In manufacturing, advanced analytics is being used by operations managers in order to take deep dive into the past process data, understand the patterns and correlation amid discrete process steps and inputs, and then optimize the factors which increase the productivity. The manufacturers across various industries and geographies have a plethora of real-time operation-floor data and the ability to conduct appropriate statistical assessments. They gather the old data sets and analyze them in order to obtain important insights. Additionally, the industrial analytics software solutions empower manufacturers to plan production in a more conversant and data-driven manner against a whole fleet of the machine. It allows them to place right applications and analytics on the right machines at the right time, and essentially anticipate the future outcomes. The manufacturing industry handles data from multiple sources such as 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 enterprise resource planning systems, manufacturing execution systems, time and attendance logs, supplier information, and various process automation and control systems.