-
Spend Analytics Dashboard project
1. Which dataset did you use? I used a Procurement Spend Transaction dataset, which includes procurement records such as Transaction ID, Supplier Name, Category, Cost Center, Item Code, Item Description, Quantity, Unit Price, Spend Amount, Agreement Flag, and Invoice Date. The dataset represents procurement activities…
-
Superstore Profitability Dashboard
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…
-
Project Portfolio Profitability Insights Dashboard
Project Portfolio Profitability Insights Dashboard (Oracle Analytics Cloud)I recently built an Oracle Analytics Cloud (OAC) dashboard designed to provide clearer visibility into project portfolio financial performance. In large project portfolios, it is often difficult to quickly understand which projects are driving…
-
Spend by Category vs Supplier
1. Which dataset did you use? Spend Transaction Data from the data samples provided on the 2026 DataViz Challenge. 2. How did you analyze or prepare the data? I used the Auto Insights feature to quickly build a dashboard using key metrics I use to analyze Operational Procurement spend from an Supply Chain Management…
-
From Risk to Results: Turning Responsible AI into Clinical Impact
Question 1: Which dataset did you use? I created a synthetic dataset simulating three years of clinical AI usage across 16 clinicians at Cedar Valley Family Clinic (January 2023 – February 2026). The dataset contains 12,106 rows tracking every AI interaction across five adoption phases: No AI, Direct AI, Basic Filter,…
-
Life Science Pharmacovigilance Case Analytics Dashboard
1. Which dataset did you use I used a Life Science Pharmacovigilance Case Reporting dataset, which contains information related to patient case reports including demographics, medical history, adverse events, product information, and reporting details. The dataset includes attributes such as patient age, gender, country of…
-
MEDCORE - Hospital Intelligence
1.Which dataset did you use? I used a Hospital Management data with the following key attributes. Patients - Core demographic, clinical status, severity scores, LOS data Medications – Drug Administration, Missed Doses, Schedules Labs – Test Orders, Result Status Readmissions – Previous Admissions, Reasons, Days Since…
-
Dubai Airlines Global Network & Performance Dashboard
This dashboard provides a comprehensive analysis of Dubai Airlines’ operational efficiency and financial performance across its global network. It combines passenger trends, route distribution, aircraft utilization, and profitability metrics into a single integrated analytical view. On the operations side, the dashboard…
-
Patient Outreach: Abnormal Batches
https://us.v-cdn.net/6037859/uploads/BQQ1V0GIO1K3/abnormal-batches.dva 1. Which dataset did you use? Life Sciences 2. How did you analyze or prepare the data? The data was analyzed by focusing on a single product (OracleVax) and then prepared the data by normalizing fatalities and serious adverse events per 100 patients,…
-
Traffic Car Crash Risk Analysis
What dataset did you use? I used a Traffic Crash dataset containing structured crash-level data with the following key attributes: Crash time details (Hour, Day of Week, Month) Weather conditions Road surface condition Traffic control device & device condition The dataset represents historical crash records and includes…