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

Datawatch Corporation

Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please visit: www.datawatch.com.

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