Data Sciences
made accessible.
Data science as the engine of strategic direction — from data vision to AI solutions running in production.
Meck'IT is an independent Applied Data Sciences consultancy based in Schwerin, Germany. We support companies across Germany, France and the EU from data strategy through to AI and machine-learning solutions running in production — fully independent, with no ties to any particular vendor.
Data science as the engine of strategic direction
Which customer segments should we target?
How effective is my communication?
Where are my bottlenecks?
What return on investment can we expect?
How do I set my R&D priorities?
How can I predict failures?
What drives my staff turnover?
Which distribution strategies should we pursue?
Simple and pragmatic
Explore. Observe. Model. Act.
Explore
Map the available data and the use cases with the greatest leverage.
Observe
Understand the signals, the usage and the business context.
Model
Build reliable, interpretable and robust models.
Act
Deploy, industrialise and spread best practices.
Two ways to work together
Consulting
Advice on the questions that matter — in full independence.
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Implementation
Adopting new tools — from prototype to scale.
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Technical expertise
- Modelling (patterns, anomalies, forecasts)
- Use cases: marketing, operations, optimisation
- End-to-end prototyping (pipeline, model, dashboard)
Industrialisation & integration
- Architecture and solution selection
- Integration and scaling
- Coordination across business, IT and data teams
Direct engagements or through a network of expert consultants.
References and feedback
Assessment engagement followed by support in rolling out a cross-functional BI platform (“Modern Data Stack”)
It was a pleasure working with Guillaume Chevaleyre for the past two months. He provided valuable insights that helped us optimize our data architecture, further expand our AI strategy, and strengthen our long-term capabilities. Guillaume has very strong technical skills and efficiently leveraged his deep domain knowledge to deliver lasting value to our team. I highly recommend his services.
- Inventory of existing practices (business reporting)
- Assessment of the technical roadmap (MDS project)
- Recommendations and co-design of the target architecture
- Rollout of the analytics-engineering workflow
- Training data-science teams and cross-discipline workshops
Sparring partnership on data management: from infrastructure to governance
We've been working regularly with Guillaume for over 10 years on data management topics. His deep expertise combined with strong operational insight enables him to tackle challenges with both relevance and efficiency. From understanding the strategic stakes to delivering operational solutions, he consistently provides tailored responses adapted to each context. His attentive listening skills make him a highly appreciated partner for clients. We're always glad to collaborate with him and wholeheartedly recommend his services.
- Benchmark of modern architectures
- Solution benchmark (granular features and coverage)
- Co-development of audit matrices
- Review of data-governance best practices
Technical expertise as part of due diligence
As an entrepreneur and investor, quickly identifying the start-ups and technologies that will succeed tomorrow is decisive.
- Rapid assessment and benchmarking of technical assets
- Qualification of potential opportunities
Experience meets premium quality
A first-class statistics education at leading European universities — Oxford University, École Normale Supérieure (Ulm), Paris School of Economics.
Experience gathered on the ground — across the diversity of contexts (data teams, business units, IT, the boardroom), tools and challenges.
Frequently asked questions
What does Meck'IT do?
Meck'IT advises and supports companies on using data science and artificial intelligence — from assessing data maturity through the roadmap to running models in production.
Who is it for?
Companies of any size in Germany, France and the EU who want to make data-driven decisions or industrialise AI solutions — directly or through a network of expert consultants.
How does an engagement work?
After a first conversation, the method follows four steps: explore, observe, model, act — from mapping use cases to industrialisation.
Let's talk about your data
A first conversation to frame your challenges and identify the use cases with the greatest leverage.
Book a meeting