Opportunity brief
Overview
Welcome to Visualize It!, a fast-paced quiz designed to test your knowledge and understanding of Data Visualization and Business Analytics.
From interpreting charts and graphs to identifying trends, patterns, and outliers, the quiz challenges you to look beyond numbers and understand the story that data tells. Test your ability to select the right visualization, interpret business data, and make informed analytical decisions under time pressure.
The Technology Management Club of the University College of Business Management, Osmania University, is a student-driven initiative that creates opportunities for students to learn, compete, connect, and grow.
Through engaging competitions, quizzes, interactive events, and learning initiatives, the Technology Management Club provides a platform for students to challenge their knowledge, showcase their skills, and experience healthy competition.
For more exciting competitions, events, and updates, join our WhatsApp group and stay connected with the Technology Management Club, Osmania University.
Click here to join the WhatsApp group
Quiz Details:
- 50 Multiple-Choice Questions
- 2 Marks per Question
- Total Marks: 100
- Overall Time Limit: 10 Minutes
- Time Limit per Question: 10 Seconds
- Topic: Data Visualization & Business Analytics
Rules:
- Each participant is allowed only one attempt.
- Each question must be answered within 10 seconds.
- The entire quiz must be completed within the overall time limit of 10 minutes.
- Do not use Google, AI tools, books, notes, or any external assistance.
- Any form of cheating or unfair practice may lead to disqualification.
- The participant with the highest score will be declared the winner.
- In case of a tie, the participant who completes the quiz in the shortest time will be ranked higher.
- The decision of the organisers will be final and binding.
Prizes:
- 1st Prize: ₹500 Cash Prize + Certificate of Achievement
- Ranks 2–10: Certificate of Appreciation
Think visually. Analyse smart. Discover the story behind the data.