_dataiku dss success storyInternal Design & Deployment of Advanced Analytics Solutions

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Thanks to innovative consumer solutions and a strong interestin developing its own competitive advantage, AramisAuto hassecured the position of leader of the new and second handautomotive sales industry. To stay ahead of the game,AramisAuto decided to internalize the design, development,and deployment of their own data-driven solutions andproducts.

Internal Design & Deployment of Advanced Analytics Solutions

About Our CustomerAramisAuto is a leader in France’s new and second-hand automotive sales industry. Created in 2001, AramisAuto has 350 employees, and generated a turnover of over 356M€. With 1 car sold every 5 minutes, coupled with over 15 years of experience in the industry, AramisAuto is in the unique position of enjoying sector dominance.

IndustryAutomotive

MarketEurope

Use CaseData Lab and internalization of data innovation life cycles

ChallengeDriving Real-Time Data Driven Innovation… From WithinThis interest in developing its own competitive advantage with data-driven projects culminated in a need to develop analytics projects internally using newly hired expertise such as business intelligence engineers and data scientists. Due to data sensitivity issues, outsourcing data analysis teams was not a viable option. These new team members needed to quickly get up-to-speed in terms of creating highly-scalable predictive models and applying that knowledge to a wide array of business case scenarios… including real-time deployment of data products.

SolutionData Team Collaboration on the Design, Iteration, and Deployment of Data ProductsAramisAuto addressed these challenges by adopting Dataiku’s Data Science Studio (DSS). DSS’s whitebox approach, collaborative team-centric functionality, and ease-of-use provided the company with the tools they needed to empower their data team to quickly prototype, test, iterate, and deploy innovative data-driven solutions. The ability to share projects between multiple users enabled team members to effectively work together – no matter individual level of expertise – while a whiteboxenvironment facilitated data transparency between relevant stakeholders. Finally, with DSS, they quickly deployed a real-time API.

ResultsIn-House Data Product Deployment and Team ScalabilityThe implementation and active support of DSS has enabled AamisAuto to fully leverage the capability and power of predictive analytics. Data analytics projects are now fully developed in-house. Furthermore, AramisAuto’s data experts have become highly proficient in the use of Dataiku DSS. Finally, the company has realized key real-world analysis goals including but not limited to:• Deployment of a high ROI advanced analytics project, from scratch, in

less than 3 months;• Comprehensive training of their data scientists and BI engineers;• Ability to scale their data analysis projects to a wide array of business

use cases;• Growth of their data team to a wider range of expertise levels and

training backgrounds.

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Retaining leadership is almostmore demanding than becominga leader. Thanks to Dataiku’sadvanced analytics software, we’ve internalized the wholeprocess from raw data to innovative customer facingproducts and solutions. Wetherefore manage to stay a step ahead of our competitorsin a data-dependant industry.

Christophe VassalloCTO – AramisAuto

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On-boarding & effective training of Data Scientists

and BI Engineers

Internalized &

collaborative design

Real-time advanced analytics project deployed

in under 3 months

Technology

Time

Team

Models

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Team-baseduser interface

Deployment of a real-time API

Customizedmodels in Python

Visual interface for beginner analysts

Gradient Boosting TreeLogistic Regression

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