We design & build data solutions for
We help operational and digital teams in their data transformation
IRIS is a team of operations experts, data scientists and data engineers within Argon & Co that specialize in data analytics for operations.
We use Data Science , AI, IoT and digital technologies to design and build clear solutions that provides a new level of efficiency and profitability for our clients. We approach every challenge with humility, determination and fairness.
Our team applies a combination of operations experience, data expertise and broad business knowledge to improve operational performance. We deliver robust, transparent and practical data-driven insights and solutions to generate real change.
We are based in Paris, and work collaboratively with the Argon & Co global offices.
We have built trust with operations and data teams
The people of Argon and Iris are highly professional and an absolute pleasure to work with.
Iris adds what many other consultancy companies miss: the ability to actually build, implement and maintain data solutions
They built our first machine learning forecasting models, which are currently powering the heart of our forecast engine.
They also helped us with pragmatic and useful advice on how to maintain and monitor our models, especially during the COVID crisis
Why IRIS by Argon & Co
A dedicated team of machine learning, deep learning, artificial intelligence and operational research experts
Provide expertise in data architecture and operations-related datasets
Build custom models using data and digital expertise
Provide recognized expertise in supply chain, manufacturing, procurement, finance and shared services
Work on process changes to implement technological innovation
Design bespoke solutions to best fit our clients specific challenges
Have tangible projects in production supporting real life processes
Focus on high impact use cases
Monitor project impact over time
Care about making a real difference for clients
Translate complex concepts into simple business language
Make recommendations based on facts and data
Use “Explainable AI” to explain how predictive models work
Avoid black box solutions