Operational dashboards — sales, orders, payments, stock and staff KPIs on one live screen.
service · data
Dashboards people
actually open.
Your business already produces the data — orders, payments, customers. The gap is turning it into numbers someone actually looks at.
who this is for
Sound familiar?
- Owners making decisions off vibes because reports take days
- Teams assembling the same spreadsheet every Monday
- Platforms with rich transaction data nobody can query
- Managers who need one number, not forty rows
the honest bit
What it costs.
Single-source dashboards start around KES 60,000–150,000; multi-source pipelines and BI layers scope by data complexity. If your data lives in one app already, the first dashboard is usually fast.
deliverables
What you get.
Reporting automation — scheduled reports to email/WhatsApp replacing manual assembly.
Data pipelines — pulling from your apps, sheets and payment providers into one queryable store.
Payment reconciliation views — every M-PESA transaction matched to its order, flagged when it isn't.
Customer analytics — cohorts, repeat rates and the segments worth marketing to.
Export & audit trails — clean CSV/Excel outputs and the history behind every number.
how it ships
The process.
step 1
Question-first design
We start from the decisions you make weekly — then find the data that answers them.
step 2
Source audit
Where the data lives (DBs, sheets, APIs), how clean it is, what's missing.
step 3
Build the pipeline
Automated pulls and cleaning — no manual exports to maintain.
step 4
Iterate on use
Dashboards evolve with the questions; the first version is never the last.
proof
Relevant work.
Not mockups — systems running in production.
// related reading
faq
Straight answers.
My data is scattered across sheets and apps — can you still help?
That's the normal starting point. The pipeline work is pulling it together once, automatically — then the dashboard is the easy part.
Do I need a data scientist?
Most SMEs need engineering, not science — clean pipelines, correct aggregations, readable charts. I bring in heavier analytics only when the questions need it.
Can it send reports automatically?
Yes — scheduled email or WhatsApp digests are a standard feature. The best dashboard is the one that arrives by itself.
What tools do you use?
Whatever fits the team: custom dashboards on your stack, Metabase-style open BI, or embedded analytics inside the system you already run.
Tell me the three numbers you wish you saw every morning — I'll put them on one screen.
Written scope, honest pricing, 30-day defect warranty on everything I ship.