Category: Analytics

Women’s sports have lacked access to data analytics geared towards enhancing their performance. AWS and KINEXON collaborated to develop player tracking technology tailored for women, with key innovations including personalized load management plans based on an athlete’s cycle. This helps establish meaningful performance thresholds derived from data, and build a supportive community to advance equality through sports technology specifically designed for women.

SaaS relies on the cloud for efficient delivery, but faces data challenges like tenant isolation, high storage costs, and compliance requirements. Amazon FSx for NetApp ONTAP solves these by providing multi-tenancy, storage efficiencies, persistent Kubernetes storage, and more. It enables SaaS providers to enhance agility while managing data availability, protection, security and costs. Arcesium reduced dev/test refreshes by 80% and overall costs by 46% using FSx for ONTAP.

The travel and transport industry faces increasing pressure to reduce emissions due to environmental regulations and consumer demand. However, a gap exists between consumers’ stated willingness to pay more for sustainable options and their actual behavior. TCS GreenMiles Mobility aims to bridge this gap by providing data-driven insights, discoverability of emissions hotspots, control over reducing emissions through operational changes, and predictability through modeling net-zero pathways.

While healthcare organizations understand the importance of patient data, there’s no efficient framework for secure sharing. Many retain data rather than risk exposure, resulting in siloed, inaccessible information. Oncoshot built a federated AWS platform on AWS that enables secure data exchange, connects experts with real-time patient insights to accelerate trial enrollment, and expedites potentially life-saving therapies without exposing patient data.

Many organizations want to migrate from legacy BI tools to Amazon QuickSight, but manual migration cab be costly. Wavicle’s QuickSight Migration Solution (QMS) automates and optimizes this process, analyzing existing dashboards, identifying duplication, automating conversion, and facilitating a seamless rollout. This reduces migration effort, costs, and risks so organizations can rapidly realize QuickSight’s self-service analytics, flexibility, and cost savings.

A content delivery network (CDN) caches content closer to users and reduces load times. Monitoring CDN performance is crucial for optimizing user experience, and this post demonstrates building an Amazon QuickSight dashboard with generative AI capabilities to gain insights from Fastly CDN logs in Amazon S3. It covers configuring real-time log streaming, using AWS Glue to catalog data, accelerating dashboard creation using natural language, and creating rich data stories for stakeholders.

Designing an ecommerce data analytics service poses challenges like data integration, quality, scalability, real-time processing, security/privacy, and visualization. Thoughtworks leverages AWS services to build data products that acquire, clean, transform, model, and visualize ecommerce data for analytics. Its systematic approach identifies sources, acquires data, cleans/stores it, models products, deploys with CI/CD, and visualizes insights in dashboards.

The True Elements Water Intelligence Platform on AWS transforms complex data into clear insights on local watershed conditions. It provides color-coded scores for water quality and availability to support decisions around capital planning, supply chains, policy, reporting, forecasting, risk management, and innovation. Real-world examples show how the platform guides collective action on pollution, reveals supply chain vulnerabilities, and identifies opportunities for water resilience through targeted investments.

Customer data is critical for modern digital organizations, but is often scattered across tools which can render it useless. Historically, customer data platforms (CDPs) aimed to consolidate data for insights and activation, but organizations now prefer a composable CDP architecture on AWS to sync data from Amazon Redshift and Amazon S3 into downstream tools. Hightouch facilitates this composable CDP approach, making it easy to activate AWS data across channels without engineering work.

As data becomes increasingly valuable, robust security measures are critical. This post reviews how Protegrity’s tokenization integration with Amazon Redshift Dynamic Data Masking enables organizations to effectively protect sensitive data. It provides an overview of key concepts like Protegrity Vaultless Tokenization and Redshift Dynamic Data Masking, including code examples to better safeguard sensitive information within their Redshift data warehouse both at rest and in use.