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The Invisible Epidemic
1. What dataset did you use? I used a "Mental Health Crisis" dataset covering 50 countries from 2000 to 2024. The dataset included the following key attributes: Depression prevalence Anxiety prevalence Suicide rate per 100,000 DALY burden measures Treatment access and treatment gap Social media usage Academic pressure…
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HR Employee Attrition Dashboard
Answers to the questions Which dataset did you use? I used a synthetic HR dataset designed to simulate real-world employee data. It includes attributes such as employee demographics, job roles, performance ratings, salary, tenure, hiring sources, and attrition details. The dataset was further enhanced with…
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OTT Platform Analytics
OTT Platform Analytics This dashboard provides an integrated analytical view of OTT content performance by combining content attributes like genre, language, ratings, and viewership into a single decision-support framework. It connects audience engagement metrics with content characteristics to identify trends,…
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Superstore U.S. by TT
1. Which dataset did you use? Superstore Dataset provided by Oracle 2. How did you analyze or prepare the data? I used Auto-Insights to understand, what the data is about. Furthermore, I invested the data on my own and created some additional KPIs in the dataset. 3. Who is the intended audience for your visualization?…
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IT Service Intelligence Tower
Which dataset did you use? I used a service management dataset with around 10,000 records covering the last 3 years. It includes ticket details like issue type, priority, status, SLA, resolution time, location, category, and satisfaction. How did you analyze or prepare the data? I cleaned the data by removing duplicates…
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AutoPulse (Car Service Dashboard)
1. Which dataset did you use? The dataset which is synthetic and represents the simulation of real-world service operations of a Car Service network running across 7 service centers in Chennai. It captures 23 months of day-to-day service activity, from the first customer walk-in to the final invoice — tracking every repair…
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AI Feature Adoption in Oracle Fusion
https://us.v-cdn.net/6037859/uploads/O3YB2GOQCHYC/ai-feature-adoption-in-fusion-with-racing-bars.dva 1. Which dataset did you use? I used a dataset of aggregated telemetry data from Oracle Fusion which enables the calculation of various AI metrics. For this visualisation competition, I focused on two monthly aggregated…
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Bengaluru Traffic Pulse
1. Which dataset did you use? Bangalore Traffic Dataset from Kaggle 2. How did you analyze or prepare the data? I used Auto-Insights and the AI-Assistant to gain few insights and build dashboard based on the inputs. 3. Who is the intended audience for your visualization? Ideal for general public, urban planners and smart…
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Strategic Workforce Analysis: Gender & Departmental Pay Structure
This Treemap visualization provides a comprehensive breakdown of the 'Daily Rate' across Human Resources, R&D, and Sales, segmented by Gender. By leveraging Oracle's advanced Trellis layout, I have identified key distribution patterns to help leadership ensure equitable resource allocation.
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incidents
I used the Auto Insurance dataset provided by Oracle. I created an aggregate visual of insurance claim amounts by state and subseqiuently did a drill down to look at the most common accident types by weekday for each given state. My intended audience is state agencies that would use the analysis to provide a Public Service…