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Scaling Digital Transformation: Challenges and Considerations

Scaling Digital Transformation: Challenges and Considerations

Digital transformation offers opportunities for improved productivity, through projects focused on condition-based maintenance or overall equipment effectiveness. Better visibility into asset health and operations, using analytics, promotes safety. These analytics are often deployed for assets at the local plant level for a handful of use cases.

Existing investments in analytic tools, such as statistical modeling applications, BI reporting, and data science notebooks, make it easy to build new analytics to drive insights. Yet, organizations remain stifled, balancing their priorities between redundant data preparation activities for new projects and complex workflows to maintain existing solutions.

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Connecting Data Sources to create a comprehensive PI Asset Framework

Currently, most OT data systems have their own hierarchical structure on how they organize data. For instance, your organization may maintain separate hierarchies for your work management system, engineering specifications, production deferrals, process historians, and failure databases, just to name a few. This classification is adequate when your data is contained within a single system but fails when data spans multiple systems and organizations.

What if all this data could be unified and harmonized in an asset-centric common data model that provides a consistent organizational structure? What if your PI Asset Framework was synced to your SAP Asset Registry?

Starting today, Element is announcing the general availability of Asset Connect, a module bundled with Element AssetHub™. Asset Connect provides users with the capability to easily connect to their most important IT and OT systems.

What is Asset Connect?

Asset Connect is an integration platform that connects the enterprise asset model management capabilities of AssetHub to producing systems of record.

As an integration platform, building integrations to static text files, spreadsheets, XML files, custom SQL databases, or even IT/OT systems of record takes minutes or hours, not months or years.

Welcome, Silicon to the Element Family!

With this release, we introduce a brand new, data-structuring function called Transpose Columns in Element AssetHub’s library of data pipeline transformations.

Equipment data consists of continually-changing time series data as well as static, or slow-changing, data that site engineers often collect and store in a variety of documents and formats. While building a pipeline, you may have several columns of static and non-static tabular data that are not directly compatible with the format required in AssetHub. With the Silicon release, AssetHub now offers Transpose Columns as a powerful data-shaping function for re-ordering this data into an acceptable row-based format, making it easy for AssetHub to consume and use.

Additional new features in this release enhance the user experience when you log in to AssetHub or when you build the Asset data model.

Here are the new features and updates:

  • Transpose Columns transformation for reshaping data
  • Pipeline enhancements
  • Bulk management of templates
  • User control of jobs
  • Security updates

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