Strategic Focus: Why Industrial Firms Need DataOps Platforms For Asset Management Digitization

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Executive Summary

This report introduces the concept of Industrial DataOps (Data Operations) platforms, derived from DevOps: the practice of aligning business operational goals with software development. Industrial DataOps applies such an approach to orchestrating people, assets, processes and technology to acquire and clean a wide variety of data streams, place these in context and deliver as a self-explaining digestible package to decision-makers to help optimize industrial operations. The report outlines key advantages to deploying these data management software platforms in asset-heavy industries – such as the enablement of advanced data-focused analytics such as artificial intelligence and machine learning – alongside crucial factors to consider during vendor selection and software implementation.
DataOps Is Vital For Orchestrating People, Assets, Processes And Technology In The Modern Industrial World
DataOps Platforms Give Industrial Firms The Ability To Deploy Cutting-Edge Analytics
Successful DataOps Implementations Involve A Collaborative Approach With SMEs
Customers Should Keep Scalability In Mind When Selecting Industrial DataOps Platform Providers
Figure 1. Industrial DataOps Platforms Enable Self-Service Access To Industrial Data Lakes Insights
Figure 2. Industrial DataOps Platforms Orchestrate People, Assets, Processes And Technology, From 
Raw Data To Actionable Insights
Figure 3. Without Subject Matter Experts, Industrial Data Is Dark Data

About the Authors

Joe Lamming

Joe Lamming

Senior Analyst

Joe is a Senior Analyst and Technical Lead at Verdantix, specializing in AI-first platforms and applications and data management. Combining hands-on development of software an...

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Malavika Tohani

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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