In most companies in the region, decision-making relies on an exhausting ritual: at the end of every month, one trusted person collects files from the branches, copies out the ERP figures, reconciles discrepancies by hand, and formats a committee report. Two days of work, numbers that diverge depending on the source, and management discovering on the 5th of the month what happened three weeks earlier.
Our approach: yesterday's numbers, available every morning. Consolidation becomes an overnight process, no longer a job.
The problem is almost never a lack of data. It's that it's asleep across five systems that don't talk to each other, and that the one person who knows how to piece it together will one day go on leave.

No three-week training and no decision-support jargon: screens that answer the questions you're already asking. How much did we sell yesterday? Where's our cash position? Which branch is falling behind? Who needs a follow-up call?

A dashboard tells you where you stand. The next step is to anticipate: demand forecasting, anomaly detection, scoring. That's the territory of our Artificial Intelligence practice, which builds precisely on the data warehouse constructed here.
Inventory of your sources (ERP, Excel, cash registers, Mobile Money), definition of the KPIs that matter to your committee, and a roadmap prioritized by value.
Automatic, historized consolidation of your systems into a single data warehouse, with quality rules at intake. Your data belongs to you, hosted wherever you decide.
Management, finance, sales, and operations dashboards; regulatory statements and committee exports generated from the same data.
Training your teams in data exploration, skills transfer, TMA (application maintenance) support. Our stated goal: you no longer need us to build a new KPI.
Every figure displayed can be traced back to its source. The data flows run overnight, monitor themselves, and a failed load is visible before anyone presents a wrong number.


“Net revenue,” “active customer,” “outstanding balance”: as long as every department has its own formula, meetings serve to reconcile numbers instead of making decisions. We write each definition once, with you, and the system then applies it everywhere: dashboards, exports, alerts.
Quality checks run every night with the data flows: duplicates, unclosed cash registers, incomplete entries become visible and fixable, instead of being discovered at year-end close.
For banks, MFIs, and regulated institutions, BI isn't just about decision-making: it's the ability to produce the periodic statements required by the regulator without tying up a team for a week.
For banks and MFIs: the statements required by the BCEAO and the Banking Commission, generated from the data warehouse with an audit trail, in line with your license and obligations.
The same data as accounting, never a parallel re-entry: what the statutory auditor sees is what the committee sees.
Mandated formats (Excel, XML) produced automatically at each deadline, without tying up a team for a week.
Figure-by-figure traceability, right down to the original entry, is at the heart of our architecture, not an option. It's what makes a regulatory statement defensible before both the regulator and the statutory auditor.
With a defined scope and accessible sources: that's the first thing we verify together during scoping.
Daily portfolio-at-risk tracking, regulator statements
Provisions anticipated, reporting delivered on time
Margin by branch and by product, discount tracking
Discounts under control, stock-outs anticipated
Yield by line and by site, raw material costs
Variances seen weekly, not at year-end
Profitability by contract and by site
Overruns detected before project close
Program KPI tracking
Automated donor reporting
Reconciliation of transaction volumes
Discrepancies detected the next day
Odoo integrator and business software developer: we know how to connect a data warehouse to your real-world systems (ERP, Excel, cash registers), not to an idealized IT setup.
SYSCOHADA, BCEAO requirements, donor formats: the UEMOA context isn't an add-on for us, it's our home ground.
No per-user licensing that spirals out of control when the whole company wants to see the numbers. Your data and your tools belong to you.
Systematic skills transfer: your team builds its own KPIs by the end of the project.
Open source as the default choice, Power BI when your environment is already Microsoft: the tool adapts to your teams, not the other way around.
45 minutes with a consultant. What you get out of it, with no commitment: