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Improving Asset Performance and Reliability Through Data Analytics and Engineering Domain Expertise

Improving Asset Performance and Reliability Through Data Analytics and Engineering Domain Expertise

MaximoWorld Presentation (24:24 Minutes)

Terry Saunders, IBM and Greg Tanck, Black & Veatch

Facility owners and asset operators are searching for ways to gain a competitive edge using data analytics, but the massive amount of data available through data historians and computerized maintenance management systems (CMMS) makes that a difficult proposition. Finding an efficient way to cut through data to make meaningful operational, maintenance, and financial decisions lies at the heart of the problem.

This discussion focuses on IBM’s real-time asset monitoring software and Black & Veatch’s remote monitoring experience over the last 18+ years to show how companies across multiple industries are using the combination of data analytics and engineering domain expertise to improve reliability, efficiency, and financial metrics.

Real-world examples will show the nuances of what it takes to deploy data analytics in a real-time production environment plus lessons learned along the way. Takeaways: Understand how to gain a competitive edge using data analytics. Make meaningful operational, maintenance, and financial decisions based on monitoring data and resulting analytics.

Understand IBM’s real-time asset monitoring and Black & Veatch’s remote monitoring experience to show how companies across multiple industries are using the combination of data analytics and engineering domain expertise to improve reliability, efficiency, and financial metrics.

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