Dataiku Case Studies Internal Design & Deployment of Advanced Analytics Solutions at AramisAuto

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	Internal Design & Deployment of Advanced Analytics Solutions at AramisAuto Dataiku

Internal Design & Deployment of Advanced Analytics Solutions at AramisAuto

Dataiku

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics
Applicable Industries	Automotive Education
Applicable Functions	Product Research & Development Sales & Marketing
Use Cases	Real-Time Location System (RTLS) Virtual Training
Services	System Integration Training
Challenge	AramisAuto, a leader in France’s new and second-hand automotive sales industry, was keen on developing its own competitive advantage with data-driven projects. The company decided to internalize the design, development, and deployment of their own data-driven solutions and products. This decision was driven by the 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. Read More
About Customer	AramisAuto is a leader in France’s new and second-hand automotive sales industry. The company was created in 2001 and has 350 employees. It 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. The company has a strong interest in developing its own competitive advantage and has secured the position of leader of the automotive sales industry by innovating consumer solutions. Read More
Solution	AramisAuto addressed these challenges by adopting Dataiku’s Data Science Studio (DSS). DSS’s whitebox approach, collaborative teamcentric 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 whitebox environment facilitated data transparency between relevant stakeholders. Finally, with DSS, they quickly deployed a real-time API. The implementation and active support of DSS has enabled AamisAuto to fully leverage the capability and power of predictive analytics. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Applicable Industries

Automotive

Education

Applicable Functions

Product Research & Development

Sales & Marketing

Use Cases

Real-Time Location System (RTLS)

Virtual Training

Services

System Integration

Training

Challenge

AramisAuto, a leader in France’s new and second-hand automotive sales industry, was keen on developing its own competitive advantage with data-driven projects. The company decided to internalize the design, development, and deployment of their own data-driven solutions and products. This decision was driven by the 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.

About Customer

AramisAuto is a leader in France’s new and second-hand automotive sales industry. The company was created in 2001 and has 350 employees. It 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. The company has a strong interest in developing its own competitive advantage and has secured the position of leader of the automotive sales industry by innovating consumer solutions.

Solution

AramisAuto addressed these challenges by adopting Dataiku’s Data Science Studio (DSS). DSS’s whitebox approach, collaborative teamcentric 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 whitebox environment facilitated data transparency between relevant stakeholders. Finally, with DSS, they quickly deployed a real-time API. The implementation and active support of DSS has enabled AamisAuto to fully leverage the capability and power of predictive analytics.

Impact #1	The adoption of Dataiku’s Data Science Studio (DSS) has enabled AramisAuto to fully leverage the capability and power of predictive analytics. Data analytics projects are now fully developed in-house. AramisAuto’s data experts have become highly proficient in the use of Dataiku DSS. The company has realized key real-world analysis goals including the deployment of a high ROI advanced analytics project, from scratch, in less than 3 months. The comprehensive training of their data scientists and BI engineers has also been achieved. The company has been able to scale their data analysis projects to a wide array of business use cases and has seen the growth of their data team to a wider range of expertise levels and training backgrounds.

Impact #1

The adoption of Dataiku’s Data Science Studio (DSS) has enabled AramisAuto to fully leverage the capability and power of predictive analytics. Data analytics projects are now fully developed in-house. AramisAuto’s data experts have become highly proficient in the use of Dataiku DSS. The company has realized key real-world analysis goals including the deployment of a high ROI advanced analytics project, from scratch, in less than 3 months. The comprehensive training of their data scientists and BI engineers has also been achieved. The company has been able to scale their data analysis projects to a wide array of business use cases and has seen the growth of their data team to a wider range of expertise levels and training backgrounds.

Benefit #1	Deployment of a high ROI advanced analytics project, from scratch, in less than 3 months
Benefit #2	Comprehensive training of their data scientists and BI engineers
Benefit #3	Ability to scale their data analysis projects to a wide array of business use cases

Benefit #1

Deployment of a high ROI advanced analytics project, from scratch, in less than 3 months

Benefit #2

Comprehensive training of their data scientists and BI engineers

Benefit #3

Ability to scale their data analysis projects to a wide array of business use cases

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Overview

Internal Design & Deployment of Advanced Analytics Solutions at AramisAuto

Operational Impact

Quantitative Benefit