Industry 4.0 readiness index · Industrial maturity
Your plants’ readiness for Industry 4.0, measured site by site and translated into a roadmap.
10 themes, a 5-level scale. And the action that moves each level to the next.
The framework’s 10 themes, already written from L1 to L5. One company, one business unit, or 300 at once.
Industry 4.0 readiness index · Industrial maturity
10 themes, 5-level scale.
Nordhavn Industries
53 / 100
They measure their maturity with Datamensio
An example
This could be your situation.
Take one company as an example: three sites, three spreadsheets, no shared answer.
Nobody can consolidate.
Nordhavn Industries, 2,400 people in Hamburg, Lyon and Porto. A client asks where the group stands. Each site answers in its own spreadsheet, with its own scales.
Three weeks, a single base.
One Industry 4.0 Readiness framework, 5-level maturity scale assessment launched across all three sites at once, from the managers’ interview notes. The framework was already written, its 10 themes and levels L1 to L5 too.
Two costs avoided before being committed.
A score of 53 out of 100, with the gap concentrated on three themes. The AI companion spotted that two actions duplicated those of another audit. The committee report took one sentence to request.
What it saved them
- 3sites measured on the same base, instead of three questionnaires to reconcile
- 2duplicate actions caught before the spend
- 1committee report, with no manual rework
These figures are an example. They could be yours.
The standard imposes processes. Datamensio says where you stand.
01
The framework is already written
Themes, questions and levels L1 to L5, all written. You do not start from an empty spreadsheet.
02
The score lands the same day
Online, by self-assessment link or in interview. Theme by theme, comparable over time.
03
The gap becomes a costed plan
Every step up carries its action. The AI prioritises on expected effect, not on the order of the standard.
04
Progress can be demonstrated
Campaign after campaign, against your target and against your own past. That is what your board asks for.
The maturity scale
One level, the next, and the action that links the two.
It is this mechanism, one level, the level above, and the action that links the two, that turns an assessment into a trajectory.
Is data from production equipment collected and usable for management purposes?
- N1
No automatic feed. Production data is recorded by hand on paper or spreadsheets at the end of each shift.
- N2
A few machines feed data, on one pilot line or shop floor. Formats differ and readings remain local.
- N3
Critical equipment feeds historised data into a common system, with a shared identification framework. Production indicators are derived from it.
- N4
Collection covers the entire defined scope, data quality is checked and discrepancies are addressed. Data feeds daily management routines.
- N5
Data is used for predictive analysis and control loops, with periodic review of the instrumented scope and use cases.
Action to move from L2 to L3
Define the list of the site’s critical equipment, harmonise their identification in a single framework, connect their readings to a common historian and validate the data produced during the weekly production meeting.
« With Datamensio, we meet our objectives far more efficiently. The ERDF inspection services and our supervising ministry particularly appreciated an approach that gives them reliable data. »
Director, CCI 94CCI Île-de-France
« We believe this is the most suitable solution to scale our transformation project and measure impact according to our needs. »
Maja SucekChief Operating Officer, Interreg Danube
Rarely on its own
Frameworks combine. Put several together to cover your business, or have the AI write yours.
Take your first measurementon INDUS. 4.0.
What this framework covers
The Industry 4.0 readiness index assesses an industrial organisation’s ability to use digital technologies in its operations. It does not focus on any single technology, but on the full set of conditions that enable their use: instrumented machinery, shop floor connectivity, quality and availability of production data, system integration (ERP, MES, SCADA, CMMS), team skills, work organisation and business model. Each dimension is positioned on a progressive maturity scale, from the uninstrumented site through to production driven by data.
In practice, the difficulty is not launching projects but knowing where you stand. Industrial groups accumulate initiatives: a predictive maintenance pilot on one line, a traceability project on one site, an energy dashboard elsewhere. The questions an industrial management team asks are simpler and harder. Which production data can actually be used today, and on which equipment? Which sites can absorb another digital building block, and which must first fix their foundations? What does moving up a level cost, and in what order should it happen?
A common confusion is mistaking equipment for readiness. A shop floor can be fitted with recent, connected machinery without any data being usable, for lack of harmonised protocols, an equipment identification framework or someone accountable for machine data. Conversely, a site with an older fleet can reach a good level of control by instrumenting a few critical points. Readiness is measured across the whole chain, from signal acquisition to the decision taken on the shop floor.
The maturity assessment answers a different question from a technical audit. An audit records whether a piece of equipment, an interface or a piece of software is present. The assessment positions practice on a scale: what level of control the site has reached, and the precise action that moves it up a level. It is this gap between the observed score and the target that produces the action plan, then the roadmap consolidated across the entire industrial footprint.
Within Datamensio, the framework is ready to use and adaptable. AI adjusts the themes, questions and levels to your sector (continuous process, discrete assembly, food and beverage, pharmaceutical), or builds a version from your own documents: industrial master plan, application map, group standards.
Reference standard: Industry 4.0 Readiness framework, 5-level maturity scale
The themes assessed
Strategy and industrial digital governance
Existence of a formalised trajectory, investment arbitration, roles and responsibilities, alignment between head office and sites, tracking of expected benefits.
Equipment and instrumentation
Age and communication capability of the fleet, sensor coverage, critical measurement points, retrofitting of older machinery, acquisition standards.
Connectivity and shop floor infrastructure
Network coverage in production areas, separation of IT and OT networks, protocols used, local processing capacity, availability.
Production data and data quality
Equipment and product identification framework, historisation, completeness and reliability of readings, data ownership, retention rules.
System integration
Alignment of ERP, MES, SCADA, CMMS and LIMS, interfaces and manual re-entry, consistency of naming conventions, application version management.
Performance management and decision-making
Indicators tracked on the shop floor, update frequency, OEE and scrap, actual use of dashboards in production routines, drift analysis.
Automation and advanced technologies
Robotics and cobotics, machine vision, condition-based maintenance, simulation and digital twin, scope covered and deployment stage.
Cybersecurity of industrial systems
Inventory of connected equipment, remote access management, segmentation, handling of obsolescence, continuity in the event of an incident.
Skills and work organisation
Digital skills of operators and supervisors, training plan, place of data roles on the shop floor, evolution of operating procedures and routines.
Supply chain and ecosystem
Data exchange with suppliers and customers, upstream and downstream traceability, logistics integration, dependence on integrators and vendors.
A short version of the framework is available for the online self-assessment.
Frequently asked questions
Is the Industry 4.0 readiness index a certifiable standard?
No. It is a maturity assessment framework, with no certification body behind it. The assessment is used to position your sites and build an investment trajectory, not to obtain a label.
How does it differ from a technical site audit?
A technical audit records whether equipment and interfaces are present. The maturity assessment positions practice on a progressive scale and indicates the action that moves it up a level. It also covers organisation, skills and actual data use, which a technical audit rarely addresses.
How long does the assessment take?
The short version takes 20 to 30 minutes per site. The full version, run collaboratively with production, maintenance, IT and quality, generally spans one to two weeks, most of the time being spent gathering input from teams.
Can several plants be compared with each other?
Yes. The same framework applied across several sites produces comparable scores per theme, with benchmarking between business units and against previous assessments. A cross-site roadmap then consolidates the action plans from all sites.
Does the framework adapt to our sector?
Yes. Questions, levels and themes can be modified, and AI adjusts them to a continuous process, a discrete assembly line or a regulated environment. It can also build a version from your industrial master plan. The framework belongs to you.
Do you need technical expertise to answer?
The questions cover practices and organisation, not machine settings. A site director or a methods manager can answer them. Collaborative mode allows infrastructure or application architecture questions to be assigned to the right contact.
How is the action plan costed?
Each gap between the observed score and the target generates an action. The service catalogue matches a solution to each action, with its cost, timeframe and impact on the score. AI then groups these actions into a prioritised roadmap.
Where is the data hosted?
In France, with OVH, backed up at Scaleway. No transfer outside the European Union. The AI models used can be selected, including from European solutions.