This LNS Research Spotlight explores how a properly crafted analytics business case can drive short-term ROI and support long-term strategic objectives.
The IoT, and in particular its industrial cousin, the IIoT, has brought a lot of attention to what goes on inside a manufacturing enterprise. In the past, most of the data from sensor to business system has been used internally for a variety of tasks from control through process improvement to quality and business improvement. Now all that data will become part of the IIoT.
Manufacturers embarking on digital transformation projects face a series of early decisions that will ultimately determine if the projects succeed in transforming the company or become failed science experiments.
Issues are going to arise during the manufacturing process, but how quickly you respond to problems that come up can make or break your success. With increased visibility into your factory and advanced data correlation capabilities provided by manufacturing analytics, you can save valuable time (and money) on your operations.
It’s a common misconception among manufacturing businesses that an MES solution can do the work of a manufacturing analytics platform. However, with integrated data capabilities, detailed analytics, root cause identification and more, only a manufacturing analytics platform can piece together a complete view of your operations.
Every manufacturing business is looking to build competitive advantage. And every manufacturing business generates a vast amount of data about parts, equipment, and processes. There is a tremendous amount of valuable insight that can be generated from the data, but too often, that value is never realized.
Are you looking for ways to boost the profitability of your manufacturing business? This tip sheet discusses nine ways you increase profitability using data about equipment, parts, and processes that you already have.
Manufacturers produce the largest volume, velocity, and variety of data. Manufacturing analytics hold the key to understanding. This paper provides a practical “how to” guide for launching a manufacturing analytics project. See how to avoid common roadblocks and pitfalls.
With more intelligent use of factory data, today’s manufacturer is in a better competitive position. See how to achieve real-time visibility into your automation systems and manufacturing operations.
For manufacturers, operational insight is masked by mountains of process and part data flowing from factory floor sensors, systems, suppliers, and other data sources. This paper makes the case for an advanced manufacturing analytics platform that helps uncover secrets from the factory floor for real-time, data-driven insight, enabling fact-based decisions.