Analytics

 Home / Analytics

Manufacturing and Data

“Today’s integrated operations go above and beyond what has been the traditional realm of process control,” says Peter Zornio, chief strategic officer of Emerson Process Management, a unit of St Louis, Illinois-based Emerson Electric Company. “We think there are three big ideas at the heart of II Ready or not, here it comes it. The first is pervasive sensing. You can get more and more data points than ever before. “Second, integrated operations means multiple disciplines can analyse and discuss data from the plant together, not just one discipline at a time. And third is the realm of big data and equally big analytics.”


In a survey of manufacturers conducted by The Economist Intelligence Unit, "86% say that during the last two years they have significantly increased the amount of production and quality control data stored for analysis. Nearly twothirds say they use sensor-generated data from networked machines—an essential element of the integrated factory—and 20% say they plan to use data from networked production machinery. Equally telling, two-thirds of those surveyed say they also use sensor-generated data from external sources, off their shop floor, for comparison purposes—a move into the more complex and analytically difficult world now generally called “big data”.[1]


The data to the right, is from a survey titled "In which of the following areas do you see greater volumes of data yielding the biggest gains?" Respondents to the survey conducted see product quality management as the area in which greater volumes of data are most likely to make the biggest difference. Nearly three-quarters (72%) pick this in their top three business areas likely to see gains from more data, a much larger proportion than for any of the other areas and 28 percentage points more than the proportion picking process controls, the number-two area of potential gains Select the top three.


[1]This article and survey have been referenced from 'The Economist Intelligence Unit' July 2014)

Today's Manufacturer's are Project Driven

Machine data is used as a post process tool to identify anything from line faults to process improvements, and can take days to months to complete

an·a·lyt·ics (noun) : the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight

Response Time - The Latency Curve

The value of analytics depends on Rapid Response

[2]Based on concept developed by Richard Hackathorn, Bolder Technology

Minimize Time-to-Value with Skedastic

Reduce the latency to Capture, Analyze, and ultimately Take Action

About Skedastic

Formed in 2013, Skedastic was founded to exploit big data opportunities in the manufacturing markets.

The Skedastic analytics platform utilizes experience from the financial markets and automation technologies to build applications that create context out of data streams and provide new actionable intelligence for users.

Leveraging the Internet of Things (IoT) and Machine to Machine (M2M) communications on the factory floor, the Skedastic analytics platform provides a suite of software analytic tools to help manufacturers improve their plant operations.