Strategic Focus: Choosing The Right Industrial Data Management Strategy For Your Firm’s Digital Maturity
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Executive Summary
This report is designed to help industrial leaders and stakeholders select the most effective industrial data management approach as they scale their firm's digital transformation. It compares data hubs, DataOps platforms and ontology-augmented DataOps, explaining where each approach fits on the digital maturity spectrum – from rapid data ingestion and visualization, to analytics delivery, to semantic modelling that enables cross-domain AI use cases. Industrial data leaders can use this report to compare and shape investment priorities and architecture roadmaps, determining when to adopt unified namespace (UNS) standardization and when to advance to ontology-driven contextualization for robust, enterprise-wide AI analytics.About the Authors
Robin Sureda-Tasis
Analyst
Robin is an Analyst at Verdantix with a focus on frontier technologies, such as AI analytics, extended reality and industrial data management. He delivers actionable insi...
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Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...
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