Explore OAS Self-Service Analytics
By External Provider
About this course
What if you could turn a raw Excel budget file into a boardroom-ready dashboard within a few hours – no SQL required? This short course was created to help business intelligence professionals accomplish end-to-end self-service analytics in Oracle Analytics Server. By completing this course, you'll be able to connect governed data (subject areas curated by IT or data teams), enrich it through no-code data flows, and publish interactive dashboards your stakeholders can actually use. By the end of this course, you will be able to: Connect to Subject Areas and upload local files to create reusable data sets Cleanse, join, and enrich datasets using no-code Data Flows Build interactive dashboards using data visualisation, Explain, and BI Ask This course is unique because it leverages OAS's AI-driven Explain and natural-language BI Ask features. To succeed, you should have basic spreadsheet skills and familiarity with data concepts such as joins, measures, and dimensions.
What you will learn
- Data prep creates analytical value—joins, cleansing, and calculated fields decide whether dashboards inform decisions or mislead.
- AI shifts analysts from chart builders to insight curators—tools like Explain and BI Ask speed discovery, but human judgement remains key.
- AI-assisted exploration shifts the analyst's role from chart-builder to insight curator — features like Explain and BI Ask accelerate discovery, but
- Reusable data assets compound value—datasets, data flows, and dashboards scale impact far beyond a single report.