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From raw data
to decisions

5 complementary expertises, one Microsoft ecosystem. Each pillar builds on the others to transform your data into competitive advantage.

Advisory
Platform
Decisions
Automation
Governance
01
Pillar 1

Data & Business Intelligence

Before building, understand. Too many organisations invest in dashboards without clarifying their decision-making questions. The result: reports no one uses, data that doesn't connect, and wasted budget.

We start every engagement with a 5-day diagnostic — free of charge, no strings attached. At the end, you receive a clear report: where you stand, where you should go, and where to start.

What we analyse

Existing data sources
Data flows between systems
Needs by decision-maker profile
High-impact quick wins
Target architecture
Realistic budget estimate
Maturity diagnostic Business workshops Source mapping Data roadmap Budget scoping

Deliverables

Diagnostic report — Data maturity score, source mapping, gap analysis, prioritised recommendations
12-18 month roadmap — Phases, milestones, dependencies, estimated budget per phase
Target architecture — Data flow diagram, technology choices, Fabric sizing

After the diagnostic

You know exactly what your data is worth, which dashboards to build first, and how much it will cost. You can move forward with NJIADATA or with another partner — the diagnostic is yours to keep.

What we need from you: 2 hours with your IT lead, access to a sample of your current reports, and a 1-hour workshop with 2-3 business decision-makers. That's it. We handle the rest.
02
Pillar 2

Migration & Cloud Platform

Your on-premise SQL Server, SSAS cubes, SSIS packages, SSRS reports — they work, but they belong to a different era. Expensive maintenance, limited scalability, no easy way to cross-reference data.

We migrate your data stack to Microsoft Fabric: a unified Lakehouse, modern pipelines, OneLake storage that eliminates silos. No big bang — a progressive migration, source by source, with zero service interruption.

The migration journey

1
Inventory & audit · 1-5 days
Map every data asset: databases, cubes, reports, ETL packages, connections
2
Fabric architecture · 1-5 days
Design Lakehouse/Warehouse on OneLake, security model, F-SKU capacity
3
Progressive migration · 4-15 days
SSIS → Dataflow Gen2 / Pipelines · SSAS → Direct Lake semantic model · SSRS → Paginated reports
4
Validation & cutover · 2-4 weeks
Non-regression testing, parallel run, progressive cutover, legacy decommissioning

Typical total: 8 to 20 weeks depending on volume and complexity. No big bang — your existing systems keep running until the new platform is validated.

Microsoft Fabric OneLake Lakehouse Warehouse Dataflow Gen2 Pipelines Notebooks Direct Lake
Data Architecture

From raw files to reliable dashboards

Every data point passes through three refining layers. This architecture guarantees that the number on your screen is correct — traceable, verified, ready for decisions.

SQL Server
Excel
API REST
CSV / Flat
Open Data
Cleansing
Enrichment
Layer 01
Bronze
Raw Data
Exact copy from sources. Nothing is modified — even errors. Absolute traceability preserved.
Raw ingestion, zero transformation
ERP, CRM, files, APIs
Full history preserved
📦 Lakehouse · Parquet · Delta
Layer 02
Silver
Cleansed Data
Duplicates removed, types corrected, formats unified. Tables are linked. The reliable version of your data.
Deduplication, validation, typing
Cross-source joins
Quality scores per source
⚙️ Dataflow Gen2 · Notebooks
Layer 03
Gold
Business Data
KPIs calculated, aggregations ready, star schema semantic model. This is what Power BI consumes. Every number is verified.
KPIs, DAX measures, aggregations
Star schema: DIM_ + FACT_
Automatic documentation
🎯 Direct Lake · Power BI · Semantic Model
Your dashboards
NJIADATA_Dashboard_Direction.pbix
4.82 Md
Revenue
+12.4%
YoY Growth
94.2%
Quality Score
Region CA Margin Status
Europe 2.1 Md 18.4% OK
Afrique 1.8 Md 22.1% OK
Asie 0.9 Md 8.7% Alert
Before
Traditional ETL
Transform before loading. Rigid, slow, every change breaks the pipeline.
Extract Transform Load
With Fabric
Modern ELT
Load first, transform after. Flexible, fast, every layer is independent and traceable.
Extract Load Transform

"A dashboard that cannot trace the origin of every number is not a decision tool — it's a risk."

— NJIADATA Philosophy

Deliverables

Migration plan — Full inventory, old-to-new mapping, phased timeline, cutover criteria
Live Fabric platform — Configured Lakehouse/Warehouse, ingestion pipelines, semantic model, automated refresh
Technical documentation — Architecture, data dictionary, operational procedures, maintenance guide

After migration

All your data in a single Lakehouse. No more servers to maintain. Predictable costs. And most importantly: your data is ready for the dashboards, automation and governance in the next pillars.

03
Pillar 3

ERP & Transactional Backbone

The best dashboards start with reliable data.

Most Business Intelligence projects fail for a simple reason: source data is unreliable. When accounting runs on Excel, procurement is managed on paper, and HR tracks headcount in an unshared file, no dashboard can produce actionable truth.

That's why NJIADATA intervenes upstream, on the transactional system itself. Microsoft Dynamics 365 Business Central is our foundation: general and subsidiary accounting compliant with the revised SYSCOHADA, procurement and inventory management, project-based and donor-based budget tracking, and fixed asset management.

Once Business Central is in place, the connection to Power BI is native. Every journal entry, every purchase order, every inventory movement automatically feeds strategic dashboards.

SYSCOHADA Accounting

Chart of accounts compliant with revised SYSCOHADA 2018. Standardised financial statements: balance sheet, income statement, TAFIRE. Validation by your auditor integrated into the setup process.

Multi-currency management

Transactions in FCFA, EUR, USD with automatic conversion. Essential for multi-donor organisations, cooperation agencies, and internationally focused ministries.

Native Power BI integration

Every accounting entry flows in real time into your dashboards. No re-entry, no Excel export, no lag. The executive sees today's reality.

Change management

Transition from Excel or legacy software (Sage, SAARI) to a modern cloud ERP. Accountant training, post-launch support, skills transfer to local teams.

Discover Business Central in detail →
04
Pillar 4

Business Intelligence

This is the visible part — the one the CEO opens every morning on their tablet. But a great dashboard is more than pretty charts. It's a solid data model, reliable DAX measures, intuitive navigation, and data that refreshes automatically.

We build Power BI dashboards your teams actually use. Not demo prototypes — daily working tools. And we deliver a complete kit so your teams can build the next ones on their own.

The dashboards we build

Finance & management control
Sales performance
Production & quality
Human resources
Supply chain & inventory
Network & remote sites
Executive management
Project & portfolio tracking
Power BI Semantic model DAX Paginated reports Data alerts Row-Level Security 34 visual types
Explore in detail

Deliverables

Power BI dashboards — Star schema model, documented DAX measures, intuitive navigation, custom theme
Autonomy kit — Interactive user guide, catalogue of 36 visuals, Power BI JSON theme, DAX documentation
User training — Onboarding session, visual creation workshops, post-delivery support

After delivery

Your CEO sees performance in real time. Your CFO consolidates in 3 minutes instead of 3 weeks. And your teams build their own reports using the autonomy kit.

05
Pillar 5

DMS & Collaboration

The best dashboard in the world is useless if the data feeding it is manually entered in an Excel file sent by email once a month. Automation is the missing link between the field and the decision.

We build Power Apps applications for field data collection — even offline — and Power Automate workflows to eliminate every repetitive manual task in your reporting process.

Common automation scenarios

Field collection
Mobile Power Apps for field agents. Offline input, automatic sync, built-in validation.
Automatic alerts
When a KPI crosses a threshold, the responsible manager gets an email or Teams message with a link to the dashboard.
Report distribution
Automatic PDF export every Monday morning, sent to the right distribution list with the right filters.
Approval workflows
Power Apps form → manager approval → Dataverse update → dashboard refresh.
Power Apps Power Automate Dataverse SharePoint Teams Offline mode

Deliverables

Power Apps applications — Mobile or tablet interface, validated forms, offline mode, Dataverse sync
Power Automate workflows — Automated collection, alerts, distribution, approval flows
Documentation & training — User guide, admin guide, onboarding sessions

After deployment

Your field agents input data from their phones. Data flows to dashboards in real time. Weekly reports send themselves. The time you used to spend "producing reports" is now time for analysing and deciding.

06
Pillar 6

Data & BI

Who can see what? Where does this number come from? How do you make sure the finance ministry's data and the planning ministry's data tell the same story? Data governance is what makes the difference between a reliable dashboard and a dangerous one.

We deploy the tools and processes that guarantee the quality, traceability and protection of your data. Not theoretical documentation — rules enforced in Fabric and Purview, verifiable and auditable.

The 5 dimensions of governance

01 Quality — Validation rules, anomaly detection, quality scores per source
02 Lineage — End-to-end traceability: where each number comes from, what transformations it went through
03 Access — Row-Level Security, workspace roles, controlled sharing, connection auditing
04 Compliance — GDPR, local regulations, sensitive data classification, retention policies
05 Catalogue — Centralised data dictionary, business glossary, automatic documentation
Microsoft Purview Row-Level Security Data Lineage Sensitivity Labels Audit Trail GDPR

Deliverables

Governance policy — Roles and responsibilities, naming conventions, validation processes, access matrix
Purview implementation — Automated cataloguing, sensitivity classification, flow lineage, business dictionary
Governance dashboard — Quality scores per source, access tracking, non-compliance alerts

Concrete scenario

An auditor asks where the 2025 budget figure comes from. Without governance: 3 days of digging through spreadsheets and emails, no definitive answer. With Purview lineage: 5 minutes, one screenshot showing the complete chain from source system to dashboard, every transformation documented.

After implementation

Every number is traceable from source to dashboard. Access is controlled and audited. You can answer in 5 minutes the question "where does this number come from?" — and prove your data is reliable to any auditor.

$4.88M
Average cost of a data breach (IBM, 2024)
vs
5 min
To trace any figure with NJIADATA governance
Our approach
Governance is not a pillar. It's the thread running through every engagement.
Quality, traceability and security — built in from day one, at every step.
Pillar 1 — Advisory
RACI Data Matrix
Roles, naming, classification defined before the first pipeline.
Pillar 2 — Cloud
Lakehouse Security + Purview
RLS from Bronze, automatic cataloging, native lineage.
Pillar 3 — BI
Report Certification
Quality scores in every dashboard, certified reports.
Pillar 4 — Apps
Automatic Audit Trail
Built-in validation, full traceability of every change.
Pillar 5 — Monitoring
AI Governance & Shadow AI
Centralized dashboard, alerts, AI charter, guardrails.
Where does your governance stand?
15 questions, 5 minutes. Get your maturity score and our recommendations.
Assess my governance maturity → or book a call →

From raw data to informed decisions

01
Understand
Advisory
02
Build
Platform
03
Decide
Dashboards
04
Automate
Power Platform
05
Protect
Governance

Each pillar works on its own. Together, they transform your organisation.

These 5 pillars adapt to your context

Every market has its constraints. Discover how we adapt our approach to your sector.

Public Institutions → International Organisations → Enterprises → International Groups →

Choose your starting point

Each package works on its own. Together, they build your data transformation.

Entry point

Data Diagnostic

Free
5 days · Zero commitment
Data maturity audit, source mapping, quick win identification, report with recommendations and target architecture.
The deliverable is yours to keep, whether you continue with us or not.
Book my diagnostic →
Recommended
First visible result

First Dashboard

From 5M FCFA / €7,500
6 weeks · 1 source · 1 dashboard
1 data source connected, 1 dimensional model, 1 operational Power BI dashboard, user training, autonomy kit delivered (guide + 36-visual catalogue + theme).
Your teams build their own reports after we leave.
Start a Quick Win →
Full transformation

Data Transformation

Custom quote
3-6 months · After diagnostic
Platform migration to Fabric, multiple dashboards per department, Power Platform automation, Purview governance, full skills transfer.
Precisely scoped after the diagnostic — no surprises.
Start with the diagnostic →

These 5 pillars adapt to your context

Every market has its constraints. Discover how we adapt our approach to your sector.

Public Institutions → International Organisations → Enterprises → International Groups →

Where to start?

We offer a free 5-day diagnostic. No commitment, no invoice — just a concrete demonstration of what your data could become.

Request a free diagnostic →