Beneath AnalyticsIndustries
Eight sectors, one data foundation.
The sector changes the stakes, not the pattern: systems that do not talk to each other, reports that arrive after the decision, and numbers nobody can trace back to a source. Each page below sets out what goes wrong in that sector, how we work on it, and where it usually starts.
Where we work.
Pick your sector to see the challenges we see most often, the approach we take, and the solutions it usually starts with.
- Industry
eCommerce & Retail
Most online stores know what they sold and very little about why. We fix the measurement underneath: tracking that survives ad blockers and cookie banners, one view of what each channel really contributes, and retention numbers that show who is about to stop buying. For a €15M brand, the first review found €180K of misallocated ad spend in month one.
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Health Care
Hospitals, clinics and care providers hold the answers to their own capacity and staffing questions, but the data sits in separate systems. We bring it together in a GDPR-native warehouse and build reports for the people who decide, so next week's demand is visible while there is still time to act, and personal data is handled the way regulators expect.
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FinTech
For payments and financial services firms, the cost is in the manual work around the data: reports compiled by hand, fraud found after the money has moved, and figures nobody can trace for an auditor. We automate the pipelines, put checks and an audit trail behind every number, and build detection on live data. For one payments business, reporting that took three days now takes four hours.
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Hospitality
Hotels and venues rarely lack data; they lack one place where bookings, rates and marketing sit together. We join them, so you can forecast demand from your own history, see which channels create bookings rather than just collect them, and reduce OTA commission with evidence behind the decision.
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Real Estate
Property businesses get enquiries from portals, ads and their own website, then lose track of which ones were worth the money. We make every enquiry carry its source into the CRM, score leads on how past ones converted, and give sales a live pipeline view in place of a weekly manual pack.
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Automobile
Vehicle makers, dealers and fleet operators generate telematics, service and sales data that rarely meets in one place. The useful work is connecting those sources, making the numbers trustworthy, and then building alerts for components likely to fail and a clear view of what each sales channel really produces.
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Logistics
Late deliveries usually show up in a weekly report, after the customer has already called. We pull telemetry, orders and fleet data into one place, forecast demand and capacity, and flag exceptions during the shift: late loads, cost per lane, and routes that quietly lose money.
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Manufacturing
Most plants log plenty of machine data and look at it a month later. We connect machine, line and quality data so you can see where output is lost this shift, catch the conditions that lead to defects before a batch finishes, and plan from live orders instead of old spreadsheets. Process owners and process engineers also lose a large share of their week to writing and updating documentation, so we build workflows that draft it for them to review.
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