Data minimization is crucial for several reasons. Firstly, it reduces the computational cost and time required for simulations and experiments. Secondly, it helps in focusing on the most relevant data, leading to quicker insights and more efficient research and development processes. Lastly, it can improve the reproducibility and reliability of results by reducing the noise from unnecessary data points.
