Mews Data Factory - Mews Partners

Xavier Brucker

Partner (Paris) | Polytechnique MIT

Olivier Feingold

Managing Partner Innovation | ENSEM

Markus Ripping

Partner (Hamburg) | Technische Universität Berlin

“Leveraging Mews Partners’ industry and data expertise to support business process improvement

Xavier Brucker

Polytechnique MIT

A graduate of Ecole Polytechnique (X 1996), Telecom ParisTech (2001) and the Massachusetts Institute of Technology (MIT 2002), Xavier combines several international experiences with industry companies and start-ups. After a career in strategy consulting, he led a major defense program at Safran and then became director of the e-commerce and payments division of EquensWorldline. Xavier then spent several years in California, in the heart of start-up companies in Los Angeles and Silicon Valley. Upon his return to France, Xavier joined a Fintech start-up, which he supported in its growth. Today, within Mews Partners, he develops offers related to data science and artificial intelligence, which have become a real strategic challenge for industry and services. Furthermore, he writes on the topic of the scaling up of AI and smart factory in the blog of the experts from l’Usine Nouvelle.

Olivier Feingold


Olivier first held operational positions in industry (energy, electrical equipment) as an industrialization engineer, quality manager, PLM project manager, product development project manager. He joined Mews Partners in 2002. He provides numerous expert assignments relating to the performance of development processes, the implementation of Data Driven organization and information systems management, in the energy, aeronautics, shipbuilding, automotive, electronics and equipment sectors. He manages Mews Innovation.

Markus Ripping

Technische Universität Berlin

Markus has a Master of Science in Aeronautics, Astronautics & Transportation Technologies from Technische Universität Berlin.

He spent 13 years in Consulting at Prostep and Accenture working in cross-domain PLM, (Engineering) Process Optimization and Business Process Outsourcing, DMU & VR/AR. Markus focusses on international & multi-site collaboration, extended enterprise and M&A/PMI and their impact on Engineering and IT. His primary Industry know-how lies in Aerospace, Shipbuilding & Life Sciences. In the two and a half years before joining Mews Markus worked at Sartorius Stedim Biotech, a manufacturer of bio-pharmaceutical supplies and lab instruments, as Global PLM Process Owner and Manager “Idea to Product”.

He is currently an Associate Partner for Mews in Germany leading our Hamburg office.

The Mews Data Factory is a pragmatic and modular approach that leverages the industrial and Data expertise of Mews Partners for data analysis and interpretation. Our broad knowledge of the various trades and sectors, from R&D to Supply Chain, and our expertise in Lean Management allow us to reinforce the framing of the analysis as of the launching of the project. Mews Partners also benefits from a strong competence in data analysis which allows us to accompany any type of project involving a large volume of data and tools.


of our consultants trained in data analytics tools


specialists who are members of our Data Club core team

Why the " Mews Data Factory " ?

The Mews Data Factory allows to answer all challenges related to the interpretation of data within a company. Several levels of analysis are possible and compatible between them: diagnose the quality of the data and define right actions, build dashboards to help decision making based on modeled processes, interpret the data and go “beyond by using business knowledge, classification models and predictive models. 


The particular strengths of the Mews Partners methodology

To accompany you in the analysis of the data, our key differentiators are : 

  • A ” hands-on ” culture: a collaborative approach with the client operational teams 
  • An Agile methodology with concrete results obtained quickly after each iteration and the possibility to recalibrate the elements quickly 
  • A pragmatic and modular approach that adapts to all types of data, tools and context 
  • Industry and business expertise to help interpret and go “beyond” the data 

3 axes to facilitate business decisions thanks to data

Based on our customer experience, we have defined a three-pronged offer to address all types of business issues:


Data quality diagnosis

Analyze the quality of IS data in order to identify corrective actions to be taken. Consolidate and compare several data sources to create a data set adapted to business needs. 


Consolidation of dashboards

Create efficient data visualizations to support management decision-making or to assist operational staff in their daily work. 


Interpretation of business data

Go “beyond” the data by providing business and data knowledge: segment approach or apply predictive models to derive business value, build a rapid prototype to model and automate the conclusions of the analysis, help the business to make the link between the results of the data analysis and their conclusions / consequences.

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