Why you should integrate your data

With the speed of industrial and manufacturing processes, the automation of many activities already exists. Automating maintenance in concert with these processes is next. To do this, actionable data, often already collected, must be integrated to ensure that process parameters are identified and used as triggers for preventive and predictive maintenance.

During our webinar, “Data Integration and Work Mobility,” recorded on October 18, 2017, Dave O’Reilly, VP of Commercial, Fluke Corporation, provided real-world insight from Honda and Toyota into the potential pitfalls and key wins of data integration and work mobility. Attendees left with an understanding of:

  • The value of data integration and work mobility
  • The potential pitfalls and key wins from organizations like Honda and Toyota
  • How to make the Industrial Internet of Things work for you

Leading up to the live event, we asked Dave to give us a sneak peek into the topic.

What are three benefits of integrated data?

Dave: Integration provides meaningful data on trend to failure. It gives a single-asset view for technicians to see asset history on equipment asset management (EAM) and SCADA systems leading to better fault diagnosis. It also enables faster reaction to unplanned equipment failures.

What types of data can be integrated? Do any measurements or data types pose problems?

Dave: Automation, historian, EAM, labor, inventory, BIM data can all be integrated to provide better insights. Data types don’t cause issues, but data volume can.

Will you share one big win that you’ve seen when a company integrates data?

Dave: I’ll share three:

  • Reduced mean time between failure
  • Reduced wrench time
  • Preventive maintenance optimization

Who do you think will benefit from learning more about data integration, and why should they want to?

Dave: Reliability engineers and maintenance managers—benefits can be achieved by combining existing data. This doesn’t need to be a dark art or a multimillion-dollar initiative. Normally the data we need already exists.

To learn more about this important subject, register for the October 18th webinar, and join us at Xcelerate17, where Dave will be presenting and joining many other experts to network and discuss the future of maintenance and reliability.

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