Resources
How plants actually get to a trusted number
Written by the engineers doing the integrations. No gated PDFs, no forms — read everything.
Explainer
The real decision cadence of a plant — daily, weekly, monthly, quarterly
Most plant decisions are not made in a system. They are made in a meeting, from a spreadsheet someone rebuilt the night before.
9 min read
ReadExplainer
Spreadsheet debt: the hidden operating system of manufacturing
The models that actually run scheduling, costing and planning are undocumented, unversioned and owned by one person.
8 min read
ReadGuide
Nine data model mistakes manufacturers make
Most failed plant analytics projects were lost at the model, months before anyone looked at a chart.
11 min read
ReadExplainer
Data architecture for a plant, explained without the jargon
Edge, historian, UNS, lakehouse, warehouse, semantic layer — what each one is actually for, in factory terms.
10 min read
ReadPlaybook
What data-driven actually means on a factory floor
Not more dashboards. Fewer arguments, faster decisions, and a written record of why the call was made.
8 min read
ReadExplainer
Why continuous improvement, IT projects and business re-engineering never meet
Three groups, three funding lines, three definitions of success — all working on the same losses.
9 min read
ReadChecklist
Data practices that hold up on a shop floor
Naming, validation, freshness, warnings, ownership — the unglamorous work that decides whether people trust the number.
7 min read
ReadGuide
Data science in manufacturing, minus the hype
Where models genuinely pay, where good rules beat machine learning, and what has to exist before either works.
9 min read
ReadExplainer
The problems manufacturers are actually carrying in 2026
Ageing systems, deprecating platforms, retiring expertise, growing custom-app estates and no appetite for another rip-and-replace.
9 min read
ReadExplainer
What is a manufacturing intelligence platform?
The layer that sits above ERP, MES and machines and turns their data into answers, alerts and actions.
8 min read
ReadPlaybook
Choosing your first question
The single decision that determines whether a plant data rollout sticks or stalls at the pilot.
6 min read
ReadGuide
Connecting ERP and MES without a data project
A read-only path from first connection to trusted number, and the four places teams usually lose months.
9 min read
ReadGuide
Alerts people actually act on
Thresholds, ownership and timing — how to set alerts that change behaviour rather than train people to ignore them.
5 min read
ReadChecklist
The IT security review checklist
What to bring to your security team so a plant pilot is approved in days rather than quarters.
4 min read
ReadPlaybook
From one team to one plant
How successful rollouts expand: which function goes second, and what to automate before adding users.
7 min read
ReadGuide
Making OEE mean the same thing everywhere
Definitions, loss coding and the shared model that ends the cross-plant argument.
8 min read
ReadExplainer
Why plant data pilots stall after the demo
The gap between an impressive demo and a used workspace, and the four things that close it.
6 min read
ReadReference
Definitions, connectors and the security answers IT will ask for
Three references we keep updated because every evaluation needs them.
Plant intelligence notes
One short email a month: rollout playbooks, connection guides and what actually converts a pilot into production use. No product announcements.
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