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Operations

Keep your as-operated twin aligned — every day

Operations, maintenance, procurement and engineering each hold their own version of the asset. LivingTWIN keeps them reconciled continuously — so drift is caught before it becomes an audit finding, a delay, or an incident.

Start free How it works
In this workflow
Build an as-operated workface
Aggregate live datasources
Auto-flag discrepancies & NULLs
Resolve at source, continuously
The problem

Running a complex asset means running many systems

Each functional system holds the data it needs, and inevitably that data overlaps. Ongoing change pulls the copies apart. Many owners have spent heavily on integrations and semantic models — complex, slow projects that increase cost and reduce agility. There has to be a simpler way.

No single source of truth

The same tag exists in five systems, each maintained by a different team.

Drift goes unnoticed

A change in one place rarely reaches the others — until it causes a problem.

Repeated manual audits

You pay again and again for checks and reviews to regain confidence.

Costly integration projects

Big semantic-model programmes take years and constrain the business.

The evidence

What poor operational data really costs

47%

of newly created data records carry at least one critical error1

~20%

of the working week is spent hunting for internal information2

$12.9M

average annual cost of poor data quality per organisation3

days

to an aligned view with LivingTWIN — not the months an integration takes

Sources
  1. 1. Harvard Business Review — Nagle, Redman & Sammon, Only 3% of Companies' Data Meets Basic Quality Standards (2017)
  2. 2. McKinsey Global Institute, The Social Economy (2012)
  3. 3. Gartner, Data Quality: Why It Matters and How to Achieve It (2020 research)
The solution

Continuous alignment, no system replacement

Operations in LivingTWIN
1

Aggregate what you already have

Connect up to 20 datasources into a workface and generate a single reconciled aggregate — no migration.

2

See every discrepancy

Conflicts turn red, NULLs read muted, rows with open issues are flagged — down to the cell, with version history.

3

Resolve at the source

Raise issues, assign tasks and discuss on any object. Corrections happen in the system that masters the data.

4

Improve continuously

Regenerate the aggregate any time to confirm the fix held and watch quality climb over time.

A trusted single view Fewer audits & reviews Lower operational risk No retraining, no rip-and-replace

Confident in your data, every day

Build your as-operated twin free, and see the discrepancies in your own data within minutes.

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