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Uber Business Performance Dashboard
1. Which dataset did you use? I used a comprehensive Uber dataset containing ride-level details such as bookings, cancellations, revenue, distance, ride type (Auto, Bike, Sedan, Go Mini, Premier), timestamps (Month & Quarter), customer and driver ratings, and cancellation reasons. This dataset enabled multi-dimensional…
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Food Delivery Analytics Dashboard
Food Delivery Analytics Dashboard This dashboard provides an integrated analytical view of food delivery operations and customer behavior by combining key attributes such as city, cuisine, delivery time, ratings, and order value into a single framework. The dashboard enables dynamic analysis across both monthly and…
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Appliance Service Intelligence Dashboard
Which dataset did you use? I used a synthetically generated Appliances Service dataset designed to simulate real-world Services. This dataset was specifically created to support advanced analytics in Oracle Analytics Cloud. How did you analyze or prepare the data? The dataset was programmatically generated and enriched…
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IT Operations Health & SLA Monitoring Dashboard
Which dataset did you use? I used a synthetically generated server utilization and application performance dataset designed to simulate real-world IT operations. The dataset contains ~5,000 records with 5-minute granularity across 14 servers and 10 applications. It includes: Infrastructure metrics (CPU, memory, disk,…
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Oraclevax Outcomes Monitor
1. Which dataset did you use? I used the Life Sciences Info dataset. This dataset contains life‑sciences outcome data including recovery status, mortality, comorbidities, demographic attributes (age, gender, country), reporting period, and clinical risk indicators. Its structure enables outcome comparison across…
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Super Store Analysis
1.Which dataset did you use? I used the Superstore dataset provided by Oracle as the primary data source for this visualization exercise. 2. How did you analyze or prepare the data? The data was analyzed using Oracle Analytics built-in AI capabilities, including Explain, Auto-Insights. 3. Who is the intended audience for…
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Global Aviation Disruption Command Center
Which dataset did you use? https://www.kaggle.com/datasets/hassnainzaidi/aviation-disruption-2026-benchmark How did you analyze or prepare the data? I used create Dataset to prepare the messy data and Auto-Insights to gain few insights and build dashboard based on provided inputs. Who is the intended audience for your…
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Ai Brains Across World Ranking
The “AI Brains Across World” dashboard provides a comprehensive overview of global artificial intelligence capabilities by comparing countries across three key dimensions: R&D Index, Talent Index, and Infrastructure Index. These indicators collectively represent a nation’s strength in AI research, availability of skilled…
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Threatened and Extinct Animals by Species and Country
1. Which dataset did you use? Datasets provided by IUCN 2. How did you analyze or prepare the data? I used the AI Assistant 3. Who is the intended audience for your visualization? Anyone who has an interest in protecting endangered and threatened animal species 4. What is your visualization about, and what question or…
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Why do People Leave Your Organization?
Which dataset did you use? HCM Employee Final dataset provided by Oracle. How did you analyze or prepare the data? Used Explain on Attrition attribute to find out some key features, Auto-Insights and the AI-Assistant. Because I tried to replicate data and did some random data manually, data can be bias and dashboard can…