Through the resident system, these records are matched with each person's basic information. You can click to clearly see this person's entry and exit frequency over the past six months, the items brought back each time, and frequently visited activity locations.
Using this miscellaneous data for analysis is actually the prototype of modern big data.
By observing the changes in big data, one can immediately analyze the shifting threats around Happiness City, as well as determine the risk levels of individuals from the source.
For instance, people who go far away every day require a more complex inspection process compared to others.
Similarly, if a person frequently visits a certain place, it needs to be analyzed to see if there is any issue.
Changes in harvests can even reveal resource distribution, and analyze the reasons behind this distribution.
Of course, these ideas are currently just a vague framework and can't even be considered an actionable plan.
Why?
