Two years ago we walked into a textile factory with 120 employees in the Vale do Ave. The CEO knew he had an efficiency problem, but he did not know what it was. He had figures scattered across three spreadsheets, a paper log on the production line and the gut feeling of the shift supervisor. When we asked him what his OEE was — the operational performance indicator that all modern industry measures — he replied: "I reckon it's around 75%." He was wrong by 17 percentage points. When he finally measured it, he saw that he was losing almost an hour per shift to unplanned stoppages. No one had even noticed. The uncomfortable truth: most Portuguese industrial SMEs do not know what they do not know, because they have never measured it.
Only 53.7% of companies in Portugal use an ERP — the rest operate with manual integration
We see a deep-rooted contradiction in industrial companies. They talk about "data-driven decisions" — that is the official line. But the reality is different: 53.7% of companies in Portugal use an ERP, which means that 46.3% still operate with manual integration between systems or spreadsheets. Without a centralised source of truth, KPIs are opinions. And opinions do not change behaviour.
An operations director at a garment maker in Famalicão told us something memorable: "If I can't explain the number to my boss in two minutes, the number doesn't exist for me." He was right. But he still did not measure it. The problem was not comprehension — it was architecture. He did not have a system that captured production in real time. Everything was consolidated at the end of the month, in meetings where no one wanted to admit they had missed the target.
A KPI that takes a week to calculate is a museum piece, not a management tool.
The reality on the Portuguese shop floor is this: the manager wants to know whether he will fulfil the customer's order tomorrow. He wants to know whether the equipment is having problems before it stops. He wants to know whether the employee is doing unnecessary overtime. He wants this today, not on Monday. And yet most SMEs calculate their KPIs as if they were accounting reports — a week or a month late.
From spreadsheet to control: the three-month journey
There are three types of industrial company in Portugal: those that measure everything, those that measure nothing and those that measure with spreadsheets. The third category is the largest. A spreadsheet is not a sin. It is a sin to keep it as the backbone of management when the business has already grown to 80 or 150 employees. At that point, the spreadsheet becomes a parallel system. The IT Director updates version A, the controller works with version B, and the warehouse supervisor does not know that a version C exists. After three months, no one believes the numbers.
What we see in companies that made the transition correctly is this: they start with one KPI. Not five. One. They choose the one that hurts most — whether it is cycle time, scrap or warehouse occupancy. They measure it rigorously for four weeks, even if it costs person-hours. When the team sees that the number is true (because they can validate it on the floor), then behaviour changes. They start working to improve that number. Then — and this is important — they add a second KPI. But only after the first is stable and integrated into the operational routine. Anyone who tries to implement eight KPIs at once only achieves confusion and resistance to change.
What separates the shop floor from management: three pyramids, not one dashboard
A shop-floor KPI is not a management KPI. The classic mistake is trying to serve both with the same metric. A production operator needs to know: how many parts did I make today, what is my cycle time, do I have any defects? This in real time, on the terminal screen. An operations director needs to know: what is the OEE per line, what is the factory occupancy rate, where am I losing time? This aggregated, comparable, with a trend. A CEO needs to know: am I meeting the gross margin, what is the stock turnover, how much does my cash-to-cash cost me? This in a financial context.
Many implementations fail because they try a single dashboard that satisfies all three. Impossible. What works is a pyramid: many operational KPIs (in real time), fewer tactical KPIs (daily/weekly), few strategic KPIs (monthly).
The shop floor does not want business intelligence. It wants immediate feedback on its work.
We saw this in a plastic injection factory in Marinha Grande. When we presented a BI dashboard with 12 trend charts to the operator, he said: "Pretty. But I need to know whether the mould is properly adjusted right now." He was absolutely right. BI is for the director. The operator needs an immediate, visual feedback system, right there at the workplace. The correct architecture has three layers. The base is capture: industrial terminals that collect production in real time, with no paper, no delay. The middle layer is integration: an ERP that centralises the data from production, logistics, purchasing and sales. The top layer is visualisation: a BI that turns that data into dashboards by audience level.
The invisible cost: 2-3% of turnover in blind decisions
There is one metric that no one measures, but everyone pays. It is the cost of decisions made with incomplete information. A CEO of a tools distributor in Lousada urgently needed to know what his real stock was. He had an ERP, but the physical count was done once a year. Meanwhile, the system said he had 400 units of a product that, in reality, he had 180. Result: he sold what he did not have, lost an order worth 8,000 euros. He later calculated that the lack of real visibility was costing him 2-3% of turnover annually. This is invisible because it does not show up as a "BI cost" — it shows up as a "lost sale" or a "dissatisfied customer".
There is also the cost of the person-hours spent on manual consolidation. A textile SME with 60 employees spends, on average, one week per month of administrative work consolidating production figures, timesheets and orders. That is 48 person-hours per month. At Portuguese cost prices (~15 euros/hour), that is 720 euros per month. Multiplied by 12 months, that is 8,640 euros a year in pure administrative work. If an automatic capture system eliminated 80% of that work, the saving would be 6,912 euros in the first year — and it would grow afterwards because the freed-up time could be invested in analysis rather than consolidation. But no one calculates this. Because no one has visibility of how much time is spent on consolidation.
How to start without paralysing: the six-week prototype
Implementing business KPIs is not an 18-month digital transformation project. You can start with a prototype in six weeks. The method is simple and has four steps.
Weeks 1-2: choose the process that hurts. If it is production, start with OEE. If it is logistics, start with picking time. If it is sales, start with conversion rate or days-to-collection. One process. One metric. One clear owner.
Weeks 2-3: define how you are going to measure it. It could be an industrial terminal, it could be a mobile form, it could be an integration with the ERP. The important thing is that it is automatic. If it requires manual work, it dies within three months.
Weeks 3-4: establish the baseline. Measure for four weeks without changing anything. This is important — the team needs to see what "normal" is before receiving any pressure to improve.
Weeks 4-6: share the number and let the team improve. Every day, at the shift meeting, state what yesterday's result was. Without judgement. Just the number. The team starts to take ownership of the indicator. The operator knows where the inefficiency is. If you give them visibility of the number, they will suggest how to improve. This is more powerful than any top-down instruction. After 12 weeks, when this cycle is consolidated, add a second KPI. Not before.
Technology without discipline is a cost; discipline with technology is a system
There is a belief that implementing KPIs is implementing technology. It is not. It is implementing discipline. We have seen companies with Qlik Sense, a top-tier ERP and automatic capture that continue to make decisions by intuition. Why? Because no one forced them to use the numbers. The CEO would still go down to the floor, look at production and say "I can see everything's fine" — ignoring the dashboard that showed six unplanned stoppages that morning.
Technology is the enabler. Discipline is what works. What we see in companies that succeed is this: the KPI is on the meeting-room screen. Everyone sees it when they walk in. It is also on the manager's phone. When the result deviates from the target by more than 5%, someone calls. This is culture, not technology. Technology without culture is a cost. Culture with technology is a system.
Three questions to ask at the next management meeting
If you are the CEO or COO of an industrial SME, ask your IT Director or operations manager these three questions:
How long does it take to calculate our OEE? If the answer is "a week" or "the supervisor knows when he sees it", you have a capture problem. OEE has to be calculated daily, preferably in real time.
How many different versions of the same number exist in the company? If there is one number in the ERP, another in the controller's spreadsheet and another in the production manager's memory, you have an integration problem. The source of truth must be single.
Who owns each KPI? If no one can answer — or if the answer is "it's everyone's responsibility" — you have a governance problem. Each metric needs a clear owner, someone who monitors it daily and who is accountable for the deviations.
Frequently asked questions
What is OEE and why is it important for industrial SMEs?
OEE (Overall Equipment Effectiveness) measures operational efficiency by combining availability, performance and quality. For industrial SMEs, it is essential because it reveals invisible losses — unplanned stoppages, slow cycles or defects — that directly affect profitability. Without measuring OEE, you are operating blind.
What is the difference between a shop-floor KPI and a management KPI?
A shop-floor KPI needs immediate feedback (how many parts did I make today, what is my cycle time) and is operational. A management KPI is aggregated and comparable (OEE per line, occupancy rate). A CEO needs financial context (gross margin, stock turnover). Each hierarchical level has different needs.
Why do KPI implementations fail in SMEs?
They fail because they try to serve every level with a single dashboard, because they measure too many KPIs simultaneously (8 instead of 1), or because the numbers take weeks to calculate. A KPI that takes a week is useless. Start with one, validate it, then add another.
How many Portuguese SMEs use an ERP?
Only 53.7% of companies in Portugal use an ERP. The remaining 46.3% operate with manual integration between systems or spreadsheets. Without a centralised source of truth, KPIs become opinions, not facts that change behaviour.
How do you structure the implementation of KPIs in an SME?
Start by identifying the problem that hurts most (cycle time, scrap, warehouse occupancy). Measure that KPI rigorously for four weeks. When the team validates the number on the floor, behaviour changes naturally. Only then add a second KPI. Rapid implementations with multiple KPIs generate confusion and resistance.
What is the real cost of not having KPIs well implemented?
Studies show that the lack of real visibility costs 2-3% of turnover annually — in lost sales, dissatisfied customers or wrong decisions. Add the person-hours spent on manual data consolidation. A textile SME with 60 employees loses one week per month on unnecessary administrative work.
Which data capture system is best for the shop floor?
Industrial terminals that collect production in real time, with no paper and no delay. The correct architecture has three layers: capture (terminals), integration (centralised ERP) and visualisation (BI by audience). The operator needs immediate feedback at the workplace, not trend dashboards.