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Executive Summary

Data management is, visibly or otherwise, already a cornerstone of asset-heavy industrial operations, maintenance and process safety. Industrial data management (IDM) software solutions provide the rigidity and governance facilitating the convergence of information technology (IT), operational technology (OT) and engineering technology (ET) systems to unlock analytics and AI-driven use cases. This report examines the realities of IDM solutions as viewed by its practitioners, discussing trends such as unified namespace (UNS) architectures, industrial DataOps and platform partnerships that provide industrial-grade scalability and deliver actual value. The report also highlights where challenges – such as data quality issues, cybersecurity hurdles and vendor lock-in – persist. We outline best practices for successful IDM deployment, such as gradual implementation, standardization of data models and historicizing time series data. Industrial Internet of Things (IIoT), data transformation leaders and analytics practitioners should use these insights to build resilient, scalable IDM platforms foundational to modern-day operational excellence.

Table of contents

Summary for decision-makers
Industrial data management (IDM) software enforces consistency in data acquisition, usage and storage

Scaling IDM across an organization offers a trustworthy platform for analytics and AI
Documentation, cybersecurity concerns and implementation complexity are fundamental challenges in enterprise-scale IDM
IDM practitioners recommend in-depth, services-led preparation and gradual deployment to minimize disruption and maximize deployed utility

Table of figures

Figure 1. Recommendations for buyers

About the authors

Joe Lamming

Senior Analyst
Joe is a Senior Analyst in the Verdantix Industrial Transformation practice. His current research agenda covers industrial DataOps, AI/ML analytics and applications of generative AI for industry and enterprise. Prior to joining Verdantix, Joe worked in the consumer electronics industry, where he gained experience in overseas manufacturing, product design and data science. Joe holds an MEng in Mechanical Engineering and Sustainable Energy Systems from the University of Southampton.

Malavika Tohani

Research Director, Industrial Transformation
Malavika leads the Verdantix Industrial Transformation practice. The team’s current research focusses on digital technologies and services that enable industrial operations become safer, efficient and sustainable such as asset maintenance and performance, industrial AI and data management, connected workforce and field service management, process safety and industrial engineering, design and construction. Malavika has over 20 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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