In manufacturing and service sector, the Big Data Analytics is about using a centralised data model for combining a structured data like inventory and financial transactions in a business system. This is done with a structured operational system data like process parameters, alarms and quality events, with an internal and external unstructured data like supplier, customer, internet and data through machines to uncover new insights by implementing an advanced analytical tools. Big data is present and always had been into manufacturing sector. Data have been getting collected through historians, media and social media from decades. An untapped market is always present for Big Data in manufacturing as well as in service sector. In Big Data, lots of data in various form exists, but very few of them is being used for any kind of analysis today. Such few datas are always useful in manufacturing and service sector to decide or approach any kind of new marketing terms. In manufacturing of any products there are assets or Manufacturing Execution Systems(MES) which are smartly connected to produce lots of data in petabytes. Millions of measurement in the form of process variables are getting collected using MES from the respective plants. It is important to know that the running reports getting collected because of large data sets, will not qualify as Big Data analytics in manufacturing and service sector. Hence, the Big Data Analytics is different in terms of definition from the traditional approach which manufacturers and their vendors take to deal with the data from manufacturing of any products or service given to an organisation. At present, manufacturers are heavily investing for collecting data via EMI, MES and through other source which gives them clear visibility of customer requirement, reviews, trending technologies and many other informations related to build a business strategies. EMI has emerged as a large dashboard where manufactures investment for data collection is very high. There is need to transform the offering of EMI in three different ways so that Big Data Analytics in the manufacturing sector will be truly considered. Following are the three ways to transform the EMI offering:The new data model has to be applied with some new tools for analysis so that the never before possible insights can be pulled or enabled. Machine learning, image, statistical process control, predictive modeling and simulation are the examples of such tools that can be used for analysis.Investment should be on such data model that can extract or handle all kind of data i.e structured or unstructured, and also from anywhere either inside or outside of the factory walls.Move out the Management of Manufacturing operation (MOMO) so that that data can be moved from somewhere to anywhere with an open technology.