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Overview
The Tag Alias feature in Ingenuity 7 simplifies data complexity by allowing users to define friendly, consistent names for process data tags regardless of their original source or format.
Instead of navigating inconsistent or cryptic tag names from multiple systems, engineers and analysts can work with clear, meaningful aliases that reflect real-world operations.
Aliases can be updated centrally, versioned for clarity, and used across dashboards, trends, and calculations without needing to rewrite formulas or reconfigure displays.
Naming Clarity
With Tag Aliases, complex or cryptic historian tag names are replaced with intuitive labels that make sense to your operations teams like “Inlet Pressure” instead of “21PI1234.val”.
This removes guesswork, improves onboarding, and ensures clarity across charts, reports, and dashboards.
Central Management
Aliases are centrally managed in the system and instantly propagate to all connected content meaning any updates or corrections take effect everywhere.
This removes the need to manually update dashboards or calculations when a tag changes or a signal is renamed.
Cross System
Whether your data is from legacy historians, modern cloud platforms, or custom APIs, aliases act as a translation layer bridging naming differences across systems.
The same alias can point to different tag IDs in different environments, making multi-site rollouts simpler and more scalable.
Version Aware
Aliases can include version references or descriptions, helping teams distinguish between legacy tags, test data, or revised calculations.
This feature supports better change control and auditability in environments where traceability matters.
Seamless Integration
Tag aliases can be used directly inside trends, dashboards, and even complex calculations without breaking functionality.
They’re treated as first-class citizens in the platform ensuring that abstraction never sacrifices power or flexibility.
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Explore features of Ingenuity 7 on simulated production and operations data as well as on a set of open live data APIs.
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See Ingenuity in Action
From live dashboards to knowledge graphs and automated workflows, everything you need to turn raw data into operational insight is in one place.
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What makes us different?
Unified Across Modules
Rather than being isolated to a single view or tool, Ingenuity aliases are platform wide. They can be used in charts, calculations, reports, pipelines, and even knowledge graphs ensuring naming consistency across your entire operational context.
No Scripting Required
Aliases are configured and maintained through an intuitive interface no SQL, Python, or configuration files required. This reduces technical overhead and empowers engineers to manage their own data references with confidence.
Dynamic Alias Resolution
Aliases can point to live or calculated tags and can dynamically resolve to different tag sources based on context (e.g. asset, location, or environment). This smart mapping means you can design templates that work across multiple assets without rework.
Built for Scale
Whether managing a dozen or thousands of tags, the Alias Historian in Ingenuity is optimized for high-volume environments. Aliases can be bulk-created, auto-mapped, and validated making it easy to maintain clarity even in complex operations.