the Select model dropdown list, as shown above.
   • Select Add Model to Search to add models to the current session.
   • If a specific model you want to search is not listed, you can request to have it indexed for the just ask feature by selecting Click here to create a model request to an admin.
3. To help you with starting a query, select the + Add to Search icon to the left of the search field. Select any entry from the list available measures, and dimensions to populate the search field.
4. Enter your question directly in the field and press the Search icon. Depending on the target model, the actual inputs will vary.
   • As you type, you can select auto-complete suggestions to populate the search field.
   • Keyword suggestions will display below the search field. Select any to add them to the search question.
5. Interact with the data using the interaction options (from left to right):
   • Change from a Chart to a Table using the first two interaction options.
   • Select the Analyze Data icon to open the Data Analyzer in a separate tab, displaying the data from your search result.
   • Copy your charts by using the Copy icon to copy the card and paste the contents into a story page using the Ctrl + V shortcut.
   • Select the More Options option to set or reset drill levels, sort the display in ascending or descending order, set rank, or export the data as CSV or Excel files.
6. The Suggestions section is a list of queries generated by the system to help you explore different aspects of the current data model.