Get the State of Inspection Data Report
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Inspectioneering grants purchaser a non-exclusive, non-transferable license to download, store, and access this 2024 State of Inspection Data Report. In no case may you, without express consent from Inspectioneering, reproduce, copy, modify, publish, distribute, sell, loan, create new or derivative works from, or exploit any of the information contained herein.
About the Report
The overarching objective of the Inspection Data Report is to provide an understanding of how mechanical integrity practitioners at owner-user/operator companies are managing digital transformation. It examines the present and future of mechanical integrity through the lens of three main areas: data collection, data management, and data modeling & decision-making.
Great efforts have been made to ensure reporting accuracy and quality. However, Inspectioneering makes no express or implied warranties concerning the information contained within. Inspectioneering expressly disclaims all warranties, including but not limited to warranties of merchantability and warranties of fitness for a particular purpose. The data provided in this report should be used strictly for informational purposes.
Who Is This Report For?
This report is designed for owner-users/operators who are interested in how their peers navigate the complex landscape of technologies in mechanical integrity to succeed in their jobs and make their facilities safer. It is also a valuable resource for consultants and service companies seeking insights into industry trends and challenges. Additionally, insurance and auditing companies can use this report to better understand industry benchmarks.
Report Contents
- Introduction
- About the Survey Respondents
- Participants by Facility Type
- Participants by Region
- Data Collection
- Average Confidence in NDT/Inspection Methods
- NDT/Inspection Methods Going Forward
- Data Collection Platforms
- Data Management
- Inspection Data Storage
- In-House vs. Third-Party Implementation
- Software Implementation Plans
- Software Vendor Priorities
- Biggest Software Struggles
- Data Modeling & Decision-Making
- Usage and Confidence in MI Decision-Making Tools
- Challenges with Technology and Decision-Making
- Data Modeling/Predictive Analysis Tools
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