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

Zylotech

Zylotech is a Self-Learning customer data platform for marketers. Imagine having a 360-degree view of your customers on demand including their identity, behaviors and intent; Insight to non-obvious patterns of information only available through the latest AI models; Automation personalizing customer recommendations for you in the tool of your choice. This is the Zylotech advantage - bringing cognitive customer intelligence to your fingertips.

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