LNS Research Spotlight


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Ramp-Up to Analytics

Building a Data Model for Industrial Transformation

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
  • Recommendations

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