Imagine you’re a commercial director. The quarter is drawing to a close and you want to know which customers are at risk of churning, which products are underperforming, and where your sales team is spending its time. You ask your sales manager. Who asks their assistant. Who pulls a report from the CRM, manually combines it with an export from the ERP, and three days later an Excel file lands on your desk.
By then, the decisions have already been made. On gut feel.
This is not an exception. This is the reality at the majority of companies even at companies that describe themselves as data-driven.
In all these cases, it’s not about technology for technology’s sake. It’s about concrete, measurable outcomes: higher margins, lower costs, less risk, faster decisions.
Is working with data a luxury or a necessity?
The honest answer: it depends on how seriously you take your competitive position. Companies that work smartly with data make better decisions, faster. They spot problems earlier. They find opportunities that others miss. And they stop spending money on things that don’t work which, at most organisations, is more than they realise. A few concrete examples:Concrete impact by sector
Retail chain 40 locations
Without integrated data from POS, staffing, and marketing campaigns, underperformance is guesswork. With one unified view, you steer precisely. A 5% margin improvement per store shows up directly on the annual accounts.
→ Direct P&L impact
Manufacturing plant
Combining machine data with maintenance history and production orders makes failures predictable. Unplanned downtime costs tens of thousands per hour. One prevented outage pays back an entire BI project.
→ ROI in a single incident
Service firm 200 staff
Which clients cost more hours than they generate? Which projects consistently overrun? Most companies can only answer these questions retrospectively after the damage is done.
→ Margin leak visibility
Non-profit / care
Accountability to funders and regulators demands reliable, timely reporting. Automated reporting saves hours and builds trust with external stakeholders.
→ Compliance & trust
What does it cost to not have good data?
This is the question that’s rarely asked, but that matters most. The costs of poor or missing data are largely invisible and therefore chronically underestimated.The hidden cost of bad data
500+ hrs/yr
Management hours wasted assembling reports at 10 managers spending an hour a week each
Months
Customer churn, declining margins, and rising costs stay invisible while they keep growing
Millions
In investment decisions new products, markets, campaigns made on instinct instead of data
Lost edge
Competitors who are data-driven identify opportunities faster. That gap widens as time goes on
The question isn’t “what does it cost to build this?” The question is “what does it cost us if we don’t?”