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Start from your industry or from what is going wrong. Each use case shows what we build for it and which service does the work.
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All 81 use cases
Reporting and analytics
We cannot trust our reports, or they arrive too late to act on.
BI Analytics, Industry Analytics & Consulting, AI & ML Model Integration
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.
Show 17 more in reporting and analyticsShow fewer
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.
Data integration
Our data is scattered across systems that do not talk to each other.
Problem: Stock figures differ between the ERP, the warehouse system and the stores.
What we do: Pipelines that bring ERP, warehouse and store data into one reporting store, refreshed on a schedule.
Problem: Machine stoppages are logged by hand, if at all, so their causes are hard to trace.
What we do: Collection of machine and production records into a database the maintenance team can query.
Problem: Online and in-store sales are reported separately and never quite reconcile.
What we do: One customer and order model across channels, so sales reports add up.
Problem: Patient records are split across hospital, lab and billing systems that do not share identifiers.
What we do: Integration pipelines that match patients across systems, using HL7 or FHIR where your systems support them.
Show 22 more in data integrationShow fewer
Problem: Reports, scans and notes arrive as PDFs and images rather than structured data.
What we do: Extraction of key fields from reports into structured tables, with the source document kept for reference.
Problem: Bookings from OTAs, the website and walk-ins land in different places and are reconciled by hand.
What we do: Pipelines that bring channel, booking engine and property data into one reservations model.
Problem: Guest history is scattered, so repeat guests are treated like new ones.
What we do: A single guest record built from stays, bookings and loyalty data, with consent respected.
Problem: Consignment status lives in phone calls and spreadsheets, so customers chase updates.
What we do: A shipment tracking model built from bookings, scans and GPS, with status views for operations and customers.
Problem: GPS data is collected but never joined to trips, costs or delivery times.
What we do: Pipelines that tie telematics data to trips, routes and delivery times.
Problem: Warehouse, transport and billing systems disagree about the same shipment.
What we do: One shipment record across TMS, WMS and billing, with mismatches flagged for review.
Problem: Usage and network event volumes outgrow the databases and batch jobs built for them.
What we do: Streaming and batch pipelines sized for your event volumes, using tools such as Kafka and Spark where they fit.
Problem: Subscribers leave without warning, because usage, complaints and billing are never read together.
What we do: A subscriber view joining usage, complaints and billing, as the base for churn analysis.
Problem: Audience figures differ between the app, the website and each ad platform.
What we do: One audience model built from app, web and partner data, with definitions agreed up front.
Problem: Playback problems show up on social media before the team sees them in data.
What we do: Player and app event pipelines with dashboards and alerts on errors and buffering.
Problem: Overnight batch jobs on old databases leave reports a day behind.
What we do: A modern data warehouse or lakehouse, on platforms such as Snowflake or Databricks where they fit.
Problem: Admission, LMS, exam and fee data each sit in their own system.
What we do: One student record across admission, LMS, exam and fee systems.
Problem: Secondary and tertiary sales arrive late and in a different format from each distributor.
What we do: Pipelines that collect and standardise distributor and marketplace data on a schedule.
Problem: Field sales data and ERP figures tell different stories.
What we do: One sales model reconciling field apps, distributor data and ERP dispatches.
Problem: Suspicious transactions are reviewed days later, from batch reports.
What we do: Transaction pipelines and rules that flag unusual activity for review as it happens.
Problem: Regulatory returns are compiled by hand from several systems every period.
What we do: Automated, reconciled data feeds for regulatory and MIS reports, with a trail back to source.
Problem: Our data sits in separate systems that do not talk to each other.
Any industry
What we do: We connect the sources and move their data into one warehouse on a schedule you set.
Problem: Our nightly jobs fail and someone fixes them by hand each morning.
Any industry
What we do: We rebuild fragile jobs with retries, monitoring and alerts, and document how they run.
Problem: Reports disagree because each team cleans the data its own way.
Any industry
What we do: We move the cleaning and business rules into the pipeline, so every report starts from the same tables.
Problem: By the time our reports refresh, the moment to act has passed.
Any industry
What we do: We stream the events that matter to a live view or an alert, and leave the rest on batch.
Problem: We need to spot failed payments or stock-outs while they are happening.
Any industry
What we do: We build alerts on the event stream, routed to the team that handles them.
Problem: Our streaming setup works, but nobody trusts it after the last outage.
Any industry
What we do: We review it, fix how it handles failures and replays, and add monitoring.
Databases and cloud
Our databases are slow, fragile or getting expensive.
Problem: Cloud bills grow every month and nobody can say which client or product drives them.
What we do: Cloud cost reports broken down by account, environment and client, with tagging fixed at the source.
Problem: Booking platforms slow down during sales and holiday peaks.
What we do: Database tuning and monitoring for booking systems ahead of peak periods.
Problem: Billing disputes take days, because usage records are hard to trace.
What we do: Usage records stored so any bill can be traced back to its events quickly.
Problem: Our database slows down or fails right when we need it most.
Any industry
What we do: We find the queries, indexes and settings behind the slowdowns, fix them, and set up monitoring so issues show early.
Show 6 more in databases and cloudShow fewer
Problem: We do not know when our backups were last tested.
Any industry
What we do: We review your backup setup, run a test restore and put a schedule and a written recovery runbook in place.
Problem: Our only DBA has left, and nobody else knows how the databases are set up.
Any industry
What we do: We document what you run, take over day-to-day administration and stay on as your DBA team.
Problem: Storage and licence costs keep growing faster than the business.
Any industry
What we do: We look at sizing, retention and licensing, and recommend where to consolidate, archive or move.
Problem: Our hardware is due for renewal and we are weighing the cloud instead.
Any industry
What we do: We compare the options for your workloads and set out cost, effort and risk in writing.
Problem: We moved some systems to the cloud, and the bill is higher than expected.
Any industry
What we do: We review sizing, storage and idle resources and recommend what to change.
Problem: We want to migrate but cannot afford a long outage.
Any industry
What we do: We plan the cutover with you, rehearse it first and agree the downtime window in advance.
Security and compliance
We need to control who sees our data and be ready for audits.
Problem: Each client account has its own data rules, and access is managed by hand.
What we do: Role-based access, separation of client data and logged access to sensitive records.
Problem: Sensitive health data is copied into spreadsheets and shared more widely than it should be.
What we do: Role-based access, masking of personal fields and logged access, set up to match your privacy policies.
Problem: Customer, product and vendor records conflict between the ERP, the CRM and in-house systems.
What we do: Master data rules and matching, so each customer, product and vendor has one agreed record.
Problem: Student records, including data about minors, are shared through spreadsheets and email.
What we do: Role-based access and audit logs for student records, with personal fields masked in reports.
Show 6 more in security and complianceShow fewer
Problem: We are not sure who can see what, or whether we would pass an audit.
Any industry
What we do: We map who has access to which data, close the gaps and set up the records an audit asks for.
Problem: Customer data has been copied into spreadsheets and shared drives.
Any industry
What we do: We find where personal data lives, classify it and put access and retention rules around it.
Problem: A new regulation applies to us and nobody owns the response.
Any industry
What we do: We map its requirements to your systems and agree who owns each control.
Problem: A large customer sent us a security questionnaire we cannot answer.
Any industry
What we do: We review your controls, fix what is missing and help you answer with evidence.
Problem: An audit is coming and our records are scattered.
Any industry
What we do: We gather policies, access records and logs into one set your auditor can work from.
Problem: We are not sure what would happen if a laptop or database were breached.
Any industry
What we do: We write an incident response plan with your team and rehearse it.
Releases and DevOps
Releases and infrastructure changes are slow, manual and risky.
Problem: Releases depend on a few people running manual steps.
What we do: CI/CD pipelines and infrastructure as code, so releases are repeatable and reviewed.
Problem: Every release is slow, manual and a little risky.
Any industry
What we do: We build CI/CD pipelines with automated tests, so releases become small and routine.
Problem: Test and production environments never quite match.
Any industry
What we do: We define environments as code, so each one is built from the same definition.
Problem: We find out about problems from our customers.
Any industry
What we do: We set up monitoring and alerts on the signals that matter, routed to the people who can act.
Systems and processes
Our core systems and manual processes are holding the business back.
Problem: Royalty and rights reports are assembled by hand from several sources.
What we do: Rights and royalty reports generated from usage records instead of manual sheets.
Problem: Each new integration is a one-off script that breaks when either system changes.
What we do: Managed, monitored integrations between ERP, CRM and applications, built to be changed.
Problem: Legacy systems are costly to keep, but nobody is sure what depends on them.
What we do: A dependency map of legacy systems and a phased plan to move or retire them.
Problem: Older core systems make every new integration slow and risky.
What we do: Integration layers and APIs around core systems, with encryption and role-based access throughout.
Show 6 more in systems and processesShow fewer
Problem: Our core system runs on software its vendor no longer supports.
Any industry
What we do: We plan a staged move to a supported platform, starting with the data.
Problem: Sales, finance and operations each see a different version of the customer.
Any industry
What we do: We connect the systems and agree which one holds the record for each field.
Problem: Nobody is sure what our in-house applications depend on.
Any industry
What we do: We map the applications, their databases and their connections, and document them.
Problem: Key numbers are emailed around in spreadsheets every week.
Any industry
What we do: We replace the spreadsheet chain with a system of record and a shared report.
Problem: The same data is typed into three systems by hand.
Any industry
What we do: We connect the systems so the data is entered once.
Problem: We have tried large transformation programmes before, and they stalled.
Any industry
What we do: We work in short phases, each with a result you can use before the next one starts.
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.
Not on the list? Tell us yours
Most of our work starts from a problem described in a sentence. Tell us yours and an engineer will get back to you to set up a call.