I liked that the simulation used a realistic business problem rather than mirror data and required me to turn promotional data into clear, actionable recommendations for day-to-day business findings. The Test & Learn approach was especially useful because it connected data analysis with business decision-making to communicate with the stakeholders.

I liked how practical the simulation felt. It combined data analysis, business experimentation, and client communication rather than focusing only on calculations. The GreenTrail case also made the Test & Learn approach easier to understand because I had to turn store-level promotion data into clear business recommendations while considering both ROI and sustainability.

I enjoyed how the simulation provided a realistic insight into client services and consulting at Mastercard. The tasks were engaging, practical, and helped me improve my problem-solving, analytical thinking, and communication skills. It was a valuable learning experience that gave me a better understanding of real-world business challenges.