Data Science with the SQORUS DataLAB
Our SQORUS DataLab, your incubator for Data Science use cases.
SQORUS support
Your data science challenges
In a world where the amount of data continues to grow, simply processing and analyzing it is no longer enough. Prediction and prescription via various Machine Learning models, whether for operational or strategic purposes, has become a logical extension of the data cycle.
You would like to :
- Support in identifying data science use cases
- Develop data science skills (technical and functional)
- Industrialize and concretize for a sure return on investment
- Anticipate the evolution of your business
Our SQORUS DataLab is an incubator dedicated to shaping tailor-made solutions for our customers: from identification to industrialization and integration, guaranteeing successful adoption at every stage of the process.
Tailor-made solutions
Our Data Science offer with our DataLAB
The Data Science offering of our SQORUS DataLAB can be broken down into 2 main areas:
Innovating your data science
Would you like to know what can be achieved with your data? Do you have research needs in the field of data science? Our DataLAB is the ideal place to innovate, test new ideas and discover the hidden potential of your data.
Turning your data science roadmap into reality
Do you have specific needs or problems that data science can help you solve? With the SQORUS DataLAB, we can help you turn your data science roadmap into reality, from conceptualization to practical implementation.
Our approach is to support you every step of the way. We adapt to your infrastructure solutions and constraints.
The project will be directly implemented in your infrastructure if you already have the necessary resources. If not, our DataLAB offers you the use of its own secure infrastructure to exploit your data science use cases.
SQORUS methodology
Our Data Science methodology
Requirement definition & data extraction
- Defining needs and extracting data
- Iterative workshops to define needs and propose the resulting application cases
- Verification of data sources
Structuring the data model
Assumptions
- Choice of variable to be explained and explanatory variables
- Definition of the relevant data set
Exploratory analysis
- Data inventory
- Data cleansing
Modeling
- Defining models
- Multiple drives for each model
Evaluation
- Defining performance measures according to our case study
- Model performance measurement
- Selecting the model with the best performance
Industrialization and deliverables
- Definition of industrialization scenarios and implementation of the preferred choice
- Setting up a dashboard
- Operational documentation and technical specifications
Our talents
Testimonials
Xavier ALBANET
Senior BI Consultant
The term “AI” can also be read as “assisted intelligence”, in which case the emphasis is on transparent support for users. So it’s no longer the complexity and replacement character of the original meaning (Artificial Intelligence) that shines through.
The SQORUS choice
SQORUS expertise in Data Science
Solid expertise
With a wide range of model architectures to suit your needs and expectations, our experts will guide you every step of the way, from defining your requirements to industrializing and interpreting the results.
Agile & flexible team
Our teams are trained to adapt to rapid change and deliver results efficiently. Our agile approach focuses on rapid value delivery.
Concrete results
Our results-driven approach ensures that every project we undertake meets your needs, delivers the operational performance you demand, and supports your decision-making.
Contact our DataLAB SQORUS for your data science needs
Are you looking to anticipate market trends by identifying and implementing tomorrow’s use cases? We support you from idea to realization. Let’s turn your data into opportunities!
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Tailor-made solutions