Watch (or read the transcript of) the following TedTalk: The human insights missing from big data by Tricia Wang. Then, respond to the questions below:
Tricia’s underlying point of her talk was that even with all this quantitative data and statistical analysis techniques, it still does not tell us everything. Sometimes richer (or deeper) data is needed. Why do you think we still need the human element in order to understand and make the best predictions/decisions?
As a manager, what do you think will be your best process for making decisions that balances the messages in qualitative (or deep) and quantitative data?