Amazon DataZone Customers and Partners
Customers
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“We had a centralized team that was working on exposing data to our business. They had challenges exposing that data on time. With Amazon DataZone, we were able to introduce that in a way that allowed us to have a self-serve approach for our teams to access data. We can measure things immediately.”
Mirko Buholzer, VP of Software Engineering, Natera
Mirko Buholzer, VP of Software Engineering, Natera
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“Going forward, the company plans to accelerate global expansion while addressing the specific needs of overseas regions, such as GDPR compliance, to create an environment where all 124,000 Fujitsu employees can use data. As for OneData, the company plans to use Amazon DataZone, a new data management service from AWS, to make the data more accessible and to promote data use and self-service across organizational boundaries. The company is also looking ahead to advanced data use for forecasting with artificial intelligence and machine learning and the adoption of Amazon SageMaker Studio.
Mr. Ichiro Aoyagi, co-head of Solution Service Strategic Unit, Fujitsu
“Going forward, the company plans to accelerate global expansion while addressing the specific needs of overseas regions, such as GDPR compliance, to create an environment where all 124,000 Fujitsu employees can use data. As for OneData, the company plans to use Amazon DataZone, a new data management service from AWS, to make the data more accessible and to promote data use and self-service across organizational boundaries. The company is also looking ahead to advanced data use for forecasting with artificial intelligence and machine learning and the adoption of Amazon SageMaker Studio.Mr. Ichiro Aoyagi, co-head of Solution Service Strategic Unit, Fujitsu Read the case study
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“At Holaluz, unifying data across our businesses, while having distributed ownership with individual teams to share and govern their data, is our key priority. Our data is owned by different teams, and sharing typically meant the central team had to grant access. This approval created a bottleneck in our processes. We needed a faster way to analyze data with decentralized ownership, so data access can be approved by the owning team. We have validated the business data catalog use cases in Amazon DataZone preview and are looking forward to get started when it is generally available. Our consumers will be able to find, subscribe, and publish their newly created assets for others to discover, which will enable a data flywheel.”
Danny Obando, Lead Data Architect, Holaluz
Danny Obando, Lead Data Architect, Holaluz
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"Bristol Myers Squibb is actively pursuing an initiative to reduce the time it takes to discover and develop drugs by more than 30%. A key component of this strategy is addressing data sharing challenges and optimizing data availability. Engaging with AWS, we found that Amazon DataZone helped us create our data products, catalog them, and govern them, making our data more findable, accessible, interoperable, and reusable ( FAIR ). We're currently assessing the broader applicability of Amazon DataZone within our enterprise framework to determine if it aligns with our operational goals."
David Liu, Director, Research IT Solution Architecture, Bristol Myers Squibb
David Liu, Director, Research IT Solution Architecture, Bristol Myers Squibb
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"By harmonizing data across multiple business domains, we can foster a culture of data sharing. To this end, we have been using Amazon DataZone to free up our developers from building and maintaining a platform, allowing them to focus on tailored solutions. Utilizing an AWS managed service was important to us for several reasons—combining capabilities within the AWS ecosystem, quicker time to obtain business insights from data analysis, standardized data definitions, and leveraging the potential of generative AI. We look forward to our continued partnership with AWS to generate better outcomes for Guardant Health and the patients we serve. This is more than mere data; it's our dynamic journey."
Rajesh Kucharlapati, Senior Director of Data, CRM and Analytics, Guardant Health
Rajesh Kucharlapati, Senior Director of Data, CRM and Analytics, Guardant Health
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AWS Lake Formation and Amazon DataZone will be instrumental in building, managing, and securing access to the data platform, ensuring data governance and compliance while spurring collaboration and information sharing across key business areas. By combining data lakes and data warehouses, the platform will provide business units at BBVA with a unified view of their data and access to more efficient data processing, analysis, and insights.
Ricardo Oliver, Global Head of Data Engineering, BBVA
AWS Lake Formation and Amazon DataZone will be instrumental in building, managing, and securing access to the data platform, ensuring data governance and compliance while spurring collaboration and information sharing across key business areas. By combining data lakes and data warehouses, the platform will provide business units at BBVA with a unified view of their data and access to more efficient data processing, analysis, and insights. Ricardo Oliver, Global Head of Data Engineering, BBVA Read the case studyLOREM IPSUM

“The launch of Domain Units feature is another step towards the emergence of Amazon DataZone as the leading Data Governance solution for Data Mesh-driven organizations. We are now able to organize Data Assets under specific business units, allowing producers to autonomously manage the lifecycle of their data assets, while providing end-users an efficient and organized way to discover data. Love that each business unit can now have policies that adhere to their own needs as well.”
Tommaso Paracciani, Head of Data & Cloud Platforms at HEMA.
“The launch of Domain Units feature is another step towards the emergence of Amazon DataZone as the leading Data Governance solution for Data Mesh-driven organizations. We are now able to organize Data Assets under specific business units, allowing producers to autonomously manage the lifecycle of their data assets, while providing end-users an efficient and organized way to discover data. Love that each business unit can now have policies that adhere to their own needs as well.” Tommaso Paracciani, Head of Data & Cloud Platforms at HEMA.LOREM IPSUM

With Amazon DataZone we can now do Data Discovery which is the beginning of every data driven process".
Suleman Ahmed, Lead Cloud Solution Architect, Delaval
With Amazon DataZone we can now do Data Discovery which is the beginning of every data driven process". Suleman Ahmed, Lead Cloud Solution Architect, DelavalLOREM IPSUM

“After one year of work, we did the full roundtrip from offering data on our new data marketplace built using Amazon DataZone to transporting it instantly to third-party tools, a process that previously took several weeks. This was a big achievement for our team.”
Jorge Paulino, Product owner of the data solution. Volkswagen Autoeuropa.
“After one year of work, we did the full roundtrip from offering data on our new data marketplace built using Amazon DataZone to transporting it instantly to third-party tools, a process that previously took several weeks. This was a big achievement for our team.” Jorge Paulino, Product owner of the data solution. Volkswagen Autoeuropa.LOREM IPSUM

"Before Amazon DataZone, ATPCO analysts needed to find potential data assets by talking with colleagues; there wasn’t an easy way to discover data assets across the company. This slowed down their pace of innovation because it added time to the analytics journey."
Raj Samineni, Director of Data Engineering, ATPCO
"Before Amazon DataZone, ATPCO analysts needed to find potential data assets by talking with colleagues; there wasn’t an easy way to discover data assets across the company. This slowed down their pace of innovation because it added time to the analytics journey." Raj Samineni, Director of Data Engineering, ATPCOLOREM IPSUM

"At AWS, our vision is to provide customers with reliable, secure, and self-service access to exabyte-scale data while ensuring data governance and compliance. With Amazon DataZone domain units, we are able to organize a vast and growing number of datasets to align with the organizational structure of the customers my teams serve internally. This simplifies data discovery and helps us organize business units’ data in a hierarchical manner for data-driven decision-making at AWS. Amazon DataZone authorization policies coupled with domain units enable a powerful yet flexible way of decentralizing data governance and helps tailor access policies to individual business units. With these features, we are able to reduce the undifferentiated heavy lift while building and managing data products.”
Arnaud Mauvais, Director of Software Development at AWS.
"At AWS, our vision is to provide customers with reliable, secure, and self-service access to exabyte-scale data while ensuring data governance and compliance. With Amazon DataZone domain units, we are able to organize a vast and growing number of datasets to align with the organizational structure of the customers my teams serve internally. This simplifies data discovery and helps us organize business units’ data in a hierarchical manner for data-driven decision-making at AWS. Amazon DataZone authorization policies coupled with domain units enable a powerful yet flexible way of decentralizing data governance and helps tailor access policies to individual business units. With these features, we are able to reduce the undifferentiated heavy lift while building and managing data products.” Arnaud Mauvais, Director of Software Development at AWS.LOREM IPSUM

"At Volkswagen Autoeuropa, we've been grappling with lengthy lead times for data access and manual, redundant data file creation. Amazon SageMaker is a game-changer for us, offering unified governance for our data and AI assets. With its fine-grained access controls and generative AI-powered metadata, we anticipate reducing our data access time from weeks to minutes. We look forward to accelerate our digital use cases with the integration of Amazon DataZone capabilities into the new Amazon SageMaker, driving secure collaboration for our users, in line with our responsible AI policies.“
Carlos Fernandes, Digital Transformation Manager, Volkswagen Autoeuropa
"At Volkswagen Autoeuropa, we've been grappling with lengthy lead times for data access and manual, redundant data file creation. Amazon SageMaker is a game-changer for us, offering unified governance for our data and AI assets. With its fine-grained access controls and generative AI-powered metadata, we anticipate reducing our data access time from weeks to minutes. We look forward to accelerate our digital use cases with the integration of Amazon DataZone capabilities into the new Amazon SageMaker, driving secure collaboration for our users, in line with our responsible AI policies.“Carlos Fernandes, Digital Transformation Manager, Volkswagen Autoeuropa
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“We’re excited to partner with Amazon to bring Tableau’s powerful data exploration and AI-driven analytics capabilities to customers managing data across organizational boundaries with Amazon DataZone. This integration enables our customers to seamlessly explore data with AI in Tableau, build visualizations, and uncover insights hidden in their governed data, all while leveraging Amazon DataZone to catalog, discover, share, and govern data across AWS, on premises, and from third-party sources—enhancing both governance and decision-making.”
Ali Tore, Senior Vice President of Advanced Analytics, Salesforce
“We’re excited to partner with Amazon to bring Tableau’s powerful data exploration and AI-driven analytics capabilities to customers managing data across organizational boundaries with Amazon DataZone. This integration enables our customers to seamlessly explore data with AI in Tableau, build visualizations, and uncover insights hidden in their governed data, all while leveraging Amazon DataZone to catalog, discover, share, and govern data across AWS, on premises, and from third-party sources—enhancing both governance and decision-making.” Ali Tore, Senior Vice President of Advanced Analytics, SalesforceLOREM IPSUM

"For us, Amazon DataZone became a massive game-changer. It allowed us to seamlessly manage, catalog, and govern vast amounts of data across all teams, enabling quicker insights and improved collaboration."
Travis Smith - VP of Data and AI. The Weather Company
"For us, Amazon DataZone became a massive game-changer. It allowed us to seamlessly manage, catalog, and govern vast amounts of data across all teams, enabling quicker insights and improved collaboration." Travis Smith - VP of Data and AI. The Weather CompanyLOREM IPSUM

"Amazon DataZone has streamlined our data management process. It efficiently catalogs our data, manages governance, and facilitates seamless data sharing. The integration with Redshift has automated complex tasks, saving us significant time. Our users can now easily access data through familiar BI tools, while our data scientists have a dedicated space for experimentation. DataZone has truly enhanced our entire data ecosystem."
Jamey Johnston, Data & Analytics strategic Advisor, Oxy
"Amazon DataZone has streamlined our data management process. It efficiently catalogs our data, manages governance, and facilitates seamless data sharing. The integration with Redshift has automated complex tasks, saving us significant time. Our users can now easily access data through familiar BI tools, while our data scientists have a dedicated space for experimentation. DataZone has truly enhanced our entire data ecosystem." Jamey Johnston, Data & Analytics strategic Advisor, OxyLOREM IPSUM

"We envision DataZone to be an end-to-end solution for all of our data, not just data that resides in AWS. At SDG&E, it's critical that we have a solution to catalog, perform data quality checks, and produce lineage for both our cloud and on-premise data, which DataZone enables us to do."
Rob Malowney, Group Product Manager, San Diego Gas & Electric
"We envision DataZone to be an end-to-end solution for all of our data, not just data that resides in AWS. At SDG&E, it's critical that we have a solution to catalog, perform data quality checks, and produce lineage for both our cloud and on-premise data, which DataZone enables us to do." Rob Malowney, Group Product Manager, San Diego Gas & ElectricLOREM IPSUM

“We've really taken this strategy that we want to embed all of our governance, all of our controls right inside of the pipelines to either build a model, access the data, create a project. And Amazon DataZone, and what we call our marketplace has really been critical to that. If you're going to start a project, the attributes of that project then drive the governance and that's built into the actual deployment that we have and into the pipeline, so if you're going to build a model, then you'll have all the model governance controls built into that pipeline”.
Zack Anderson, chief data and analytics officer, NatWest
“We've really taken this strategy that we want to embed all of our governance, all of our controls right inside of the pipelines to either build a model, access the data, create a project. And Amazon DataZone, and what we call our marketplace has really been critical to that. If you're going to start a project, the attributes of that project then drive the governance and that's built into the actual deployment that we have and into the pipeline, so if you're going to build a model, then you'll have all the model governance controls built into that pipeline”. Zack Anderson, chief data and analytics officer, NatWestLOREM IPSUM

You want to discover, share, and govern your data across organizational boundaries. So whether you call it data mesh or a data fabric, data exists across your organization in multiple silos and you want to bring it together. DataZone brings data producers and data consumers together so that producers can share data with built-in controls and data contracts and consumers can consume the data in the tools of their choice.
Shaja Arul Selvamani, Sr. Director AI/ML, Cisco.
You want to discover, share, and govern your data across organizational boundaries. So whether you call it data mesh or a data fabric, data exists across your organization in multiple silos and you want to bring it together. DataZone brings data producers and data consumers together so that producers can share data with built-in controls and data contracts and consumers can consume the data in the tools of their choice. Shaja Arul Selvamani, Sr. Director AI/ML, Cisco.LOREM IPSUM

"We can semantically search for all kinds of assets, whether they are data assets, metric assets, feature engineered assets. This now gives us lineage, which is very crucial when dealing with a system like Amazon where there are multiple hops in the whole network and understanding lineage and where things break is important."
Siva Vaidyanatha, Director Data Analytics, Amazon Transportation
"We can semantically search for all kinds of assets, whether they are data assets, metric assets, feature engineered assets. This now gives us lineage, which is very crucial when dealing with a system like Amazon where there are multiple hops in the whole network and understanding lineage and where things break is important." Siva Vaidyanatha, Director Data Analytics, Amazon TransportationLOREM IPSUM

We provide banking and financial products and services to over 8.5 million retail and business customers, and operate across close to 30 markets.
Our expertise, products and services make us a bank. Our people, purpose, values and culture make us ANZ. ANZ Group Holdings Limited is an authorized non-operating holding company under the Australian Banking Act.
“The Institutional Data & Analytics Platform (IDAP) has allowed the Institutional team to establish a base foundation to allow various teams to aggregate and consume the wealth of data across the division. This self-service platform enables business leaders to both create and consume reusable data products, unlocking value across this division. It’s also an excellent proof point for our broader data mesh architecture, allowing us to connect this divisional data to broader enterprise data stores—further positioning us to put the customer at the center of everything we do.”
Tim Hogarth, CTO ANZ
We provide banking and financial products and services to over 8.5 million retail and business customers, and operate across close to 30 markets. Our expertise, products and services make us a bank. Our people, purpose, values and culture make us ANZ. ANZ Group Holdings Limited is an authorized non-operating holding company under the Australian Banking Act. “The Institutional Data & Analytics Platform (IDAP) has allowed the Institutional team to establish a base foundation to allow various teams to aggregate and consume the wealth of data across the division. This self-service platform enables business leaders to both create and consume reusable data products, unlocking value across this division. It’s also an excellent proof point for our broader data mesh architecture, allowing us to connect this divisional data to broader enterprise data stores—further positioning us to put the customer at the center of everything we do.” Tim Hogarth, CTO ANZLOREM IPSUM

“We adopted Amazon DataZone as our data governance solution for establishing a cloud-based self-service data portal. It allows us to efficiently share our data among of our business units and facilitates a scalable foundation for our BI and data science projects.”
Dr. Leonard Heilig IT Digitalisierung / Standardisierung, Teamlead AI
“We adopted Amazon DataZone as our data governance solution for establishing a cloud-based self-service data portal. It allows us to efficiently share our data among of our business units and facilitates a scalable foundation for our BI and data science projects.” Dr. Leonard Heilig IT Digitalisierung / Standardisierung, Teamlead AILOREM IPSUM

"Previously, each department built its own environment for IoT data, resulting in redundant costs. By leveraging AWS Glue, Amazon S3, and building a data lake platform, and using the AI recommendation feature of Amazon DataZone to organize the data catalog, we reduced the cost of building a data utilization environment to one-tenth of the previous effort. This also strengthened data governance, and enabled us to centrally manage and visualize our company data, establishing a foundation where our employees can readily generate new business ideas from the data."
Kazuhisa Minekawa Director of IT Department, Furuno Electric Co., Ltd.
"Previously, each department built its own environment for IoT data, resulting in redundant costs. By leveraging AWS Glue, Amazon S3, and building a data lake platform, and using the AI recommendation feature of Amazon DataZone to organize the data catalog, we reduced the cost of building a data utilization environment to one-tenth of the previous effort. This also strengthened data governance, and enabled us to centrally manage and visualize our company data, establishing a foundation where our employees can readily generate new business ideas from the data."Kazuhisa Minekawa Director of IT Department, Furuno Electric Co., Ltd.
Partners
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"Slalom is excited to support our customers with the new Amazon DataZone offering. Amazon DataZone will facilitate much needed data governance and democratization, making data more accessible to the frontlines of any organization. By leveraging Amazon DataZone , our customers will be able to safely unlock access to rich business insights, which will facilitate innovation in analytics and AI/ML, too."
Brent Adam, Cloud Solutions Architect Leader, Slalom
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"At Data Reply, we excel in supporting and guiding our clients throughout their journey to becoming a data-driven organization. Our expertise lies in harnessing cutting-edge technologies, such as AI/ML and generative AI, to deliver actionable insights and enhance operational excellence. Data governance stands as a pivotal challenge and a fundamental requirement for a successful data-driven transformation. We are thrilled to collaborate with Amazon DataZone: a cornerstone for data democratization and governance, and a catalyst for modern data platforms like data mesh. This partnership empowers our clients to bolster control, foster collaboration, and streamline data access within a secure and governed environment, offering them a comprehensive view of their data landscape."
Ajish Palakadan, Modern Data Platform Lead, Data Reply UK
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"Cognizant is confident that organizations will increase their investments in data management to accelerate decision making, boost productivity, and deliver superior experiences. As organizations increasingly leverage generative AI capabilities, the demand for searching and collaborating of data assets, while maintaining lineage and privacy, will increase exponentially. We are delighted to be an inaugural partner of Amazon DataZone to help our customers in realizing their data management vision."
Diptesh Singh, Cognizant AI&A Data Management Practice Leader, Cognizant
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"As the lifeblood of digital transformation, organizations are turning to data to make more informed decisions, drive transparency, and create modernized, future-focused organizations that meet their customers' needs in a highly competitive market. At the same time, many organizations are facing challenges in unlocking data due to governance models and privacy constraints, as well as efficiently getting to the most valuable information. By integrating Amazon DataZone into our products and solutions, such as Deloitte's ConvergeHEALTH™ Digital Asset Explorer, we can help our clients unlock new opportunities and engineer advantage by gaining visibility into previously untapped datasets. This will help them make more informed business decisions, manage risks, serve customers, and innovate while maintaining compliance and governance policies."
Juan Tello, US Chief Data Officer, Deloitte Consulting LLP
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"Accenture is looking forward to integrating Amazon DataZone within the Data and Insights Fabric of our Velocity Platform . Our clients who have petabytes of data in myriad data sources, across multiple accounts and regions, find it challenging to discover their data. By using Amazon DataZone, these companies can discover and share data at scale across organizational boundaries with governance and the right access controls."
Jonathan Steinert, Managing Director, AABG Data & AI Lead, Accenture
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