We help small businesses, clinics, and operations teams — anywhere in the world — turn messy spreadsheets and unreliable reporting into clean analytics that drive confident decisions.
Tools we work with
Industries we've built reporting for
These aren't small problems. Unreliable reporting slows decisions, erodes trust in your data, and creates real operational risk. That's what we fix.
Your spreadsheets work, but nobody fully trusts the numbers.
You're pulling the same manual report every week and it takes hours.
Your dashboards exist, but they're out of date or nobody uses them.
You have data. You just can't get a clear answer from it.
You went through a system migration and now your reports don't reconcile.
Your KPIs look different depending on who pulls them.
Practical analytics work — not theory. Every engagement is focused on a clear outcome you can see and use.
We build Power BI dashboards that connect to your actual data sources — not static exports. You get real-time KPIs, filters your team can use, and a report that stays accurate without manual effort.
Good for: Teams that need visibility across sales, operations, finance, or clinic performance.
We help you identify the metrics that matter, build a reporting routine around them, and give you a clear view every week or month — with no manual work. We also build predictive forecasts so you can see where your numbers are heading — and cover operational research work like finance workflows, labor hours, and supplier invoice tracking.
Good for: Business owners and managers who need reliable reporting they can trust.
Not every team needs a full BI platform. We build Excel dashboards and reporting workbooks that are clean, structured, and built to last — with Power Query automating the routine work.
Good for: Small teams where Excel is already the tool of record.
If your source data is messy — duplicate rows, inconsistent formats, missing values — your reports will always be wrong. We clean it, document it, and build processes so it stays clean. We also handle database migrations from SAP or legacy systems to GCP and Google platforms, build automated pipelines to keep data flowing reliably, and run financial discrepancy detection to surface irregularities in invoices, supplier costs, and labor records.
Good for: Teams preparing for a migration, audit, or analysis project where data quality is a blocker.
Not sure which fits your situation?
Book a Discovery CallWe work best with teams and business owners who have real data problems — not hypothetical ones.
You're running the business, not analysing data for a living. You need clear, simple reporting that tells you how things are going — without hiring a full-time analyst.
Your team pulls manual reports every week. It takes too long, the numbers don't always match, and nobody fully trusts them. You need a better system.
Patient flow, appointment data, billing reconciliation, KPI tracking — healthcare reporting has unique complexity. We've worked with healthcare data and understand the environment.
You've been running on spreadsheets. It worked for a while. Now the business is bigger and the reporting is starting to break down. Time to build something that scales.
Your data moved to a new system, but the reports aren't reconciling and you're not sure what you can trust. We've done this kind of audit work before.
If your situation isn't on this list but you have a data or reporting problem, reach out — we'll tell you honestly if we can help.
Book a Discovery Call// Recent Work
Real projects. Real problems. Documented outcomes.
Background
Real-time operational dashboard
Problem
No real-time visibility into bed occupancy. Clinical decisions relied on day-old manual data exports.
Approach
Connected live hospital data to a Power BI dashboard with automated refresh and department-level KPIs — no manual pulls required.
Result
Live bed occupancy and length-of-stay tracking available to all departments. Zero manual exports.
Tools Used
Dataset normalization & validation
Problem
A 2,000-row marketing dataset had inconsistent formats and 34 date errors — making reports unreliable for analysis.
Approach
Built a Python/Pandas pipeline to normalize fields, fix date errors, cap outliers, and reduce categories from 10 to 6.
Result
All 34 errors resolved. Dataset cleaned, validated, and ready for reliable reporting.
Tools Used
Data quality & exception reporting
Problem
After a system migration, no validation was in place. A cancellation rate spike from 6% to 33% went completely undetected.
Approach
Built a refreshable Excel QA workbook with Power Query staging, exception flagging, and pivot-based reconciliation across 7 categories.
Result
9 high-severity exceptions surfaced and documented. Full audit trail delivered — stakeholder-ready.
Tools Used
Usage patterns & demand analysis
Problem
15,000 rides across 25 stations — no validated analysis of usage patterns, peak demand, or rider behaviour.
Approach
Loaded three CSV files into BigQuery, validated data quality, then analysed patterns using SQL JOINs, CTEs, and window functions.
Result
Peak demand confirmed at 15:00–16:00. Casual riders averaged longer trips than subscribers — actionable for operations.
Tools Used
Want to see how this applies to your business?
Book a Discovery CallA clear, low-friction process — from first call to finished deliverable. Most projects take 1–3 weeks depending on scope.
15 min · Free · No commitment
We talk through your current reporting situation, what's broken, what you need, and whether we're the right fit to help. No sales pitch.
Written, clear, no surprises
We send a written proposal: what we'll build, what you'll need to provide, the timeline, and the cost. You review it before anything starts.
Progress updates throughout
We do the work and keep you in the loop. You review deliverables before we finalise anything — no black-box development.
You own it when we're done
You get the finished deliverable plus documentation so you understand what was built and how to use it. We don't disappear after delivery.
Ready to start? The discovery call costs nothing and comes with no obligation.
Book a Discovery CallOur team consists of two senior analysts: one holds a PhD in machine learning and engineering, while the other brings hands-on experience building large-scale data systems across tech, healthcare, and banking.
We're also supported by two skilled data analysts and a business analyst — giving us the depth to handle everything from raw data cleaning to executive-level reporting.
Together we work with smaller teams who have the same problems as large enterprises — but don't have a full analytics department to fix them.
We ask questions before we build anything.
We explain what we're doing in plain English.
We document our work so you're not dependent on us forever.
We'll tell you if your problem is outside our scope.
You get senior-level attention — not handoffs to junior staff.
Our focus
We're not a generalist agency. We specialise in Power BI, Excel, data cleaning, and reporting systems.
That's it. That's what we're good at. If you need clean data and clear dashboards — and you want a team that will actually deliver — we'd like to help.
What we work with
Any data you share with us — spreadsheets, exports, reports — is used exclusively to do the work you hired us for. Nothing else.
We do not retain client data beyond project completion, sell it to any third party, or use it for any purpose outside your engagement.
All work is covered by a confidentiality obligation. What you share with us stays with us — and is deleted when the project is done.
Read our complete Privacy Policy for everything we collect, how we use it, and your rights.
Start with a free 15-minute discovery call. You describe your situation — we tell you what's possible and whether we can help.