• Yzr : SaaS data normalization tool with built in taxonomies

    automated data normalization

  • yzr is a SaaS company

    we automate data quality improvement

  • there are 9 reasons why you need yzr:


    #1 you struggle with your data quality


    #2 you cannot interoperate your data sources


    #3 your data is too diverse


    #4 it takes ages to implement a reliable data governance


    #5 you are not on the top 10 priority of the IT roadmap


    #6 you dream of a data lake that works


    #7 you dream to deploy and scale some wonderful AI POCS


    #8 your data scientists are tired


    #9 you have no unique product catalog



  • data normalisation

    the first steps of your data quality journey

    you create taxonomies

    A taxonomy is a shared glossary of your data. A common language between all the data sources of your oganisation.

    You apply taxonomies to your data

    Once your organisation is aligned on taxonomies, you transform all your data against these taxonomies, automatically.

  • why is it so hard to normalize data without yzr?

    because there are no common taxonomies within your organisation

    because it’s a huge task and no one wants to undertake

    because there are new types of data everyday and it's a nightmare to maintain

    because the volume of data to be processed is getting bigger every day and the task is recurrent

  • what is a taxonomy?

    a taxonomy is a common reference and format to name the data of your organisation. taxonomies are the internal language of your data. Taxonomies are hard to define and implement because it takes ages to align your organisation on a common language

  • this is what we do!

    we automate data quality and enable interoperability

    we define taxonomies, starting from your data

    we use a methodology mixing NLP and AI to define the existing categories within your various data sets

    we normalize your data

    we apply these taxonomies automatically to your existing and future data

  • yzr is founded by experts in data science and data governance

    Management team

    Sébastien Garcin  Co-Founder & President of yzr

    Sébastien Garcin

    Corporate Chef

    (ENSCI - Les Ateliers)

    Sébastien is a recognized visionar in data and marketing. He is former Chief Marketing and Data Officer of a world leading FMCG.

    'When was your last data driven decision? Stop believing, start measuring!'

    Jean-Philippe Poisson Co-Founder & CEO of yzr

    Jean-Philippe Poisson

    Business Wizard

    (Sciences Po Aix, Kedge BS, Executive MBA HEC Paris)

    Jean-Philippe is a serial entrepreneur. He co-founded one of the leading digital transformation consulting firms in France.

    'Digital transformation was a ripple compared to the data revolution tsunami!'

    Marc Aurèle Foucart Co-Founder & Deputy General Manager of yzr

    Marc Aurèle Foucart

    Data Jedi

    (American University of Paris, Ecole de Management Léonard de Vinci , IAE of Paris)

    Starting his career at Google, Marc Aurèle is a performance data expert. For the past 15 years, he has been accompanying top tier international groups to implement data driven business decision making.

    “In God we trust. All others must bring data.” – W. Edwards Deming

    Arjun Chatterjee Head Of Technology

    Arjun Chatterjee

    Code Commander

    (EISTI, University of Cergy-Pontoise, International school of Paris)

    Arjun is a Full Stack Data Scientist and Engineer. Having led the data science teams at data driven companies like Make.org and Dunnhumby, he is obsessed with Innovation and AI. Taming the data beast is his passion.

    “It is a capital mistake to theorize before one has data.” Sherlock Holmes.

  • we are hiring!

    join us to drive corporates into the data era

    python developers


    You are positive and caring. You like to share and you love to learn. You are not afraid by chaos however you seek for order. Having fun while working is a priority for you. You are he, she or whatever.

    You have a very strong background in machine learning, programming and statistics - including exposure to data integration/fusion, conjoint and working with digital data.

    customer success managers


    You are positive and caring. You like to share and you love to learn. You are not afraid by chaos however you seek for order. Having fun while working is a priority for you. You are he, she or whatever.

    You've focused on educating customers on the abilities of SaaS solutions that will best meet their specific business needs and plans. You've managed relationships with enterprise customers throughout the sales lifecycle to ensure their ROI and overall satisfaction is met.


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