Data and analytics have become a competitive differentiator and a primary source of value generation for organizations. However, transforming data into a valuable corporate asset is a complex topic that can easily entail the use of dozens of technologies, tools, and environments. AWS provides the broadest and deepest set of managed services for data lakes and analytics, along with the largest partner community to help you build virtually any data and analytics application in the Cloud.
AWS Data and Analytics Competency Partners have demonstrated success in helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data at any scale.
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Partners in this category provide a set of tightly integrated tools designed to work together to solve data analytics challenges within a standardized framework. Data analytics platforms allow a diverse set of technologies to procure resources and applications on top of it.
Partners in this category provide highly-scalable, databases that organize data into a structure that is not a traditional RDBMS.
Partners in this category enable customers to move and consolidate data from disparate sources, transform it, and prepare it for analytics. This includes extract, transform, and load (ETL), data quality, profiling, replication, preparation, and related technologies.
Partners in this category help customers turn raw data into actionable business information using online analytic processing technologies, such as reporting, dashboarding, and data visualization.
Partners in this category help customers discover, categorize, and control their data. This includes defining and enforcing policies; security, management of personal information; creating data catalogs and glossaries; data lineage, data masking, and secure data federation.
AWS Competency Partners offering consulting services have demonstrated deep AWS technical expertise and proven customer success in specialized areas across industry, use case, and workload.
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Transform Data Into Valuable Corporate Assets
Explore AWS Data and Analytics Competency Partner eBooks, webinars, customer success stories, and more.
Data Lakes Resources
Store massive amounts of data in a central location and make it available to be categorized, analyzed, and consumed by diverse groups.
Data Warehouse Modernization Resources
Modernize your data warehouse with Amazon Redshift and partner solutions to help you migrate, collect, transform, and visualize all your data.
Data Governance Resources
Drive business value from your data and reduce risks from personally identifiable information with a de-identified data lake.
Real-time Analytics Resources
Turn streaming data into immediately actionable insights for accelerated decision making.
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Success Stories
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Media & Entertainment
CloudZone Streamlines and Adapts Machine Learning Model Lifecycles in the Cloud for LSports
IsraelLSports is a sports data company that provides an innovative API for the sports betting industry, providing high-quality live sports data feeds to clients worldwide. The company had a large repository in their data warehouse and wanted to use this data to provide advanced features to their customers. AWS Partner CloudZone developed an end-to-end machine learning (ML) pipeline. It was designed and built on top of a robust ML foundational service, delivering a training pipeline that controls data preparation, model training, and model deployment for more efficient model training as well as improved performance thanks to better cloud compute power.
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General Public Services
COVU Reduces Call Abandonment by 20% with AWS and Reply
United StatesCOVU offers an AI-enabled platform that delivers support and services to insurance agencies. The company wanted to replace its legacy system to elevate its telephonic capabilities, as well as gain deeper insights into essential metrics, such as average wait times and abandonment rates. The new system would also provide a foundation for rapidly developing new artificial intelligence (AI) solutions and overcoming visibility and call-management limitations. COVU partnered with AWS Premier Tier Services Partner Reply to implement an AI-driven, cloud-based contact center solution built on Amazon Web Services (AWS). As a result, COVU has improved its customer experience and operational efficiency. COVU has reduced call abandonment by 20 percent, increased customer satisfaction by 10 percent, and boosted employee satisfaction by 250 percent.
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General Public Services
Peak and DNX Help Nonprofits Drive Record-Breaking Donor Retention with AWS
AustraliaFor nonprofits that rely on donors to support their charitable causes, fundraising efforts are critical. Built by fundraisers, for fundraisers, digital solutions from Peak Fundraising Systems aim to help nonprofits maximize their campaigns. The company’s platform provides key insights into the performance of fundraising programs so organizations can improve donor retention and sign up the right donors. To make sure Peak provides the best experience to its nonprofit customers, it collaborated with AWS Premier Partner DNX Solutions to create an automated system that uses near real-time data analysis. In fact, the new system helps nonprofits analyze their campaigns and find the insights they need 94 percent faster than before.
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Chris Weitzel, 12/27/2024This year’s re:Invent underscored our commitment to helping every user to make better data-driven decisions with Amazon QuickSight, including the introduction of new generative business intelligence (BI) capabilities to help you make better use of unstructured data, perform in-depth analysis, and much more. QuickSight enables organizations to deliver insights with modern interactive dashboards, embedded analytics, pixel-perfect reports, and natural language.
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Atul Payapilly, Udit Mehrotra, 12/27/2024The Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining 100% API compatibility with open source Apache Spark and Apache Iceberg table format. In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 runtime for Spark and Iceberg compared to open source Spark 3.5.3 with Iceberg 1.6.1 tables on the TPC-DS 3TB benchmark v2.13.
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Madi Hsieh, 12/26/2024Start off 2025 by supercharging your data skills! Join us this January for the Amazon QuickSight Learning Series.
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Randy Toombs, 12/23/2024In this post, we share how Solomon used Amazon QuickSight and AWS technologies to transform emissions data analysis in the oil and gas industry, reducing analysis time from 6 weeks to just 1 week while providing real-time insights for sustainable operations.
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Chandana Keswarkar, Sushant Dhamnekar, 12/23/2024AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.
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