Manufacturers must cultivate the cheese like artisans but do so in enormous batches—thus the need for production know-how. Mass producing cheese requires machinery and elaborate processing plants that are difficult to manage. To better understand their operations, dairy companies are increasingly turning to data analytics.Chemists and engineers at the dairy plant were running into bottlenecks, especially in terms of:-The blend of protein and fat in the raw materials-The temperature of the batches coming out of the upstream cookers-The pH of output from the upstream fermentation process

Asian Paints has a very automated production line but felt they did too much flat reporting. Within a management, there was a feeling they were generating a lot of data, but they weren't sure how to get more value out of this data.

Essex Furukawa, the world’s largest manufacturer of magnet wire/winding wire, faced a significant increase in demand due to the rapid shift of global automakers towards electric power. The company needed to maintain its market leadership by increasing throughput and uptime while delivering high-quality products. The challenge was to meet the growing demands without compromising the quality of their products. The magnet wire they produce for electric vehicle motors must meet exacting standards to withstand years of severe stress, including high heat, high electrical current, and fast switching frequencies. Essex Furukawa leadership recognized the need for a digital transformation of their manufacturing plants to collect and analyze production data for predictive maintenance and continuous operational optimization.