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.
Navigating the three pillars of industrial data management
Data hubs and platforms accelerate early- to mid-stage success
Ontologies are essential for multidimensional data environments
Blending approaches is the key to long-term success for complex industrial operations
Choosing the data management approach that is right for your firm
Figure 1. Data hub approach
Figure 2. DataOps platform approach
Figure 3. DataOps ontology approach
Figure 4. Industrial data management challenges

About the Authors

Robin Sureda-Tasis

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

Malavika Tohani

VP Research

Malavika is a VP Research at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more efficien...

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