Data & BI
Data Factory for a national airline
Framed and deployed an end-to-end data chain, from ETL to dashboarding, for commercial, HR and operational activities, with more than 50 dashboards delivered.
Offer 01 · C-Level Advisory
Digital, Data & AI strategy consulting for executive committees
Set the course, choose the right architectures and align technology with your business priorities, with advice that is independent from any vendor.
Why independent Data & AI strategy advice?
Generative AI, cloud, data mesh, analytics platforms: technology options have never been so numerous, and the trade-offs have never weighed so heavily on the P&L. The challenge for executives is no longer access to innovation, but deciding with confidence:
- Which Data & AI use cases will create real value within 12 to 18 months?
- Which application, analytics and cloud architecture should we choose without vendor lock-in?
- Is our data estate ready to support our AI ambitions?
- How should governance be organized to move from POC to industrialization?
EDX Advisory has no resale agreement with any software vendor or integrator. Our recommendations are aligned exclusively with your objectives.
What we do
1. Clarification & Data & AI roadmap
Digital, Data & AI maturity assessment, identification and qualification of high-ROI use cases, prioritization by value, feasibility and data readiness, and an operational, costed and sequenced roadmap.
2. Architecture choices & technology trade-offs
Support in choosing application, analytics and cloud architectures: scenario comparison, total cost analysis (licenses, integration, operations, reversibility), critical review of vendor proposals and securing decisions at executive committee level.
3. Data governance & Center of Excellence
Design of the data governance framework (roles, master data, quality, security, GDPR and EU AI Act compliance), set-up of a Data & AI Center of Excellence (CoE) and skills transfer to your teams.
Typical deliverables
- Data & AI maturity assessment and pain-point map
- Prioritized use-case portfolio with value estimates
- 12-36 month roadmap, budget and resourcing plan
- Target architecture recommendation and transition scenarios
- Data governance model and CoE organization
These engagements usually take the form of a 2-to-6-week Strategic Framing, optionally followed by Executive Advisory support (a few days per month). See engagement models.
Related references
References are anonymized to preserve the confidentiality of the organizations supported.
AI & Automation
AI use cases for a national pension institution
Led AI use cases covering claims handling, product recommendations and automated data controls, together with change management and training for more than 500 employees.
Customer Data
360-degree customer view for a pan-African telecom group
Deployed a customer insight solution across 11 subsidiaries, securing interactions with core systems, partners and local payment and identity institutions.
Further reading
Data & AI
Without quality data, AI runs on empty
Why the success of AI use cases depends first on governance, data quality and operational maturity.
Data & GovernanceBanks in francophone Africa: data governance is no longer optional, it is urgent
Why data governance has become a strategic emergency for banks in francophone Africa.
IT & AI series · Episode 2Generative AI and IT budgets: the "divided by 4" illusion
What generative AI really changes, and does not change, in the cost of an IT program.
Frequently asked questions
How long does a Data & AI strategy engagement take?
A Strategic Framing usually takes 2 to 6 weeks depending on scope: assessment, use-case prioritization and roadmap. It can be followed by recurring support of a few days per month.
Are you tied to a software vendor or cloud platform?
No. EDX Advisory has no resale agreement or conflict of interest with software vendors, integrators or cloud providers. Our architecture recommendations are neutral.
Where should an AI program start when the data is not ready?
With a targeted data maturity assessment focused on priority use cases. Experience shows that data quality, accessibility and governance matter more to AI success than the choice of model. See Without quality data, AI runs on empty.
Do you work outside Tunisia?
Yes. We work across Europe, North, West and Central Africa and the Middle East, on site or remotely.
Our other services
Offer 02 · Program Management
Program Management & Recovery
Executive steering of complex programs, PMO, recovery of troubled IT projects and IS modernization.
Offer 03 · IT Services & VendorsIT Services & Vendor Performance
Profitability (utilization, day rates, margin), move up to advisory offers, consortia and large tenders.
Offer 04 · Tech & Data Due DiligenceTech & Data Due Diligence
Architecture audit, technical debt, Data/AI assets and compliance before investment, then a 100-day plan.
A Digital, Data or AI challenge to secure?
Let's discuss it during a confidential 30-minute framing session.