Organizations looking to dramatically transform their operations from <1% to 10%+ annual improvements will need to turn to data generated by their plants and factories in order to uncover new business insights.
To achieve these benefits of Industrial Transformation ― especially when it comes to analytics ― companies need a data model that spans assets, processes, and systems to optimize performance holistically. Organizations that fail to define a common data model for transformation projects are likely to end up in “pilot purgatory”.
This LNS Research Spotlight highlights the following:
Industrial Analytics: Use Cases Drive Data Model Decisions
The (Many) Challenges of Industrial Data
Building Your Data Model – and Keeping it Current
Complete the form to download the LNS Research Spotlight by Patrick Fetterman.