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К сожалению, данный материал на выбранном языке не доступен. Мы постоянно работаем над расширением контента, предоставляемого пользователю на выбранном языке. Благодарим вас за терпение!
Customers leverage AWS Analytics as the fastest way to get answers from all of their data to all their users. The breadth and depth of analytics services on AWS makes it easy to spin up the right resources to run whatever analysis is most appropriate for a specific need. Deep integration between all the layers of the AWS analytics stack gives builders the tools to quickly analyze data using any approach.
Videos
Equinox drives personalized customer experiences with an AWS data lake architecture. (1:58)
Nielsen built an innovative cloud-native data reporting platform on AWS. (2:07)
OLX leverages Amazon Redshift's performance and innovation for best in class customer experiences. (2:07)
WB Games: The Art of Data-Driven Storytelling (4:05)
With nearly 100 years in entertainment, Warner Bros. believes in the power of great stories. DC, Game of Thrones, and Mortal Kombat are just a few of the globally recognizable franchises that WB has adapted across every platform from movies to video games. WB Games uses data to help inform the creative process of developing games. Using AWS services like Amazon Redshift, WB Games is able to capture, ingest, analyze, and action insights to help developers become more opportunistic and agile with their approach to storytelling.
Nasdaq migrated its growing data warehouse to a more modern data lake architecture. (2:25)
INVISTA Innovates Production Processes with AWS Data Lakes (2:18)
INVISTA, a global chemical and fiber manufacturing company, built its data lake environment on AWS to pull all of its data from its global plant sites into one central location. Using AWS Lake Formation to automate its data lake creation as well as Amazon S3 for the data lake environment, INVISTA can quickly gather information, add context, and get insights that allow the company to innovate. INVISTA uses AWS Glue to catalog its data, as well as Amazon Redshift for its data warehouse environment.
"Because of the performance and scale Redshift provides, we have increased our manufacturing efficiency and reduced the time needed to gather and prepare data for regulatory submissions by a factor of five."
- Jim Silva Director Business Partner at Pfizer Inc.
"Without AWS Lake Formation, it would have been impossible to achieve the goal of a scalable, easy to use security layer for all data on Amazon S3. It was easy to set up and apply fine-grained access controls based on user personas."
- Joe Sueper, VP Enterprise Architecture, Global Technology at Nu Skin Enterprises
"Amazon Kinesis Data Streams processes multiple terabytes of log data each day, yet events show up in our analytics in seconds. We can discover and respond to issues in real time, ensuring high availability and a great customer experience.”
-John Bennett, Senior Software Engineer at Netflix
"Because of the performance and scale Redshift provides, we have increased our manufacturing efficiency and reduced the time needed to gather and prepare data for regulatory submissions by a factor of five."
- Jim Silva Director Business Partner at Pfizer Inc.
"Without AWS Lake Formation, it would have been impossible to achieve the goal of a scalable, easy to use security layer for all data on Amazon S3. It was easy to set up and apply fine-grained access controls based on user personas."
- Joe Sueper, VP Enterprise Architecture, Global Technology at Nu Skin Enterprises
"Amazon Kinesis Data Streams processes multiple terabytes of log data each day, yet events show up in our analytics in seconds. We can discover and respond to issues in real time, ensuring high availability and a great customer experience.”
-John Bennett, Senior Software Engineer at Netflix
"Because of the performance and scale Redshift provides, we have increased our manufacturing efficiency and reduced the time needed to gather and prepare data for regulatory submissions by a factor of five."
- Jim Silva Director Business Partner at Pfizer Inc.
Case studies
Zappos Creates Breakthrough Customer Experiences Using AWS
Save the Children Spain, part of a global NGO protecting children’s rights, faced challenges with its on-premises data management system. Unable to effectively integrate and analyze information from multiple sources, it struggled to personalize donor outreach and optimize fundraising. Partnering with AWS Premier Consulting Partner Devoteam, it implemented a cloud-based data-lake solution using Amazon Web Services (AWS). This transformation enabled seamless data integration, enhanced donor insights, and improved campaign effectiveness. The new system streamlined operations, reduced costs, and allowed Save the Children Spain to redirect more resources to humanitarian projects, benefiting children in need worldwide.
The Tehanu project in Rwanda’s Volcanoes National Park has demonstrated groundbreaking use of generative AI to infer and act on the interests of mountain gorillas. Leveraging technology solutions from Amazon Web Services (AWS), AWS Partner Anthropic, and with the support of AWS Partner Adastra, Tehanu created an automated pipeline to process behavioral data of gorillas, enabling the first-ever digital financial transactions by a non-human species. The AI solution synthesized vast academic and observational data, aligning conservation actions with species-specific preferences while supporting biodiversity efforts. This scalable, innovative approach sets a precedent for using AI to foster coexistence across species worldwide.
Based in Finland, the University of Turku built a business simulator to help students understand decision making around sustainability issues. To enable growth, the University worked with Amazon Web Services (AWS) and AWS Partner Eficode to improve the software’s scalability and security. It has expanded its services to business leaders in addition to students. It can now add more features such as Amazon Quicksight, providing real business tools for all learners.
Ladbrokes.live, a provider of streaming sports entertainment content operating in Belgium, was grappling with critical challenges that hindered their ability to attract and retain users. Partnering with AWS Partner, Cloudar—also based in Belgium—the company transitioned to a cloud-native architecture powered by Amazon Web Services (AWS) technologies. This transformation enabled Ladbrokes.live to deliver a seamless, personalized user experience featuring avatars that can be customized to deliver information and statistics relevant to the viewers’ interests, in their language of choice. The solution also helped Ladbrokes.live optimize operational costs and set the stage for continuous innovation in a highly competitive industry.
La compañía de servicios de factoring Capital Express quería mejorar las evaluaciones de los clientes y hacer crecer su negocio, pero tenía un sistema obsoleto que dificultaba el acceso a los datos. La compañía recurrió al socio de AWS, NetRed, para migrar sus datos utilizando los servicios de Amazon Web Services (AWS). Gracias a la migración, Capital Express pudo crear Advance, una innovadora herramienta de gestión financiera que ofrece un procesamiento de datos en tiempo real. La implementación de Advance redujo los costos operativos mensuales en un 94 por ciento. También disminuyó el tiempo necesario para la inscripción de clientes y las consultas de TI a solo cinco minutos. Estas mejoras han agilizado las operaciones y permiten una prestación de servicios más rápida, lo que aumenta drásticamente el potencial de crecimiento de Capital Express y ayuda a satisfacer las necesidades de los clientes con mayor rapidez.
Crece Más, a company devoted to helping entrepreneurs thrive, wanted to develop a platform to give small businesses tools to automate operations and grow—but struggled to secure funding. With the help of AWS Partner Facele and Amazon Web Services (AWS) infrastructure, Crece Más secured funding to develop a platform to manage inventory, sales, deliveries, and more. With an impressive new application, Crece Más has grown its customer base by 45 percent in just six months. The platform allows small businesses to scale, increase sales by up to 45 percent, and reduce operational costs by 25 percent, helping them expand into new markets and contribute to regional economic growth.
Woot designed a cloud-native data warehouse as a replacement for their legacy data warehouse built on a relational database. As s result, their operational costs fell by 90%.
After evaluating multiple options, Innovid chose Redshift for scaling their datawarehouse. It allows them to predict their data analytics costs while keeping it within budget and easily access their data lake on Amazon S3 to maximize flexibility in analyzing their data.
Innovaccer is helping healthcare organizations activate their healthcare data. With Amazon Redshift, they were able to achieve the best-rated time-to-value in transforming data to analytics and delivering ROI. Innovaccer’s platform could integrate data across multiple sources in about half the time compared to industry standards and at 70% less cost.
Amazon is solving big-data challenges with data lakes. By storing data in a unified repository in open standards-based data formats, data lakes allow you to break down silos, use a variety of analytics services to get the most insights from your data, and cost-effectively grow your storage and data processing needs over time.
To protect Siemens from cybercrime, the Siemens Cyber Defense Center (CDC) continuously monitors Siemens’ networks and assets. To handle the resulting enormous data load, the CDC built a next-generation threat detection and analysis platform called ARGOS. ARGOS is a hybrid-cloud solution that makes heavy use of fully managed AWS services for streaming, big data processing, and machine learning.