The session provides a panel discussion about life cycle asset management and global data standardization.

Panelists include:

David Gauvin, Global Asset & Planned Preventative Maintenance Lead, JLL Amazon GREF

Jeff Manas, National Practice Leader for JLL's Environmental & Property Condition Services, JLL

Lou Peeples, Business Development Consultant, Camcode

The first topic addressed is the choice between sequential data and asset-specific data capture for labeling. Both methods aim for quick and accurate database access, but asset-specific data involves pre-assigning serial numbers to labels, ensuring precise database accuracy at the cost of installation complexity and potential cost. Sequential data offers faster installation and volume pricing benefits but requires matching labels to assets during setup.

The conversation then shifts to the use of web URLs versus serial numbers in labels. Both methods link assets to records but differ in accessing those records. For example, serial numbers require dedicated software apps, while URLs enable web-based access, potentially linking to additional resources like manuals or training videos.

The discussion further explores the benefits of implementing standardized asset naming conventions. Standardized conventions serve as a foundation for organizing and accessing asset information, making it easier to extract relevant data and streamline operations. Facility managers are recommended to involve key stakeholders in developing conventions tailored to the organization's needs, ensuring clarity, and compatibility across systems and locations.

Asset tagging systems are essential for efficient asset management, but their implementation poses challenges that organizations must address. Users often underestimate the costs associated with asset tagging, leading to budgetary concerns. Additionally, relying solely on on-site personnel for data collection can result in inaccuracies due to lack of expertise and time constraints.

Constant oversight is essential to maintain data accuracy and adherence to established protocols. By following a systematic approach, organizations can mitigate implementation challenges and achieve successful asset tagging outcomes. Governance is crucial to ensure data accuracy and project success, with a standardized playbook governing data collection procedures.

When investing in CMMS or IWMS and software asset tagging, there can often be challenges surrounding calculating the ROI of such systems. It's important to identify metrics that align with the organization's goals, whether it's improving operational efficiency, meeting sustainability targets, or ensuring regulatory compliance. Visualizing the benefits, such as time savings and improved accuracy, can help garner support and ensure project success.

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