The human insights missing from Big Data

1. Why did some people in ancient Greece visit oracles?

• To seek medical treatment

• To get advice from the gods about the future

• To learn new scientific discoveries

• To train as philosophers

2. What is the 21st-century form of the oracle?

• Supercomputers

• Artificial intelligence and big data analytics

• Social media influencers

• Political leaders

Complete this: Investing in _______ is easy, but using it is hard.

• knowledge

• technology

• big data

• artificial intelligence

4. 4.What is Tricia Wang's job? What does she do actually?

• A software engineer who builds AI models

• A data scientist who only works with big data

• An ethnographer who studies human behavior and collects thick data

• A market analyst who predicts financial trends

5. Why did NOKIA disregard Tricia Wang's advice?

• They believed their current data was sufficient

• They thought her research methods were outdated

• They were already investing in new smartphone technology

• They wanted to focus on feature phones instead of smartphones

6. What’s the difference between BIG data and THICK data?

• Big data is qualitative, while thick data is quantitative

• Big data provides numerical insights, while thick data provides deep human understanding

• Big data is small-scale, while thick data is large-scale

• There is no real difference; both are used in data analysis

7. What does quantification bias mean? How can it be avoided?

• The tendency to trust qualitative data over quantitative data; it can be avoided by focusing only on numbers

• The belief that only numbers provide reliable insights; it can be avoided by combining big data with human-centered thick data

• The practice of underestimating big data results; it can be avoided by investing in more AI tools

• The assumption that all data is equal; it can be avoided by ignoring qualitative insights