AWS Public Sector Blog

Category: Analytics

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Adding an ingress point and data management to your healthcare data lake

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.

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Scaling to share unprecedented volume of election donation data, quickly and cost-effectively

Campaign contributions have grown exponentially in the United States. In 1980, there were around 500,000 contributions made; in 2020 alone, the Federal Election Commission (FEC) expects 500 million contributions. Meanwhile, the evolution of technology has changed the way Americans contribute to political campaigns, making it easier to make many small contributions. To meet unprecedented demand for data transparency, the FEC turned to the cloud.

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Using advanced analytics to accelerate problem solving in the public sector

Organizations across the globe are using advanced analytics and data science to predict and make decisions. They are finding ways to use their vast and diverse data stores to predict the best place to put their next retail store, what products to recommend to customers, how many employees they need for peak hours of operation, and how long a piece of machinery has until it needs maintenance. Public sector organizations in government, education, nonprofit, and healthcare are looking to use data to advance their missions too. Learn how.

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Improving your commute, a cloud at a time: Transportation in the age of technology

Our cities are becoming smarter and faster every day, and as the modern city evolves so does its transportation offerings. By migrating transportation services to the cloud, cities can evolve to meet constituents’ transportation needs. To meet a modern-day travelers’ expectations, the cloud drives innovation by providing real-time analytics and predictive modeling that can make transportation easier and faster.

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Gamifying math education: How Prodigy uses AWS to scale and process 20 million questions daily

Prodigy Game (Prodigy) has a mission to help every child in the world love learning and make education freely available to students globally. Prodigy’s math game – geared toward learners in the first to eighth grade – allows students to hone their math skills with questions delivered according to their individual needs. As their user base grew, so did the strain on their ability to handle the increasing demands. They turned to AWS.

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OSU-OKC upskills its workforce and drives real-time decision making with live reporting and analytical modeling

Oklahoma State University in Oklahoma City (OSU-OKC), a two-year, technical-focused college, has historically faced challenges with consistent reporting, database management, and analytics. Technology generalists hired to do these tasks required extensive training to successfully extract data from traditional student information systems, manipulate data for state and federal compliance reporting, and generate limited campus reporting for operational or academic program review and analysis.

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