Have you ever tried to find an important piece of information in your company’s EAM/CMMS system only to discover that it’s outdated or missing? Frustrating, isn’t it? Keeping accurate and up-to-date information in your EAM or CMMS is essential for efficient maintenance and management of assets.

But unfortunately, it’s a task that is often easier said than done. In this blog, we will discuss the best practices for maintaining accurate and up-to-date EAM/CMMS data and how they can benefit your organization.

The Impact of Outdated Practices of Keeping Accurate and Up-to-Date Information

Before we delve into the best practices, it is essential to understand the drawbacks that may occur from prolonging the use of outdated data management practices.

Outdated practices like using spreadsheets, lack of communication regarding data quality issues between organizations and contractors, absence of an established standard for data compliance, and unmonitored progress of a data build can have a significant impact on the maintenance and management of assets. These outdated practices can lead to inaccurate data, which can result in reduced productivity, increased maintenance costs, and incorrect decision-making.


5 Best Practices for Maintaining Accurate and Up to Date Data

To maintain accurate and up-to-date EAM/CMMS data, organizations should implement the following best practices:

  1. Establish a Data Governance Framework: Organizations should create a data governance framework that outlines roles, responsibilities, and processes for managing data.
  2. Use a Centralized System: Organizations should use a centralized EAM/CMMS system that ensures all data is in one location, making it easier to manage and maintain. This prevents users from using out-dated data.
  3. Regularly Review Data: Organizations should regularly review their data to identify inaccuracies and update any outdated information.
  4. Training for Users: Training should be provided to ensure users know their role in keeping EAM/CMMS data up to date with changing data.
  5. Use Benchmarking: Benchmarking can be used to compare an organization’s EAM/CMMS practices to others and identify specific areas for improvement. This is so that companies can prioritize their time making changes to areas that matter the most so they can make the most significant impact on the company’s data management practices and maximize ROI.

Change Management Techniques to Address Resistance to Change

An important challenge to address when it comes to implementing new data management strategies is resistance to change. Users may resist the change because they fear the unknown, lack the necessary training, or do not understand the benefits of the new system. Lack of buy-in from users may be another reason.

Change management techniques can be used to address resistance to change and implement effective processes for maintaining accurate and up-to-date EAM/CMMS information. These techniques include involving users in the process of making changes to their data management strategy, providing training, and demonstrating the benefits of the new system.


Find Areas for Improving EAM/CMMS Data Quality with HubHead’s Benchmarking Service

If you are looking for an effective way to improve your organization’s EAM/CMMS data management practices, consider using HubHead’s benchmarking service. With our service, you can compare your practices to others in your industry and identify areas for improvement. Moreover, our consultants are experienced in providing the best roadmaps to bridging potential EAM/CMMS performance gaps. Don’t wait any longer to improve your organization’s data management practices – download our brochure or book a meeting by following the links below to learn more about our benchmarking service.

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