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 measures: Cumulative AI-assisted tasks completed (by task type) Distinct AI users Additional context on…
1. Which dataset did you use? Life Science: Case Info dataset provided by Oracle (although I had to export it to amend some weird dates that was causing issues on joints). 2. How did you analyze or prepare the data? I used Oracle Analytics Auto-Insights and Explain to surface key patterns and understand the data structure.…
1. Which dataset did you use? Superstore Dataset provided by Oracle 2. How did you analyze or prepare the data? I used Explain, Auto-Insights and the AI-Assistant. 3. Who is the intended audience for your visualization? Superstore Sales manager. 4. What is your visualization about, and what question or problem does it…
1. Which dataset did you use? Superstore Dataset provided by Oracle 2. How did you analyze or prepare the data? First, I explored the dataset to understand the available dimensions and measures such as sales, profit, quantity, discounts, and shipping/order dates. Based on this analysis, I identified the most relevant…
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?…
This dashboard presents a structured analytical study of elite marathon performance using detailed split-level race data from multiple international events. It provides both macro and micro-level insights into pacing strategy, endurance distribution, and performance consistency across major competitions. The visualization…
1. Which dataset did you use? I used a Coffee Sales transactional dataset that includes: Order details (Order ID, Date, Time) Product information (Coffee Name, Category) Sales metrics (Revenue, Quantity, Transaction Value) Time attributes (Hour, Day, Month, Quarter) 2. How did you analyze or prepare the data? Data…
1) Which dataset did you use? The Adventure Works dataset — a fictional cycling equipment retailer covering sales transactions from January 2015 to July 2017. It spans six markets across North America,Europe and the Pacific, with customer demographics, product details and financial metrics all merged from multiple…
1. Which dataset did you use? HCM Attrition dataset, enhanced to reflect a realistic workforce environment. The original dataset contained several atypical distributions that would not exist in a real organisation that have been corrected so that the data tells a coherent and credible story: one where pay reflects…
Which dataset did you use? We used the Flight schedule, Flight costs dataset as the core source for the aviation dashboard, along with the supporting dimensional structures. How did you analyze or prepare the data? We analyzed the data using semantic search and also used OAC AI Insights to extract relevant facts and…