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How BMW Group Democratizes Data Insight Using Amazon QuickSight
Transparency is the key to insight, and BMW Group uses Amazon QuickSight so its teams can explore data fully and securely, making decisions that create the best outcomes and deliver most value to the business. Ruben Simon, product owner Cloud Data Hub, BMW AG, talks about using Amazon QuickSight within the company’s main data platform, the Cloud Data Hub. With business intelligence, teams across BMW can continue creating premium experiences for millions of drivers.
This is why we integrate Amazon QuickSight into our data portal, the Cloud Data Hub—to get more transparency about what’s happening there and share the insights.”
Ruben Simon Product Owner Cloud Data Hub, BMW AG
AWS Services Used
Amazon QuickSight
Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale.
BMW Group è uno dei principali produttori mondiali di automobili e motocicli premium, comprendente i marchi BMW, BMW Motorrad, Mini e Rolls-Royce. BMW Group ha riprogettato e migrato i suoi data lake on-premise nel cloud utilizzando Amazon Web Services (AWS) per innovare ed espandersi al fine di soddisfare la domanda dei suoi stakeholder in tutto il mondo. Il Cloud Data Hub (CDH) aziendale elabora e combina dati anonimizzati raccolti dai sensori dei veicoli e da altre fonti all'interno dell'organizzazione rendendoli più fruibili ai team interni per la creazione di applicazioni rivolte ai clienti e ai dipendenti. BMW Group si affida ad AWS per ottenere l'agilità e la flessibilità necessarie per democratizzare l'utilizzo dei dati su larga scala e accelerare l’innovazione.
At the AWS Summit Berlin 2018, BMW Group presented a deep dive into the journey from an on-premises, monolithic application to a microservices-based platform in the cloud.
In this session, we will explore the BMW Cloud Data Hub, and how BMW and AWS have teamed up to accelerate data driven innovation enterprise-wide. We'll then switch gears to discuss the AWS Autonomous Driving Data Lake reference architecture to learn how customers manage the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems by using Amazon EMR, Amazon S3 and Amazon SageMaker Ground Truth, among others.
Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.