The ability to process information is limited by your computation resources (which are finite). So because you have this finite ability to process then it follows that giving you even more information doesn't mean you'll be able to process more information. It also means just because you can process it, as in turn the data signals into something coherent and measurable, it doesn't mean you can then use that information to produce knowledge (some scientific facts). In order to achieve wisdom you have to actually compound your knowledge and to produce knowledge requires doing things in a scientific manner.
So a data scientist isn't just analyzing information the way you or I might do it. The data scientist at a minimum must know statistics and algebra. More importantly the wisdom component is based on the model of the world that the data scientist is relying on. If that model of the world is accurate then as new knowledge is produced and added then the model becomes even more accurate. This accurate model of the world allows for the wisdom, the accuracy of deep insights based on this accurate mathematical model of the world. Data science allows for predictive analytics which is wisdom applied.
The problem most individuals have is they do not apply the methods of science to new knowledge generation (they generate beliefs rather than facts), they adopt bias such as confirmation biases which pollutes the process of knowledge generation, they have a faulty model of the world (and of the universe) which prevents wisdom building.
What could happen if you give more information to an individual with an inaccurate model of the world? Let's assume the individual doesn't really believe in science, doesn't believe in the standard model, doesn't share your values, but this individual has access to your information, to as much information as possible, which they then use to judge everyone based on their beliefs.
How is this good?
RE: The Societal Complexity Explosion and Wisdom Asymmetry