Then a picture person can miss important details that an analyst-researcher would definitely pay attention to. The picture person could not pay attention to the context, if a diagram itself looks clear and logical.
Paradox 3. Technicians do not care about business results
Data-Scientist, Machine-Learner, it all sounds cool, but it is the profession of a mathematician, a programmer that works with algorithms. For them, the technical side is important, the nature of the relationship described by the model of machine learning, but what to do with this information further does not bother them. They will build you a model of an ideal employee's professional competencies, but will not tell you how to find one and how to manage them. Visualization is also of little interest to a programmer if it is not a database communications scheme. They are not responsible for data quality either. Their area of responsibility is stable work, system performance, and absence of errors.