1 model
Everyone agrees on
Sales, finance and ops finally seeing the same number for the same word.
← Services06 / Data analytics & automation
Smarter business operations.
One trusted data model, three dashboards, decisions made faster.
Why this matters
Most businesses are drowning in data and starving for decisions.
Every business we work with has more data than they realise, in their POS, their CRM, their accounting package, their delivery app, their WhatsApp inbox. The problem is rarely a shortage of numbers. It is that the numbers live in seven systems that disagree with each other, and nobody trusts the report enough to act on it.
Our analytics work starts with picking three decisions your leadership needs to make better, and tracing back to the data those decisions need. We then build one model, usually in dbt or Python, that everyone in the business can agree is the source of truth. Dashboards come last, not first. Three of them, each for a role and a decision.
Once the foundation is in place, automation gets cheap. Stock reordering, invoice chasing, KYC checks, daily ops reports, the obvious wins start paying back within weeks.
What's included
Everything you get in scope.
Fixed scope, fixed budget. If something new comes up mid-engagement, we re-scope in writing before it lands on an invoice. No surprises, no hidden line items.
Business dashboards
Sales, operations, finance and customer-success views, each one built for a specific role and a real decision.
Data visualisation
Charts that tell a story in five seconds, not interactive toys that take an hour to explore.
Reporting systems
Automated daily, weekly and monthly reports straight to email, Slack or WhatsApp.
Workflow automation
Quiet automations between your existing tools, Sheets, Sage, M-PESA, CRM, accounting, that remove human copy-paste work.
AI-assisted processes
LLM-powered triage, summarisation and document extraction wired into your real workflows.
Operational analytics
Lead-time, fulfilment, churn, NPS and SLA tracking with proactive alerts when something drifts.
Stack
PythonSQLdbtMetabasePower BILooker StudioPandasAirflow
Outcomes our clients see.
3 dashboards
Not thirty
One per role. Read in five seconds. Actioned the same day.
10–20 hrs
Saved per week
Typical recovery from removing manual report-building in the first month.
Four steps. Same rhythm every engagement.
Source audit
Every system that produces data is catalogued and scored for trust, completeness and freshness.
One model
A dbt or Python project that produces the metrics everyone in the business agrees on.
Dashboards
Three dashboards, not thirty, each one for a specific role and a specific decision.
Monthly review
One hour each month to tune the model based on what is actually being used and what is gathering dust.
Real examples from the market.
Daily stock-and-margin dashboard for a Nairobi supermarket chain, pulling from POS, suppliers and accounting.
Fleet utilisation and fuel-cost analytics for a cross-border haulier serving the Northern Corridor.
Patient-throughput and revenue-cycle dashboard for a private clinic group across three counties.
Loan portfolio quality, arrears and PAR-30 tracking for a SACCO with 40,000 members.
Things buyers usually ask before signing.
Do we need to move all our data to a warehouse?
Usually not. We pick the smallest infrastructure that works, sometimes a single Postgres database with views is plenty. Warehouses earn their keep above a certain volume; below that they are overkill.
Can you automate without replacing our existing software?
Yes. Most of our automation work sits between the tools you already use, Sheets, Sage, your CRM, M-PESA, WhatsApp. We rarely need to replace the underlying systems.
What about data security?
We sign NDAs, we work in your environment when you prefer, and we follow the Data Protection Act 2019 for any personal data. We can also align to your ISO or SOC posture if you have one.
Ready to start? Let's talk.
One business day. Written plan. Fixed budget. No PDFs in a fortnight, no exploratory calls in disguise.