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CIO Applications Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from CIO Applications

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Editor's Pick (1 - 4 of 8)
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Manufacturing Industry Yesterday, Today, and Tomorrow

Manufacturing Industry Yesterday, Today, and Tomorrow
Stephen Katsirubas, Chief Information Officer, Hunter Douglas

Redefining Supply Chain Management

Redefining Supply Chain Management
Rajeev Ravindran, SVP & CIO, Ryder System

The Industrial IoT Attack Surface

The Industrial IoT Attack Surface
Matt Griffiths, CIO, Stanley Black & Decker Industrial

Be Change Ready in an Evolving Manufacturing Vertical

Be Change Ready in an Evolving Manufacturing Vertical
Matt Mizell, CIO, Laird

IT in the Consumer Durables Manufacturing Space

IT in the Consumer Durables Manufacturing Space
Art Sebastiano, CIO, SharkNinja Operating LLC

Technology Transforming Manufacturing

Technology Transforming Manufacturing
Matt Meier, VP and CIO – North America, Whirlpool Corporation

Machine Learning in Manufacturing: Moving to Network- Wide Approach

Machine Learning in Manufacturing: Moving to Network- Wide Approach
Paul Boris, CIO - Advanced Manufacturing, GE

Internet of Things

Internet of Things
Tom Basiliere, CIO, Provant

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Transforming Manufacturing via BigData

By CIO Applications| Friday, November 30, 2018
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Businesses and manufacturing companies have realized that data and analytics are the keys to improve operational efficiencies, business processes, and transform business models.

As manufacturers today are planning to streamline all the functions from the manufacturing process, all the way to their business models, the key is to make the conventional system more efficient and effective, by leveraging data and analytics. The major focus has been to make use of big data and make sense of it.  The major step for manufacturers that are planning to deploy advanced analytics to enhance yield is to consider how much data the company is generating. Most of the organizations collect a huge amount of data but typically use them only for tracking purposes, not as a basis for improving operations.

The manufacturing companies are now looking at all the available data that is generated as an opportunity. To gain benefit out of this opportunity, organizations must gather a vast amount of data from multiple sources and multiple plants. The companies must invest in technologies such as AI-enabled data engine to reap benefit out of the data. By analyzing all the collected data, manufacturing companies can gain useful information about the production processes. That’s the opportunity all the manufacturing companies must look at.

By deploying data analytics tools, companies can compare system performance and they can also obtain what is the actual reason for the variation. Small percentage gains in efficiency can make a huge difference for organizations. With the traditional approach, it would take weeks to measure the performance and understand why one is better than the other, which was almost impossible. However, by implementing data analytic tools, organizations can get answers to all those questions.

See Also: Top big data solution companies

Check Out:  Manufacturing Outlook

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