[White paper] M4.0 Data Mastery: From Unruly Data to Profitable Analysis | SPONSORED
IT HAS BECOME CLEAR THAT ALL BUSINESSES, TO VARYING DEGREES of urgency, have a need for real-time insights across their critical processes, products, and people — both internal and external. Manufacturing 4.0 (M4.0), which is anchored primarily in interconnectivity, automation, machine learning (ML), big data analytics, and real-time data, provides the capabilities to deliver these insights. Advances in disruptive technologies, such as artificial intelligence (AI), ML, and Industrial IoT (IIoT), coupled with the exponential increase in available data, not only enable the translation of the physical into the virtual world, but also facilitate the link back from the virtual to the physical world for optimized decision-making. Data-driven insights are generated from smart manufacturing technologies by closely coupling physical production and operations with modern digital solutions to create more efficient, well-connected ecosystems for businesses that focus on manufacturing and supply chain management.
With near-ubiquitous connectivity and more devices generating data from both objects and people, it is no surprise that today’s manufacturing enterprises are inundated with data. Depending on how far they have moved into digitalization, many may still be in the process of incorporating data from legacy systems, as well. While faced with the task of managing this rising flood of data, manufacturers are also challenged to direct the flow of this information to support the process of uncovering in- sights from the data that can benefit their business and deliver value to their operations.
Worldwide, data doubles every two years. From 2013 to 2020, the digital universe grew by a factor of 10, from 4.4 trillion gigabytes to 44 trillion. Recent Manufacturing Leader- ship Council research also suggests that data volumes are growing exponentially, with over a quarter of manufacturing companies expecting data volumes to surge by more than 500% over the next two years! But while most manufacturers are still learning how to best analyze all this data, 100% of survey respondents believe that data is either essential, or supportive, for future success. 
Benefits of embracing M4.0 technologies to glean insights from data are already evident. MLC’s recent survey illustrated that re- cent increases in manufacturing data have not only provided many companies with noticeable improvements in plant floor performance, particularly in productivity (77%), efficiency, (67%), quality (65%), and cost reduction (58%), but also have spurred innovation.2 Figuring out how to manage, govern, store, protect, and leverage data is now the principal challenge for manufacturers in the digital age.
Download this white paper, and you will learn more about how to get the complex data ready for analytics and the two main steps you need to follow to make sense of data. Also, you will better understand what DataOps is and the best practices to maximize results.
Sponsored by Hitachi Vantara
 Source: Manufacturing Leadership Council: ML Journal Survey, “M4.0 Data Mastery: The Key to Future Competitiveness,” Paul Tate, April 10, 2020 [https://www.manufacturing-leadershipcouncil.com/2020/04/10/m4-0-data-masterythe-key-to-