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The right figure, at the moment the decision is made.
Four challenges, not a tool catalogue: a data strategy that starts from the decisions to be made, an architecture that holds, a governance that makes every figure explainable, and reporting the business actually uses. Around SAP and Salesforce, with SAP Analytics Cloud, Power BI or Tableau depending on your landscape. And a foundation on which AI can rely.
What CFOs and CIOs tell us
Six problems everyone recognises.
- Reconciliation
Three figures for the same margin depending on the source. Hours lost every month explaining discrepancies rather than deciding.
- Data model
Master data that diverges between finance, sales and operations. A model nobody can explain any more.
- Closing & group reporting
A closing that drags on for lack of ready data, SYSCOHADA statements and multi-country group reporting rebuilt by hand.
- Forecasting
A budget prepared in a tool that ignores actuals. Rolling forecasts that are not really rolling.
- Self-service
Business teams waiting for IT for every question, or rebuilding their own extracts in spreadsheets.
- Governance
Nobody is accountable for the quality of a piece of data. The most beautiful dashboard lies with confidence.
Four challenges
What we address.
Data strategy & architecture
The decisions to equip, the data that matters, the sources to connect. Then a unified foundation for SAP, Salesforce and third-party data: a data warehouse or data platform in the cloud, SAP Datasphere when the SAP ecosystem dominates, governed models the business understands.
Governance & quality
Master data, quality rules, lineage, named responsibilities. The condition for everything else: without reliable data, neither steering nor AI holds up. And personal data compliance under Law No. 2008-12, built into the setup.
BI & reporting
SAP Analytics Cloud on live SAP S/4HANA data, Power BI or Tableau depending on your landscape. Management dashboards, operational reporting, self-service for business teams. The figure on the dashboard is the figure of the transaction.
Foundation for AI
No reliable AI without governed data. Quality, master data, history, access: the foundation on which document extraction, assistant and forecasting use cases can rely. AI & automation →
Management & regulatory reporting
What management and the authorities expect, without re-keying.
A regional group produces consolidated management reporting every month, its SYSCOHADA financial statements by company and by country every year, and, depending on its sector, filings to its supervisory authorities. When these outputs come from the same governed data as day-to-day steering, they stop being an end-of-period project. That is how we design them: a single data model, explicit rules, automated and traceable outputs. SYSCOHADA closing: what it reveals about your ERP →
Our approach
Start from the decisions to be made.
Frame
The decisions to equip, the indicators that matter, the real users. We define them in workshops with finance, sales and operations. The existing setup comes afterwards.
Model
The data foundation: models, flows, history. A single data model that everyone can explain, hosted where latency and data residency allow.
Deliver insight
Dashboards and analytical applications, connected to SAP S/4HANA and Salesforce data, designed and tested with users, self-service included.
Plan
Budget, rolling forecasts and simulations, closed against actuals, articulated with your closing and group reporting processes.
Govern
Data quality, master data, responsibilities, compliance. Governance is not a phase. It is a permanent state.
What we take on
From raw data to shared steering.
Our data teams in Dakar combine technical skills and business skills: finance, sales, operations.
- Data strategy
Steering needs, indicators, audiences, sources, target architecture and roadmap. Business intelligence is designed from the decisions to be made.
- Architecture & data foundation
Data warehouse or data platform on AWS, Microsoft Azure or SAP Datasphere, feeds from SAP, Salesforce and the other sources, single data model.
- Dashboards & outputs
Management dashboards, operational reporting and self-service on SAP Analytics Cloud, Power BI or Tableau. Designed and tested with users.
- Regulatory & group reporting
SYSCOHADA statements, consolidated multi-company and multi-country reporting, sector filings, produced from the same governed data, with traceability.
- Planning & forecasting
Budget, forecasts and simulations with SAP Analytics Cloud, enriched with predictive models computed on your real data when volumes allow.
- Quality, governance & master data
Master data, quality rules, lineage, responsibilities, personal data protection. The condition for everything else, AI included.
The technology
The building blocks we put to work.
Decision workshop
Which figure are you missing to decide?
A short workshop with a senior consultant to map your current reporting, your reconciliation gaps and the decisions that deserve better tooling.
Let's talk →