Data Science Managers - Are You Overpromise and Underdeliver?

As a data science executive, i'm sure that you had tons of experience with gaining byin from stake holders and non technical ones. Can you walk us through some of the pitfalls data science teams or data science steam neaders often encounter hen trying to gain by? Yeso, so i think there're a couple that i've noticed anyway. Over promising an under under delivering is a general problem for any what i would call like an innovation type group in an organization. So my first axiom of being a data science manager is, you always under promise and over deliver.