Accurate data is essential for several reasons: - Optimization: Helps in fine-tuning reaction conditions for maximum efficiency. - Scalability: Ensures that lab-scale findings can be effectively translated to industrial scales. - Reproducibility: Facilitates the replication of results by other researchers, which is crucial for scientific validation. - Economic and Environmental Impact: Prevents costly errors and minimizes waste production.
