Build your end-to-end data platform
Why ?
Your company is hindered by significant technical debt, limiting its ability to adapt and meet the evolving needs of your customers.
Simultaneously, performance is impacted: there are lengthy delays in loading dashboards, increasing IT operating costs, and a loss of user adoption that can ultimately lead to the complete abandonment of your data platform.
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Challenges
Improving the technical performance of your database reduces response times, making your business more agile. Users can quickly access the data they need to make informed decisions.
Utilizing state-of-the-art technologies also enables you to process your data more efficiently, quickly identify trends, and detect and correct anomalies.
Lastly, a high-performing data platform can significantly reduce data storage and processing costs by up to 50%.
Improving the technical performance of your database reduces response times, making your business more agile. Users can quickly access the data they need to make informed decisions.
Utilizing state-of-the-art technologies also enables you to process your data more efficiently, quickly identify trends, and detect and correct anomalies.
Lastly, a high-performing data platform can significantly reduce data storage and processing costs by up to 50%.
The expert
Vincent
Lead Data Engineer
With its expertise in Data Engineering and strategic partnerships with Snowflake, Databricks, and Google Cloud, we are committed to guiding you through the customized modernization of your data platform, ensuring the quality, performance, and scalability of your business.
Our customizable products :
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Technical Challenge
During the technical challenge, we identify business challenges and potential solutions for designing your data strategy. We then conduct an analysis of your existing infrastructure to assess technical feasibility.
ETL Development
During the creation of your ETL, we are committed to building an efficient system for extracting, transforming, and storing data. Our objective is to :
Streamline, synchronize, and format data flows
Aggregate and migrate data from multiple systems
Automate manual data collection
Lay the foundations for Data Science and visualization projects
Data product discovery
La phase de data product discovery sert à lever les risques de valeur, viabilité business, d’usage et de faisabilité technique sur un produit data de la manière la moins coûteuse possible.
Cette approche est basée sur une expérience du terrain pour s’affranchir des biais du client et sur un focus sur la stratégie data du produit grâce à :
Une équipe pluri-disciplinaire pour adresser l'ensemble des risques.
Une approche itérative pour apporter de la valeur dès la 1ère release.
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48 Bd des Batignolles, 75017 Paris