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7 Steps for a Successful Manufacturing Big Data Project

May 30, 2019

The era of Big Data has arrived. Discussion of terabytes, petabytes, and even yottabytes - that’s a million
terabytes - that were reserved to supercomputing facilities just a few years ago are common in today’s
boardrooms. Companies recognize that there is enormous value in the data they create, and they’re making plans to capitalize on that value as quickly as they can. Manufacturing is leading the way, both as one of the largest producers of data from factory systems, machines, and sensors, and as one of the leading adopters of the new technologies that make up Big Data.
However, the rapid evolution of Big Data technologies, coupled with an incredible level of hype surrounding
these technologies, has led to “analytics paralytics” at some manufacturers. Questions of where to start
and how to apply these new technologies, along with trepidation at the potential scale of deployments, are
preventing some companies from moving forward, especially with specific use cases seemingly so rare at
this point in time.

Spotlight

DataUD

DataUD is a consulting firm specializing in Business Analytics solutions. By combining the power of Open Source products with proprietary software, we aim to maximize organisational performance and return on investment for our clients across all Southeast Asia. Modern business organizations are collecting vast amount of data that can vary in size, structure and complexity. Our Big Data practice provides both advisory services such as evaluating and developing big data roadmap and execution services such as architecture, development and implementation of tailored big data solutions…

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7 Steps for a Successful Manufacturing Big Data Project