Why C-Level Leaders Must Rethink Industrial Data Modeling Now | SPONSORED
As manufacturers scale digital transformation, one roadblock keeps appearing across plants, lines, and systems: inconsistent, fragmented, and poorly contextualized industrial data.
The result? Missed insights, unreliable analytics, integration delays, and costly rework. But there is a better way.
This guidebook from HighByte introduces a modern approach to industrial data modeling—not as a technical exercise but as a strategic capability that gives organizations data they can use at scale.
So, what’s the business case?
- Faster time to value: Instead of building rigid data structures for every tool and system, companies can model data once, apply it consistently, and adapt over time.
- Lower integration costs: A dedicated DataOps layer minimizes manual mapping, middleware maintenance, and custom code.
- Improved security and governance: Only approved users and systems receive the right data, with full transparency and traceability.
- Stronger operational agility: As equipment, processes, or analytics needs change, updates can be made centrally—without disrupting production.
The guide outlines how manufacturers can build scalable, flexible data models that reflect real business needs, starting small and evolving quickly. It also explains how to apply ISA-95 frameworks to create structured, standardized models that map easily to MES, ERP, analytics, or cloud platforms.
Why this matters now
AI initiatives, predictive maintenance programs, and advanced analytics all rely on accurate, contextualized data. Without a modern modeling strategy, most initiatives stall—or worse, deliver flawed insights.
HighByte’s approach turns traditional modeling on its head:
- Start with the use case
- Define what your end systems need
- Build minimal, reusable models that evolve as you grow
For industrial executives, this isn’t about technical specs—it’s about enabling faster decisions, better asset performance, and real digital ROI.
Download the full guidebook to explore how modern data modeling can power scalable, secure, and insight-driven operations.
Sponsored by HighByte
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