Business Intelligence · and forecasting
Ask the business a question. Get the answer today.
If the answer to a simple question starts with an export, your reporting is costing you decisions. We wire dashboards to live sources, agree one number for each thing that matters, then add the forecasts.
What you hand us, and what comes back.
You hand us
- Monthly reports assembled by hand
- Numbers that change depending on who pulled them
- Data spread across tools that do not talk
- Forecasts that live in one analyst's spreadsheet
You get back
- Dashboards on live data, behind a login
- One agreed definition for each number that matters
- Anything conflicting flagged, never quietly corrected
- Forecasts for demand, churn and revenue once the base is trusted
What we have built.
From our own project records, client names removed.
Emailed files and spreadsheets become dashboards, scheduled reports and exception alerts.
n8n · Claude · GitHub · Cloudflare Pages and Access · Brevo
Daily and weekly management reports for a member-services call operation.
Cloudflare Workers, D1 and Pages · Microsoft Graph
Payroll and revenue workbooks become a management dashboard and PDF, with actuals kept apart from projections and employee names redacted.
Python · openpyxl · headless browser PDF
A multi-organisation CRM: clients, deals, terms, tasks and files, with finance records restricted by role.
Cloudflare Pages, D1, KV and Access
Read the business intelligence case studies → or see all eight.
Three disciplines, one set of numbers.
AI speeds up the pattern-finding. We spend our time on the interpretation. Behind it: hundreds of dashboards and thousands of visuals built, and databases of millions of rows made readable.
Business intelligence
Executive, operational and financial dashboards that refresh without manual exports, with plain-language questions for the people who should not need SQL.
Data science
Demand forecasts, churn risk, lead scoring and anomaly detection, delivered into the dashboards and workflows where decisions already happen.
Business analytics
Performance, profitability and unit economics on demand, with patterns in cohorts, segments and outliers surfaced for you.
How the work runs.
Define
The decision the data has to support, and the number that would change it.
Collect
From the systems you already run, on a schedule, not by export.
Clean
Conflicts flagged and fixed at the source, never quietly corrected.
Analyse
Trends, segments and outliers, with statistics where they earn their place.
Interpret
A short narrative with every report: what changed, why it matters, what we recommend.
Governance first
Analytics without data governance is driving without a speedometer or a fuel gauge. Each engagement settles who owns which data, and how it is kept.
- Architecture
- Modelling
- Storage
- Security
- Integration
- Master data
- Metadata
- Quality
Run like a project
Build, maintenance and change requests follow PMI's process groups: initiate, plan, execute, monitor, close.
Three ways to deliver.
Automated reports
Designed once, then extracted, transformed, loaded, tested and sent on schedule, without anyone assembling them.
Online dashboards
A full-page view or embedded in a page you already have, protected, with access set per person.
Data uploads
Clean data delivered into your own tools on a regular schedule, or on request.
A report for every level
- Board
- Executive
- Management
- Departmental
- Line of business
- Product
- Customer activity
- Financial
- Productivity
On the cadence you manage by
- Daily
- Weekly
- Monthly
- Quarterly
- Annual
Start with something small enough to judge.
One trusted dashboard
Pick the meeting that runs on a hand-built report, and replace the report.
A number everyone agrees on
Define it once, source it once, show it everywhere.
A first forecast
Start with the prediction that would change a decision this quarter.
Straight answers.
Our data is a mess. Is it too early for this?
It is the normal starting point. The first project usually fixes one source properly, which is worth more than a dashboard on top of all of them.
Do we need a data warehouse first?
Not always. We start from the decision you need to make and add only the plumbing that decision requires.
Can you work inside the tools we already pay for?
Yes. The aim is fewer tools in front of your team, not one more.
What this runs on
- n8n
- Cloudflare Workers
- Cloudflare Pages
- Cloudflare D1
- Cloudflare Access
- PostgreSQL
- GitHub
- Microsoft 365
- Google Workspace
Most engagements end up touching more than one.
Tell us what needs to happen.
Thirty minutes, your agenda. You leave with a first step whether or not we work together.
omari@monosolution.xyz+1 213 556 4010