Skip to main content
search results
Sorry, but nothing matched your search terms. Sorry, but nothing matched your search terms. Sorry, but nothing matched your search terms.
Sorry, but we cannot handle your search query now. Please, try again later! Sorry, but we cannot handle your search query now. Please, try again later! Sorry, but we cannot handle your search query now. Please, try again later!
Search suggestions

Simplifying data analysis to enhance decision-making: how we helped automotive engineers make smarter, faster decisions.

Futuristic automotive design studio where creative professionals work on innovative car concepts with advanced virtual reality technology within a high-tech environment, simplifying data analysis to enhance decision-making.

Discover how Expleo simplified data analysis by consolidating our client’s vehicle data into a centralised and personalised cloud-based platform.

Who is the client?

Our client is one of the world’s leading automotive manufacturers.

What was the problem?

During the development phase of a new vehicle, our client’s engineers needed to analyse millions of data points to identify faults, optimise performance, and meet regulatory standards. But they were doing this manually using multiple solutions. They also needed to ensure these solutions all aligned with strict data privacy laws in their markets of operation.

What was the Expleo solution?

Our DevOps teams helped build out a self-service cloud-based data platform that unified all our client’s vehicle data in one centralised place to simplify data analysis. This included developing functionality to manage, catalogue, and visualise raw data which could reach up to 50 gigabytes per day.

Our teams also handled the data governance. This involved ensuring the platform automatically complied with privacy regulations when collecting vehicle data from customers — encompassing differing regional laws.

Three global scrum teams working in a Scaled Agile Framework (SAFe) mode provided this service as part of an Agile Release Train (ART).

How did that simplify data analysis?

The self-service cloud-based data platform has significantly simplified the data analysis process.  To develop and test the ADAS functionality working under different conditions, for example snowy weather, engineers had to manually search different systems to find very specific information.

By automatically preparing, cataloguing, and checking data quality, engineers can now quickly search and then share relevant insights. Automated notifications also let them know as soon as data is ready to review, speeding up task resolution.

What were the results of using this cloud-based platform for data analysis?

Thanks to this smart platform facilitating data analysis, engineering issues can now be identified and fixed sooner, reducing the risk of production delays.

Moreover, collaboration between teams has been improved, with a single shared interface that everyone can access from anywhere.

In addition, cost savings have been made by eliminating the previous inefficiencies of using multiple solutions.

Could it work for me?

Data analysis is hugely valuable to the automotive industry and easy access to critical insights can impact everything from safety and performance to compliance and costs. Any automotive firm looking to use data more effectively can benefit from a personalised cloud-based data platform.

With our combined expertise in automotive engineering and digital, we can help you design, develop and operate entirely new data platforms or modernise your existing ones.

Speak to an Expert

Get in touch

Please fill in the form below and we will get in touch with you shortly.

CASE STUDIES

How do we leverage data analysis in the automotive industry?

What's new

A vibrant cosmic background with a myriad of purple hues and sparkling stars, featuring the phrase "the digitalisation of everything" in white text at the center, enhanced by generative AI.
Industry 4.0Business TransformationData Science & CybersecurityEngineering and Design

Industry report: The digitalisation of everything 

view of a city
Data Science & CybersecurityBusiness TransformationEngineering and DesignIndustry 4.0

Don’t delay digital. To solve today’s challenges, industrial companies need a new set of skills. 

team of engineers working with ai
Data Science & CybersecurityBusiness TransformationEngineering and DesignIndustry 4.0

How can industrial companies solve their biggest digital challenges? By applying the best ideas from everywhere  

hands and keyboard
Data Science & CybersecurityBusiness TransformationEngineering and DesignIndustry 4.0

From pilot projects to scale: how industrial businesses can put the right technology to work.

man looking at car on a tablet
Industry 4.0Business TransformationData Science & CybersecurityEngineering and Design

Ignore what you do and listen to the data: how we used big data to start the smart factory process for a gigafactory

aircraft on airfield
Industry 4.0Business TransformationData Science & CybersecurityEngineering and Design

Keeping an eye on everything: How we created a dynamic maintenance database for an aerospace business

Now-logo-white-320x120

... you can make every great

new idea flourish.