TECHNOLOGY Q&A

Big Data Analytics

How can big data analytics take the manufacturing industry beyond revenue generation?

Big Data management can form the foundation for a variety of new capabilities and ultimately determine the success of customer encounters by identifying correlations between customer data, and scheduling and maintaining data. It even has the potential to unravel hidden patterns to enhance operational efficiency, enable the anticipation of order lead times, shorten machine downtimes, and drive more effective materials purchasing and work-in decisions.

Recovery – Big Data can help manufacturers save a lot of money by reducing material costs and system capacity recovery. Big Data can form the foundation for a variety of new capabilities, including identifying correlations between customer data, scheduling, and maintenance. Product Quality and Safety – With Big Data, resources will be better equipped to understand and eliminate the root causes of product risk. Removing overlap cost and support – Manufacturing analytics can help identify and remove overlaps in the allocation of resources for people and technologies. It provides macro and granular views of information, bridging the gap between management and resources. Using Best Tools - In manufacturing, Big Data in manufacturing has enabled organizations to look beyond just revenue generation and focus on the actual business.