The modern automotive industry is generating enormous volumes of manufacturing data every day. This creates a huge opportunity to leverage and apply that data in the existing industrial environment.
By analyzing this data, automakers can drive significant improvements in two critical areas: the initial production of their vehicles and the reliability of vehicles over their lifetimes. By using cognitive analytics to help predict part failure, it isn’t unusual to see results such as:
- Reduction of machine downtime in manufacturing
- Reduction of necessary repair parts in inventory
- Lower total cost of vehicle ownership
Are you using your data to its fullest? This checklist will help you evaluate your existing automotive asset management strategy to ensure you’re getting the most out of your data.