Data Audit & BI
Starting at
1 900 € ex-VAT
2 to 3 weeks
- Data quality audit, cleansing & structuring
- 1 to 3 connected sources (CRM, ERP, e-commerce)
- Interactive real-time KPI dashboard
Data Analytics, Data Engineering & Business Intelligence (BI & AI)
Data analysis, multi-source ETL integration, warehouses and predictive ML models to steer your business.
Turn scattered spreadsheets and software silos into reliable, profitable decisions
Sales, financial, inventory and customer data often sit trapped in disconnected silos: CRM, invoicing software, e-commerce store, ERP and dozens of Excel spreadsheets reworked manually every week. We design and build the end-to-end data architecture that collects, cleans, unifies and unlocks your figures with zero manual copy-pasting.
From multi-source integration (automated ETL / API pipelines) and structured Data Warehouses (SQL or GDPR-compliant European cloud) to real-time executive BI dashboards and pragmatic Data Science models (sales & inventory forecasting, churn detection, lead scoring), we deliver clear tools your teams can act on immediately.
Who is this service for?
- SMB executives, CFOs and sales directors wanting to track margin, cash flow and customer acquisition on a single live dashboard
- E-commerce, retail, wholesale, logistics or manufacturing firms automating data reconciliation across stock, orders, ERP, CRM and carriers
- Organizations with historical data looking to forecast demand, optimize pricing or score commercial opportunities automatically
What is included
Automated ETL & API pipelines
Reliable connectors to your SQL databases, business APIs, CRM, ERP, accounting tools and flat files with deduplication and quality checks.
Centralized Data Warehouse
Clean, fast, documented data modeling hosted in strict compliance with GDPR and business confidentiality.
Live BI dashboards & automated reporting
Real-time role-based KPIs (executive, sales, operations), anomaly alerts and scheduled reports ready to share.
Applied Data Science & Machine Learning
Pragmatic predictive models (revenue or stockout forecasting, RFM customer segmentation, churn risk scoring) exposed via API.
How your project unfolds
Source audit & KPI scoping
Mapping your existing software stack, auditing data quality and defining the exact metrics or predictions that drive margin.
Pipeline engineering & central warehouse
Building automated ETL flows, data normalization rules and your secure, unified data foundation.
BI rollout, predictive models & training
Launching your live dashboards or predictive APIs, cross-checking figures with your team and delivering full training.
Pricing: Data Science & Data Engineering
Starting prices ex-VAT and indicative timelines. Your written quote sets the exact price for your scope, with no obligation.
Data Eng. & ETL
Starting at
4 500 € ex-VAT
4 to 6 weeks
- Automated multi-source ETL pipelines
- Centralized SQL / EU Cloud Data Warehouse
- GDPR governance, quality checks & alerts
Data Science & AI
Starting at
8 900 € ex-VAT
6 to 10 weeks
- Custom predictive ML models (sales, stock, churn)
- Production API connected to your business tools
- Full documentation & team training
Frequently asked questions
Our data is spread across several tools and Excel spreadsheets — is that a problem?
Not at all — solving that is the exact purpose of data engineering. We connect your existing tools (APIs, scheduled exports, SQL databases, structured spreadsheets) to automate cleaning and build a single source of truth.
What is the difference between Business Intelligence (BI), Data Engineering and Data Science?
Data Engineering (ETL) collects, cleans and centralizes your raw data. Business Intelligence (BI) shows what is happening right now through clear dashboards. Data Science uses statistics and Machine Learning to forecast what will happen next (demand, stockouts, churn) and recommend actions.
Where is our data hosted and does it stay confidential?
Your data stays hosted on your own infrastructure or on a GDPR-compliant European cloud, with encrypted connections, strict role-based access and 100% ownership of your databases, pipelines and models.
Do we need massive Big Data volumes to get started?
Not for BI or ETL automation: even with a few hundred clients, orders or job sites, automating your reporting saves days of manual spreadsheet consolidation every month. For predictive Machine Learning models, we verify during the initial audit that your historical depth supports reliable forecasts.
Ready to start your project?
Describe your needs in a few lines. Receive an initial assessment and a detailed written quote, with no obligation.