In this tutorial, we walk through how to use Auto Insights and Explain to analyze subject area data in Oracle Fusion Data Intelligence. By first creating a dataset from selected subject area data, you can use these capabilities to quickly identify patterns, generate suggested visualizations, and find useful starting points for further analysis.
In this video tutorial you’ll learn how to:
- Create a data flow using the Financials GL Balance Sheet subject area as the source.
- Select relevant attributes and measures to build a focused GL balance sheet dataset for analysis.
- Save and run the data flow to generate the dataset and verify that it is ready to use.
- Enable Auto Insights to generate recommended visualizations based on the dataset.
- Use Explain to identify basic facts, key drivers, segments, and anomalies in your data.
- Add and customize suggested visualizations in a workbook to explore financial measures.
- Replace the dataset with the original subject area while retaining existing visualizations when the schemas match.
By using a focused dataset with Auto Insights and Explain, you can quickly identify useful patterns and visualizations without having to determine every starting point manually. You can then switch back to the full subject area to continue your analysis with more detailed data while retaining compatible visualizations.
Watch the full tutorial to see the complete workflow. For more information about data flows, see the Oracle Help Center documentation on data flows in Oracle Analytics Cloud, which covers creating curated datasets from subject areas and other sources. You can also learn more about Auto Insights in the What Are Auto Insights? documentation and Explain in the Analyze Datasets with Multiple Tables using Oracle Analytics Explain tutorial.
For hands-on learning, explore the Oracle Analytics and AI Learning Hub.
