How to Share Workbook URL with Persisted Filter Values in Oracle Analytics @Oracle

Uploaded May 2026 | Updated September 2026, 2 weeks ago

Share Oracle Analytics Cloud workbook URLs with persisted filter values to deliver consistent, filtered insights across teams and improve collaboration around business analytics. See additional details on how Oracle Analytics Cloud and Oracle Fusion Data Intelligence simplify workbook sharing workflows and filtered data access at the resources linked below.

In this tutorial, we demonstrate how to share a workbook URL with persisted filter values in Oracle Analytics Cloud and Oracle Fusion Data Intelligence. The walkthrough shows how to configure a workbook so shared links open with the same filter selections already applied, helping teams review consistent analytical views without manually resetting filters.

The demo begins with preparing a sales analysis workbook by applying customer segment and city filters. It also highlights how saved states can simplify workbook configuration by quickly applying predefined filter selections. By using the current state option when copying a workbook link, organizations can distribute analytics that preserve the intended business context and support more aligned decision-making.

The tutorial also explains how sharing options work within workbook exports and how to validate that persisted filter values remain intact when opening a shared URL in a new browser session. This approach helps maintain consistency when distributing dashboards, reports, and filtered analytical views across stakeholders.

Oracle Analytics Cloud and Oracle Fusion Data Intelligence support collaborative analytics workflows by making it easier to share curated insights with teams, business users, and decision-makers. Watch the full demonstration to learn how persisted workbook states improve analytics sharing experiences, streamline collaboration, and reduce the need for repeated filter configuration across enterprise reporting environments.

Check out detailed instructions on how to create and share a workbook URL that persists selected filter values in a workbook: https://social.ora.cl/6007BBgXrP

Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6005BBgXTV

Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6007BBgXpL

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

How to Share Workbook URL with Persisted Filter Values in Oracle Analytics

How to Limit Filter Bar Interactions in the Consumer View in Fusion Data Intelligence

Oracle AI World Tour London 2026: Opening Keynote

Oracle and Well Done Foundation: Plugging Abandoned Oil and Gas Wells

Access World: Attended Oracle AI World for Broader AI Knowledge in One Place

How to Build and Test Multi-Agent Systems in Oracle AI Data Platform

Advancing Enterprise Search with Oracle AI Vector Search

Deloitte on Modernizing Defense Missions: Oracle TV at Defence Tech Summit 2026

Pelindo Solusi Digital: Simplifying National Port Operations with Oracle Cloud Infrastructure

How to Set Up an Oracle AI Data Platform Instance

$AI Changes Everything: Inside Oracle Red Bull Racing’s AI Edge See how Oracle Red Bull Racing combines AI, simulation, software engineering, and data science to improve race strategy, vehicle development, and engineering productivity in Formula One. Learn how explainable AI, human expertise, and data-driven decision-making create competitive advantage at https://social.ora.cl/6002BDMP8M In this episode of AI Changes Everything, Martin Galpin, head of technology at Oracle Red Bull Racing, explains how AI, simulation, software engineering, and data science help one of Formula Ones most successful teams compete where every decision and every fraction of a second matter. Galpin discusses how Oracle Red Bull Racing develops specialized software that cannot be purchased commercially, creating tools that support aerodynamics, vehicle performance, race strategy, simulators, and engineering teams. He explains why simulation and computational modeling have become essential as Formula One teams work within strict limits on testing, wind tunnel usage, and computational resources. The conversation explores how AI is used across the organization, from improving information retrieval and engineering productivity to modeling vehicle sensors and supporting physical and data-driven analysis. Galpin also shares how generative AI is reshaping software engineering, why the cost of creating code continues to decline, and why maintaining, governing, and understanding software remain essential engineering responsibilities. The discussion examines where AI adds the most value and where human judgment continues to play a critical role. Galpin explains why explainability is essential for race strategy, how engineers balance physical models with machine learning techniques, and why trust in AI systems depends on understanding how recommendations are produced rather than simply accepting them. Beyond Formula One, Galpin shares his perspective on the future of software engineering, evolving hiring practices, the importance of domain expertise, and how engineers can use AI to solve increasingly complex problems. He concludes by explaining why AI is most valuable when it strengthens the capabilities of talented people instead of replacing them. 00:00:00 Introduction & Opening Question 00:00:33 Meet Martin Gallatin 00:01:51 Technologys Role in Formula One 00:03:11 Red Bulls Software Culture 00:04:16 Formula One Development Constraints 00:06:00 Regulations Drive Innovation 00:06:50 AI Across the Team 00:08:42 Generative AI in Engineering 00:10:54 When Humans Beat AI 00:13:18 Physical vs Data Models 00:14:11 AI and Software Engineers 00:17:08 Martins Career Journey 00:18:38 AI Quickfire Round 00:20:00 Formula Ones AI Future 00:21:55 AI Should Empower Humans 00:22:50 Favorite AI Prompting Tips 00:23:57 Closing Remarks Like what you learned from this AI Changes Everything podcast? Subscribe now https://social.ora.cl/60025k87j Join us at Oracle AI World: https://social.ora.cl/60035eVvJ Contact Oracle AI sales: https://social.ora.cl/6006cxqAp Learn more about Oracle AI: https://social.ora.cl/6002cxQcY Try Oracle AI for free: https://social.ora.cl/6007CEo8B AI Solutions Hub: https://social.ora.cl/6000cxQWQ 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$

Apply Auto Insights and Explain on Subject Area Data using Data Flows in Oracle FDI