Data-Driven Management of Blue Detergent Simulation Reflection

How much effort did you put into exploring the past data about Blue's performance? Was it time well spent? What did you learn from it?

Did you find you were getting better over time at increasing profitability? If so, what improved your decision-making?

What was your overall strategy to turn around Blue's performance in the marketplace? What factors did you manipulate in your decisions as a result? What was the outcome?

What lessons can you draw about the use of these types of analytics? How easy is it to use them? What factors might make them more valuable within an organization (e.g., statistical models that guide managers as to what factors are generally more important in improving performance).

Can you see any downsides to this type of management? What might invalidate the data-driven lessons that you learned (e.g., a major change in the dynamics of the economy or customer behavior)?