Reporting and analytics
“We cannot trust our reports, or they arrive too late to act on.” If that sounds familiar, these are the problems we solve here and the services that do it.
The services that solve this
21 use cases across 10 industries come back to these 3 services. Each one has its own page with what it covers and how work starts.
Reporting and analytics: problems we solve
What companies tell us, and what we build for it. Pick your industry to see the ones from your sector first.
21 use cases
Problem: Demand planning runs on last year's spreadsheet and experience.
What we do: Sales and stock dashboards by product, location and channel, with forecasts where the history supports them.
Problem: Ticket, timesheet and project data sit in separate tools, so utilisation and margin are guesswork.
What we do: One reporting model joining tickets, timesheets and projects, with utilisation and margin dashboards.
Problem: Bed, theatre and lab capacity is reported a day late, after decisions are already made.
What we do: Operational dashboards for beds, appointments, lab turnaround and billing, refreshed through the day.
Problem: Rates are set from experience, because occupancy and pickup data are not in one view.
What we do: Occupancy, pickup, rate and revenue dashboards by property, channel and date.
Problem: Vehicle, fuel and maintenance costs are reported a month late, if at all.
What we do: Fleet cost reports per vehicle, route and customer, built from fuel, trip and maintenance data.
Problem: Network faults are noticed from customer complaints rather than from the alarms already being logged.
What we do: Alarm and performance data collected into one store, with dashboards and alerts by site and region.
Problem: Content spend is hard to judge, because viewing data is not tied to titles and costs.
What we do: Viewing and engagement reports per title, joined to content cost where you have it.
Problem: Students who are falling behind are noticed only after exam results.
What we do: Attendance, assignment and assessment data joined per student, with early-warning reports for teachers.
Problem: Nobody can say which courses or content actually help students learn.
What we do: Course and content engagement reports tied to assessment results.
Problem: Promotion spend is large, but nobody can say which schemes paid off.
What we do: Promotion reports comparing sales during schemes against a baseline, by product and region.
Problem: Stock-outs at distributors are discovered after the sales are lost.
What we do: Distributor stock and fill-rate reports, with alerts when cover runs low.
Problem: Credit and claims decisions use only part of the customer data the firm holds.
What we do: A customer data model joining accounts, loans, policies and interactions for risk and underwriting teams.
Problem: Every review meeting starts with an argument about whose numbers are right.
Any industry
What we do: We agree one definition per KPI with your team and build every report on the same model.
Problem: Our analysts spend days each month pulling reports together in spreadsheets.
Any industry
What we do: We automate the data collection and build reports that refresh on their own.
Problem: We have dashboards, but nobody opens them.
Any industry
What we do: We start from the decisions each team makes and rebuild the dashboards around those.
Problem: Our data scientists built a model, but it never left the notebook.
Any industry
What we do: We package it, deploy it behind an API and connect it to the system that needs it.
Problem: We want to forecast demand, but we are not sure our data is good enough.
Any industry
What we do: We check the history you have and tell you plainly what a model can and cannot do with it.
Problem: Our model worked at launch, and nobody knows how it performs now.
Any industry
What we do: We add monitoring for accuracy and drift, and set a retraining routine.
Problem: We have plenty of data but are not sure which questions to ask of it.
Any industry
What we do: We start from the decisions in your sector and work back to the data they need.
Problem: Leadership wants an answer on one question, not another dashboard.
Any industry
What we do: We run a focused analysis and present the findings with the data behind them.
Problem: We do not know what to build next.
Any industry
What we do: We write a data roadmap in the order that suits your business.
What you can hold us to
Companies we have delivered projects for:
A written plan before any work starts
After the first call we review your setup and send scope, timeline and team in writing.
Documentation with everything we deliver
Pipelines, databases, dashboards and deployments are handed over with documentation your own team can follow.
One team accountable for the result
The same engineers work across your databases, pipelines, dashboards and releases.
Talk to us about reporting and analytics
Tell us what is going wrong and an engineer from our team will get back to you to set up a call.