Uploaded May 2026 | Updated September 2026, 2 weeks ago
Use Auto Insights and Explain in Oracle Fusion Data Intelligence to generate recommended visualizations and identify patterns, anomalies, and key drivers within financial data. The tutorial also demonstrates how data flows can prepare subject area data for analysis and support a seamless transition back to the full subject area for deeper exploration. Check out additional resources at the links below.
This tutorial demonstrates how to apply Auto Insights and Explain in Oracle Fusion Data Intelligence to analyze datasets created from subject area data. The workflow begins by using a data flow to extract a focused subset of columns and measures from a financials general ledger balance sheet subject area, creating a structured dataset suitable for analysis. The tutorial then shows how to review and configure dataset settings before running the data flow and generating the output dataset. Once the dataset is available, the process continues by enabling insights so Oracle Analytics Cloud can generate recommended visualizations in the background. The video also demonstrates how Explain helps uncover basic facts, key drivers, segments, and anomalies for selected attributes, providing useful starting points for analysis. Suggested visualizations are reviewed and added to the workbook canvas, where they can be customized further if needed. Finally, the tutorial shows how the dataset can be replaced with the original subject area so the same visualizations continue working against a broader source of data. By the end, viewers understand how Auto Insights, Explain, and data flows work together to accelerate analytics exploration while maintaining flexibility for deeper analysis.
Check out detailed instructions on how to use Auto Insights to understand your data: https://social.ora.cl/6001BBgXM5
Check out detailed instructions on how to use Explain to understand your data: https://social.ora.cl/6003BBgX3U
Check out detailed instructions on how to create datasets using data flows: https://social.ora.cl/6005BBgXOL
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6009BBgXuB
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6009BBgXuh
0:00 Auto Insights and Explain with Subject Areas
0:38 Create Data Flow
2:05 Verify Output Dataset
2:26 Enable auto insights in dataset
2:55 Use Explain
3:18 Use Auto Insights
3:40 Analyze Entire Subject Area
Like what you learned about Oracle Analytics Cloud? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
Use Auto Insights and Explain in Oracle Fusion Data Intelligence to generate recommended visualizations and identify patterns, anomalies, and key drivers within financial data. The tutorial also demonstrates how data flows can prepare subject area data for analysis and support a seamless transition back to the full subject area for deeper exploration. Check out additional resources at the links below.
This tutorial demonstrates how to apply Auto Insights and Explain in Oracle Fusion Data Intelligence to analyze datasets created from subject area data. The workflow begins by using a data flow to extract a focused subset of columns and measures from a financials general ledger balance sheet subject area, creating a structured dataset suitable for analysis. The tutorial then shows how to review and configure dataset settings before running the data flow and generating the output dataset. Once the dataset is available, the process continues by enabling insights so Oracle Analytics Cloud can generate recommended visualizations in the background. The video also demonstrates how Explain helps uncover basic facts, key drivers, segments, and anomalies for selected attributes, providing useful starting points for analysis. Suggested visualizations are reviewed and added to the workbook canvas, where they can be customized further if needed. Finally, the tutorial shows how the dataset can be replaced with the original subject area so the same visualizations continue working against a broader source of data. By the end, viewers understand how Auto Insights, Explain, and data flows work together to accelerate analytics exploration while maintaining flexibility for deeper analysis.
Check out detailed instructions on how to use Auto Insights to understand your data: https://social.ora.cl/6001BBgXM5
Check out detailed instructions on how to use Explain to understand your data: https://social.ora.cl/6003BBgX3U
Check out detailed instructions on how to create datasets using data flows: https://social.ora.cl/6005BBgXOL
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6009BBgXuB
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6009BBgXuh
0:00 Auto Insights and Explain with Subject Areas
0:38 Create Data Flow
2:05 Verify Output Dataset
2:26 Enable auto insights in dataset
2:55 Use Explain
3:18 Use Auto Insights
3:40 Analyze Entire Subject Area
Like what you learned about Oracle Analytics Cloud? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
