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.
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.
Pioneering Digital Manufacturing
Most enterprise manufacturers are investing heavily in digital, and paradoxically, most are failing. Why? Because once companies have connected and collected data, manufacturers still cannot make sense of it. Companies attempt to use IoT platforms, consultants, data scientists and hundreds of point solutions with their data, and none scale.
Is Your Company Ready for Digital Transformation?
Through our experience with dozens of companies embarking on digital transformation, Sight Machine has developed a standardized process to evaluate corporate readiness, identify appropriate projects — those most likely to succeed based on current readiness — and rank projects according to their readiness. We call this the Digital Readiness Index (DRI).
Manufacturing Performance Index (MPI)
In this white paper we discuss a new productivity metric that lets manufacturers directly link productivity data to profitability. We believe this approach provides the flexibility and ease of use that manufacturers are looking for as they evaluate potential investments, including investments in digitization.