Automotive, Financial Services, Large Distribution, Fashion, Transport and Energy

Businesses are facing a growing number of challenges in managing data within their computing environments. These environments are becoming more complex with the rise of multi-cloud, variety of sources and types of data, as well as the emergence of regulations such as the RGPD.

At Talend Connect Paris , which will take place on Thursday, October 18, 2018, our customers will share their innovative approaches to address these challenges in the areas of cloud and big data. Through their testimonials on the use of Talend solutions, they will detail their approaches, ideas and best practices that will help you identify hitherto unknown opportunities, find new business opportunities and become innovators in your industry.

Here are some examples of customer cases that will be developed during Talend Connect.

Machine learning and AI at the service of digital transformation at BMW Group

BMW is an international car and motorcycle manufacturer with more than 130,000 employees worldwide and a history spanning more than 100 years. BMW has sold more than 2 million cars in 2017.

BMW’s IT team numbers more than 4,000 people and manages 450 projects worldwide. BMW has begun its digital transformation and allows its business departments to benefit from machine learning and artificial intelligence.

Whether for the detection of complex events on the connected car or to improve the customer experience, the BMW group uses the latest real-time technologies of the Internet of Things to set up a data lake on a global scale to offer new and innovative products and services.

hand gives car keys to another hand. buy, rental or lease a car. Exhibition Pavilion, showroom or dealership with yellow car, vector illustration in flat style.

With Talend Real-time Big Data , BMW has reduced the time it takes to implement data pipelines, increase the quality of data in the data lake, and accelerate the time to market for their Big Data applications.

Euronext unleashes its analytical potential thanks to the governed cloud

Euronext , the largest pan-European exchange in the eurozone, processes 1.5 billion new messages a day, for 2 million daily transactions.

The day the Brexit was voted, the volume of transactions and the need for analysis were so high that the actual processing time exceeded the window of time allocated to batch processing. This was the key moment for Euronext to engage a cloud first strategy for its compliance and post-market analysis platform.

Today, Euronext has built a data lake on AWS that allows it to manage 10 times more data at the same cost through the use of serverless and to be in compliance with regulations (RGPD, MIFID II) through Talend Data Catalog and Talend MDM .

In addition, with this new environment, Euronext’s teams can deliver new data science platforms in just a few days compared to an average of 45 days in the past, and are able to perform real-time analytics through streaming of data. The platform also allows the monetization of data through a marketplace, which already accounts for 20% of their income.

Air France-KLM reconciles customer customization and RGPD

The Air France-KLM group is not only an air transport leader with 99 million passengers in 2017, it is also a company that has been innovating for nearly a century in the field of customer relations and loyalty. .

It is through this multi-channel relationship with customers always connected through the web, mobile, social networks or customer service that Air France-KLM has brought the compliance with the new European regulation, the RGPD. Air France-KLM sets the rules for privacy through customer interactions, from online booking to claims, from social networks to mobile applications, and from the loyalty program to to found objects management …

Thanks to Talend Data Catalog , Air France-KLM can track all the data relating to privacy on all its information systems. In addition, Talend Data Quality makes it possible to reconcile customer data across multiple channels, but also anonymize data with data masking.

Cloud Integration in a Retail Omnichannel context at Petit Bateau

Petit Bateau is a French brand of clothing and underwear for children founded in 1920. Present in Europe, Japan, China, the Middle East, Russia and the United States, its products are sold in nearly 400 shops Petit Bateau, 4,300 partner stores, as well as its e-commerce site launched in 2006.

Faced with strong competition in the retail business, the brand had to reinvent itself, from customer experience to order experience.

As part of the “Symbiose” project, Petit Bateau will unveil the details of the project and explain how the company integrates existing systems, Salesforce Commerce Cloud and Talend Cloud to differentiate between online commerce and its stores.

Auchan Retail modernizes and globalises its IT and data exchange based on the Cloud

Auchan Retail is a committed trader for 55 years, a trader who is changing in a changing world, and who is now meeting consumers who have become omnichannels, attentive to their purchases and their health, with the ambition and want to change their lives.

To manage its transformation, Auchan Retail had to align the existing information systems with the Group’s overall strategy.

By making Talend the backbone of its Exchange platform (ETL, ESB, API Management) in more than 14 countries, Auchan Retail is taking advantage of the cloud to gain agility and offer its subsidiaries data exchange solutions. SaaS mode.

Building a digital platform for data economics at Uniper

Uniper is an international energy company with approximately 12,000 employees in more than 40 countries. Uniper produces, trades and markets energy on a large scale. The company also buys, stores, transports and supplies commodities such as natural gas, liquefied natural gas, coal, and other energy related products.

Using Talend , Uniper has built a digital platform for more than 17 operational entities, based on a governed data lake and a data catalog running on Microsoft Azure and Snowflake, to evolve their analytics and monetize data.

Uniper has been able to reduce the cost of data integration by 80%, increase data access speed by 75%, and gain synergies and efficiency.

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