Winning a High-Stakes Game
In the high-stakes, high-profile game of 21st-century manufacturing, Big Data and advanced analytics are critical competitive weapons. That’s true of both the established global giants that set the pace and emerging innovators and dynamic disrupters who seek to transform the industrial, automotive and high-tech sectors.
For years, manufacturers have used Big Data to improve supply chain visibility, productivity and resiliency – requirements for a just-in-time world, where margins are tight and expectations are high. Sales and marketing programs, as well as field service operations, have been made intelligent and highly personalized. Finance teams pored over operational, sales and trends data to find an edge when making resource allocation decisions. Big manufacturers were among the first to use predictive analytics and condition sensors on key equipment to avoid the risk of breakdowns and bottlenecks in production.
But manufacturing leaders are now going farther. Big Data drives research and development programs and the endless quest for better products, like autonomous vehicles. Telematics are revolutionizing both the customer experience and exponentially increasing data flows. Virtual design and testing capabilities mean manufacturers explore next-generation products today – and much more precisely and cost-effectively than in the past. Sensor data from the plant floor, which changes constantly and can’t be supported with traditional database structures, helps increase outputs, boost yields and eliminate defects in increasingly high-tech and automated environments.