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Datasium

Data · BI · AI Consulting

Your data tells a story.We make sure it's the right one.

Datasium designs and delivers your data value chain end to end — cloud pipelines, performance dashboards, automation and AI — so your teams decide faster, on numbers they can trust.

30 min · free · no commitment

  • Engineer · MSc Data & AI, Centrale Lyon
  • Large-enterprise industrial experience
  • You own every deliverable

Expertise forged in demanding environments

  • Safran Aircraft Engines
  • Alstom
  • Stellantis
  • Akkodis
  • École Centrale de Lyon

The reality

Your data exists. It just isn't working for you yet.

Most organisations don't lack data. They lack a reliable system that turns it into decisions.

Manual, time-consuming reporting

Hours every week copy-pasting Excel exports, with a risk of error at every step.

Siloed data

ERP, CRM, spreadsheets, SaaS tools: the information exists, but nobody has a consolidated view.

Numbers that contradict each other

Every department has its own KPI. Meetings are spent reconciling figures instead of deciding.

Decisions made on gut feeling

Without real-time visibility, trade-offs come too late and rely on estimates.

AI is still theoretical

You know AI can create value, but not which profitable use case to start with.

Teams stuck on low-value tasks

Your experts spend their time producing data instead of analysing it.

Proven results

Measured outcomes, not promises.

A few results delivered on data projects led by Datasium's founder in industrial environments.

300+

CAPEX investment files steered in Power BI

−90%

data-entry errors thanks to Python automation

−40%

quality-control time across 60+ referenced parts

~12%

energy savings identified by a predictive model

Results from assignments at Safran Aircraft Engines and Akkodis. Details are in the case studies.

All case studies

The full value chain

One partner, from raw data to decision.

Datasium works on any link of your data chain — or owns all of it. No gaps between steps, no responsibility diluted across vendors.

  1. 01

    Collect & integrate

    • Data collection
    • Source integration
    • ETL / ELT
  2. 02

    Structure & secure

    • Data engineering
    • Data warehousing
    • Cloud data platform
    • Data modeling
  3. 03

    Visualise & steer

    • BI & reporting
    • Performance management
  4. 04

    Automate & predict

    • Automation
    • Artificial intelligence
    • Machine learning
  5. 05

    Enable

    • Training
    • Ongoing support

Services

Six areas of expertise, one standard: business impact.

Every engagement starts from a measurable business goal and ends with a solution your teams actually use.

01

Data Audit & Strategy

Know where to invest before you spend.

  • A clear view of your data maturity
  • Use cases prioritised by ROI
02

Data Engineering & Cloud Data Platform

Reliable foundations for every analysis.

  • A single source of truth in the cloud
  • Automated, tested and monitored pipelines
03

Business Intelligence & Performance Management

The right metrics, for the right decisions.

  • Shared, unambiguous KPIs
  • Fast dashboards people actually use
04

Automation & Agentic AI

Give your teams their time back.

  • Hours saved every week
  • Fewer human errors on critical processes
05

Machine Learning & Predictive Analytics

Anticipate instead of react.

  • Reliable, explainable forecasts
  • Early anomaly detection
06

Training & Ongoing Support

Autonomous teams, a lasting data culture.

  • Teams autonomous on their tools
  • A data-driven decision culture

The method

Four principles orbiting your data.

Just like the Datasium logo, data sits at the core. Four principles revolve around it and align on every project.

Workshops with business teams, mapping of sources and pain points, definition of measurable success metrics.

  • Business & leadership interviews
  • Source and data-quality audit
  • Success KPIs and target ROI

Case studies

Concrete projects, quantified gains.

Context, approach, architecture and results: what was built, and what it changed.

Aircraft engine in a hangar surrounded by holographic data dashboards
Aerospace/01

Steering 300+ industrial investments from a single dashboard

Power BI dashboards and automated data flows to monitor a portfolio of more than 300 CAPEX files.

investment files monitored
300+
investment files monitored
manual data-entry errors
−90%
manual data-entry errors
business teams aligned
3
business teams aligned
Read the case study
Industrial machining centre with a glowing forecast curve rising from it
Manufacturing/02

Predicting the energy consumption of an industrial machine

Predictive modelling of a production asset's consumption to uncover energy-saving levers.

potential annual savings identified
~12%
potential annual savings identified
explainable predictive model
ML
explainable predictive model
critical asset modelled
1
critical asset modelled
Read the case study
Precision mechanical parts scanned by quality-control laser lines
Engineering & R&D/03

Cutting the time spent checking engineering deliverables

Automated verification of engineering deliverables and Power BI tracking of performance KPIs.

control time
−40%
control time
referenced parts checked
60+
referenced parts checked
product lines tracked in real time
3
product lines tracked in real time
Read the case study

Technology stack

Industry standards. Nothing proprietary.

Battle-tested tools adopted by the best data teams. Your infrastructure stays reproducible, auditable and 100% yours.

  • Power BI
  • Google Cloud
  • BigQuery
  • dbt
  • Apache Airflow
  • Tableau
  • Python
  • SQL
  • scikit-learn
  • Git
  • Git
  • scikit-learn
  • SQL
  • Python
  • Tableau
  • Apache Airflow
  • dbt
  • BigQuery
  • Google Cloud
  • Power BI
Nasr Allah El Bendaoui

Nasr Allah El Bendaoui

Founder · Data & AI Consultant

The founder

An engineer's rigour, a consultant's vision.

I'm Nasr Allah El Bendaoui, founder of Datasium. An industrial engineer and graduate of the MSc in Data & AI at École Centrale de Lyon, I started by optimising industrial processes before dedicating myself entirely to data.

At Safran Aircraft Engines, I built the dashboards steering 300+ investment files and automated data flows that removed 90% of data-entry errors. At Akkodis, on assignments for Alstom and Stellantis, I learned the standards of large industrial programmes.

Datasium was born from one conviction: SMEs and mid-caps deserve the same level of data engineering as large enterprises — without the overhead.

  • MSc Data & AI — École Centrale de Lyon
  • State-certified Industrial Engineer
  • Google Data Analytics Certificate
  • IBM Python for Data Science

Engagement models

An engagement model that fits your maturity.

Start small, prove the value, then scale. The budget is agreed together, in writing, before anything starts.

Start with zero risk

Flash Assessment

A focused audit to identify where your data can create value and build the roadmap.

  • Fixed price
  • 2 to 4 weeks
  • Actionable deliverable, even if we stop there

For a precise objective

Fixed-scope project

Data platform, dashboards or automation: one scope, one price, one delivery date.

  • Outcome commitment
  • Iterative delivery
  • Knowledge transfer included

To keep your platform moving

Ongoing partnership

A part-time data expert who evolves your tools and strategy month after month.

  • Reserved monthly days
  • Priorities set with leadership
  • No long lock-in

FAQ

What leaders ask us most often.

Do you work with SMEs that have no data team?

Yes — that's the core of Datasium's mission. I handle the whole chain, then train your teams so they're autonomous day to day.

How much does a data project cost?

It depends on scope. A flash assessment is fixed-price over a few weeks; a dashboard or platform project is precisely quoted after the discovery call. The budget is always agreed in writing before starting.

How soon will we see results?

A first usable version is usually delivered within 2 to 6 weeks. The iterative approach lets you measure value from the first releases.

Does my data stay under my control?

Always. The infrastructure is deployed in your cloud accounts, you own the code and everything is documented. No proprietary lock-in.

Can you take over an existing project or dashboards?

Yes. I audit what exists, fix what needs fixing and evolve the solution rather than rebuilding everything.

Do you work on-site?

I'm based in Châlons-en-Champagne and work on-site in Reims, Épernay and the Grand Est region. Elsewhere in France and abroad, engagements run remotely with occasional travel when needed.

Let's talk about your data.

In 30 minutes we'll pinpoint where your data can create value and the most profitable first step. No commitment.

  • Assessment of your current situation
  • 2–3 concrete quick wins
  • ROI and timeline estimate

30 min · free · no commitment