AWS Business Intelligence Blog

Category: Customer Solutions

Mindex uses Amazon Q in QuickSight to democratize analytics and drive student success in education

In this post, we’ll share how Mindex, a leading provider of enterprise software development and cloud services, partnered with QuickSight to enhance speed and experience and offer advanced analytics to more than 410 school districts through the SchoolTool Platform. We’ll explore how Mindex used QuickSight to build efficient dashboards and used Amazon Q in QuickSight, harnessing the power of generative artificial intelligence (AI) to make dashboard developers more efficient.

Amazon Logistics scales Business Intelligence to over thirty thousand users using Amazon QuickSight

Amazon Logistics (AMZL) is the Amazon last-mile delivery network. The goal of AMZL is to provide customers with a seamless package delivery service across multiple geographies. AMZL plays a critical role in Amazon Transportation’s supply chain by using continuous improvement initiatives and creative thinking to ensure that millions of packages reach their destination as efficiently as possible. Amazon QuickSight reporting and BI infrastructure hosts more than 3,200 dashboards that are consumed by over 30,000 users across the company with average weekly active users of more than 17,500. Critical insights such as AMZL daily and weekly business reviews, operational metrics that help visualize corporate business outcomes and drivers, and operational insights for delivery station managers and AMZL leadership are all hosted in Amazon QuickSight, making it the one-stop shop for AMZL analytics and reporting. In this blog post, we share the challenges AMZL faced with their previous BI solution, their migration to QuickSight, and the best practices that helped the AMZL team to reduce costs and improve performance to help stakeholders make data-driven decisions.

Axis Bank gets modern business intelligence capabilities with the help of Amazon QuickSight

With over 5350 branches, 8 international offices, and over 16,000 ATMs, Axis Bank is India’s third-largest private sector bank. In this post, we share how Axis Bank used Amazon QuickSight to achieve highly scalable modern business intelligence (BI). As part of our digital transformation journey, we started using AWS to modernize our applications to be cloud-centered. We’ve deployed several mission-critical applications on AWS, from onboarding journeys for Savings, Salary, Staff Account, central Know Your Customer (KYC) platform for video KYC, eKYC, to credit card servicing application.

Prospect uses Amazon QuickSight self-service business intelligence tools to empower clients

Prospect is a data analytics company helping the sports industry use artificial intelligence (AI) to power decisions—from the field to the boardroom. Our customers include teams, leagues, governing bodies, broadcasters, ticketing agencies, and sponsors. In this post, we share how we partnered with Amazon QuickSight to shift our business model from a mainly consultative approach to offering our powerful data analysis and business intelligence (BI) tools directly to customers.

How CloudSmart is delivering sales, product, and marketing insights through embedded analytics with Amazon QuickSight

In this post, we discuss how CloudSmart partnered with Amazon QuickSight to enhance the speed, experience, and data depth of its offering for one of its major customers, RISCPoint, a cybersecurity and compliance specialist.

Anthology uses embedded analytics offered by Amazon QuickSight to democratize decision making for higher education

All your trusted BI capabilities of Amazon QuickSight now come with powerful new AI features that integrate chat agents, deep research, and automation in one seamless experience with Amazon Quick Suite! Learn more » This is a guest post from Anthology. Created in the merger of four leading education technology companies—Blackboard, Campus Management, Campus Labs, […]

Argus Media scales up data-driven decision-making with Amazon QuickSight enterprise business intelligence software

In this post, Argus Media shares how they used Amazon QuickSight enterprise business intelligence (BI) software to build deep data and analysis capabilities across their organization, from sales to finance to marketing, all the way up to technology operations. Argus Media is the leading independent provider of market intelligence to the global energy and commodity markets. The company offers essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. With a staff of 1,300, Argus is headquartered in London and has 29 offices across the world.

Modernize your data architecture using Amazon RDS for PostgreSQL and Amazon QuickSight

A leading captive leasing business, offering financing programs for a range of offerings, was challenged to garner insights due to a disjointed legacy data system, which hindered its business growth. To modernize its leasing solutions and adapt to the evolving needs of its customers, the company needed an agile, scalable technology stack for its data system. Using AWS services, they embarked on a comprehensive overhaul of their data infrastructure. This strategic transformation not only enhanced the company’s data processing capabilities but also set the foundation for advances in performance, productivity, and business velocity. This post discusses how this business transformed their growth trajectory and scaled business intelligence (BI) using Amazon QuickSight and Amazon Relational Database Service (Amazon RDS) for PostgreSQL on a modern data architecture on AWS.

Taking Australia’s high-performance swimming to the next level with embedded analytics

Swimming Australia is the highest governing body for swimming in the nation, with nearly 1,000 clubs and 90,000 registered members nationally. Its primary vision is to create a nation of swimmers admired by the world. Two years ago, Swimming Australia established a Performance Insights team to explore data reporting and insights to help improve coach and athlete performance across the country. In this post, we discuss how Swimming Australia uses Amazon QuickSight to provide performance analytics for athletes and coaches.

Traeger Grills’s Customer Experience team drives customer satisfaction significantly using Amazon QuickSight

Traeger Grills invented the Original Wood-Fired Grill over 30 years ago in Mt. Angel, Oregon. We make it easy for home cooks to create delicious wood-fire flavored meals, and have enhanced our grill products by selling a variety of merchandise, from wood pellets and accessories to meals, seasonings, and T-shirts. Traeger Grills’s Customer Experience team is responsible for order management, customer service, and technical support for customers and commercial partners like The Home Depot, ACE Hardware, and Amazon. In this post, we discuss how Traeger Grills’s Customer Experience team uses Amazon QuickSight for data insights, helping drive customer satisfaction score from approximately 72% to 93%, and improved our first call resolution number from about 40% to 75%.