The manufacturing industry is capitalizing on the embedded analytics applications to improve strategic and real-time decision-making. The manufacturing industry is an ever-evolving industry that frequently handles the obsolescence of products. Data managers must be always on their toes to address growing market pressures, which include tracking of global competition, regulations, and the restrictions applicable on different markets served. Moreover, the industry works on wafer-thin margins and is volatile in nature. Thus, the manufacturing industry must continuously adapt and change itself to the unpredictable and disruptive innovations occurring in the market.
Manufacturing industries handle multiple sets of data, which need to be continuously captured and analyzed to streamline business applications and optimize business resources. The industry handles routine structured in-factory data, along with analog data, images, raw sensor data, and information churned out from applications inside the factory and other sources, which include ERP systems, manufacturing execution systems, time and attendance logs, supplier information, and various process automation and control systems.
Growth of embedded analytics in manufacturing is evident as the industry is benefitting by improved process efficiency, centralized production monitoring, and serving clients better by getting real-time access of data to improve performance metrics. Powerful tools such as dashboard and data visualization are integrated into system applications that provide an integrated view of inventory and resource management. Self-service and reporting tools are used to analyze system-wide operations, providing powerful insights into plant assembly and improving supply chain efficiency.