Customer Stories / Advertising & Marketing Technology
2020
Nielsen Builds Cloud-Native Data Reporting Platform on AWS
Scott Brown
General Manager of TV & Audio, Nielson
AWS Services Used
Amazon S3
Object storage built to retrieve any amount of data from anywhere
Amazon Redshift
Fastest, easiest, and most widely used cloud data warehouse
AWS Lambda
Run code without thinking about servers or clusters
Learn more »
Amazon EMR
Easily run and scale Apache Spark, Hive, Presto, and other big data workloads
Learn more »
Discover how data drives transformation
More Advertising and Marketing Technology Customer Stories
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Swimming Australia Uses Data and Machine…
Swimming Australia, the national governing body for competitive swimming, is at the heart of a sport that is part of Australia’s DNA. With over 100,000 registered members across 1,100 clubs nationwide, the organization has built a legacy of creating world champions and driving Australia's Olympic success—amassing 239 medals, including 78 golds. Today, it remains committed to pushing the boundaries of athletic performance. -
India
Dream11 on AWS
Dream11 is the world’s largest fantasy sports platform with more than 220 million users playing fantasy sports ranging from cricket and football to kabaddi and basketball. The flagship brand of Dream Sports, India’s leading sports technology company, it has partnerships with several national and international sports bodies and cricketers. Using Amazon Web Services (AWS), Dream11 has supported its expansion, developing new features and services fast and protecting users from disruption. Its Scaler tool combined with AWS technologies help it scale dynamically and cost-effectively to handle millions of requests a minute and hundreds of sporting events a day.
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India
Arré Voice Enhances User Engagement and…
Arré Voice wanted to enhance user engagement on its digital media platform with personalized content recommendations. The company needed a scalable solution capable of processing large volumes of user data while supporting artificial intelligence (AI)-driven algorithms for content personalization. By transitioning to a microservices architecture, using Amazon Web Services (AWS), and implementing Astra DB, a vector database from AWS Partner DataStax, Arré Voice enabled real-time data handling and improved operational efficiency. Astra DB’s query capabilities and developer tools facilitated the rapid development of its recommendation engine, which now generates over 30 million personalized suggestions per month with a 90-percent reduction in latency.
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