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Financial Market Analysis (April 2025 Event)
1. Which dataset did you use?
Bloomberg Historical Data (2024 – 2025)
2. How did you analyze or prepare the data?
Data Flow and Auto-Insights
3. Who is the intended audience for your visualization?
Intended audience is investment professionals (portfolio managers, risk committees, etc.) seeking a concise, cross-asset view of market dynamics related to the April 2025 volatility event that occurred across global financial markets.
4. What is your visualization about, and what question or problem does it address?
This dashboard is designed to communicate key correlations and shifts (identified by Oracle Analytics AI features) related to U.S. large and small-cap equities, developed ex-U.S. dividend-yielding equities, and Treasury yields - highlighting how these instruments interacted before, during, and after the volatility shock. The goal is to provide an institutional-grade, data-driven perspective on regime shifts, relative risk, and cross-market capital flows - enabling timely and actionable insights related to portfolio allocation, risk management, and macro-level decision-making.
5. Did you use any Oracle Analytics AI features when building your visualization (ex. AI Assistant)? If so, please describe how they were used
Explain, One-Click Analytics (Forecast, Trend, Reference), and AI Assistant
Comments
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@Matt_B Hi Matt! Was your post to the viz gallery intended to be a submission for the analytics and ai challenge?
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@Rasta Ghafouri-Oracle Hi Rasta! I emailed the formal submission to you and the designated email address
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@Matt_B Great, thank you! Would you be able to attach your dva file to this post and answer these questions additionally? https://community.oracle.com/products/oracleanalytics/discussion/28018/analytics-and-ai-challenge-submission-template
Great job and thank you for participating!0 -
@Rasta Ghafouri-Oracle completed, thanks!
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Nice work on putting this viz together, good color scheme and easy to follow layout
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Excellent visualization and storytelling. Great analytical depth combined with clear visual design.
Great work and Thanks for sharing, @Matt_B!
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