A data-driven approach changes manufacturing by making it more efficient. You can use real-time data and analytics to find hidden problems fast. This helps you fix things quickly. Companies like Toyota and General Electric have made big improvements. They cut production defects by 45%. They also reduced inspection time by 75%.Data-driven manufacturing process optimization often gives a 5-6% boost in productivity. It also saves a lot of money. By tracking key metrics, you make sure every process change shows real results. Key Takeaways Real-time data lets factories spot problems quickly and fix them fast before they cause delays or mistakes. Data-driven manufacturing makes things faster, better, and saves money by cutting waste and stopping machines from breaking down. First, use data to find slow or wasteful steps in your process and set clear goals you can measure to make things better. Gather and link data from all machines and systems…