Managing a business is a sequence of decisions. We isolate the data that should sit in front of those decisions, and the operating rhythm that keeps them aligned with the plan.
Most dashboards are unread. We start from the decision: pricing, cost, working capital, whether to expand. Then we build the smallest set of numbers that should sit in front of that decision, on a rhythm management will actually keep.
The data usually already lives in the ledgers. Our job is to stop it dying there, and to make the operating reports match the plan the board thinks it approved — wherever the entity sits in Nigeria.
Who this is for
- Operators who have a decision in front of them — pricing, cost, working capital, whether to expand
- Boards whose management reports do not match the plan they think they approved
- Finance teams sitting on ledgers that never become a usable pack
What is included
- Decision analytics — pricing, cost and growth — the numbers that should sit in front of the next decision
- Data consulting — governance, data quality and an analytics roadmap aligned to the business
- BI and visualisation — live packs, KPIs and dashboards that are readable in the meeting
- Financial analytics — profitability, cost, cash and risk
- Customer, market and operational analytics — segments, supply chain and productivity
- Predictive models — demand, customer behaviour, fraud and risk — models management can interrogate
- Data management — integration, cleansing and master data, in the cloud or on-premise
- Management reporting and goal frameworks — reports operators will read, and objectives that cascade
How the work runs
Every engagement follows the same four steps: listen, scope in writing, do the work, stand behind it. The calendar and the named partner are in the letter — not in a follow-up email that never comes.
Questions we are asked
- Will you build us a dashboard?
- Only if it sits in front of a decision someone will actually take. Most dashboards are unread. We start from the decision.
- Do you need a data warehouse first?
- Usually not. The data already lives in the ledgers. The job is to stop it dying there.
- Which tools do you use?
- Whatever fits the problem and the licences you already hold — Power BI, Tableau, SQL, Python and R among them. We are not tied to a vendor.