Where Data-Driven Decision-Making Can Go Wrong

When considering decisions based on data analytics, how should organizations balance immediate short-term financial impacts with long-term productivity gains?
Use the example of wage increases and their potential effects on employee morale and turnover to illustrate your point of view. What methods can be employed to track and measure these long-term effects effectively?
Provide at least two response posts to your colleagues, addressing the following:

Do you agree or disagree with their analysis? Provide additional insights or examples that support or challenge their view.
How might different industries track and measure these long-term effects differently? Be sure to reference any relevant data or theories.