Category: Customer Solutions

Founded in 1997, GoDaddy is a domain registrar, registry, web hosting, and ecommerce company serving over 21 million entrepreneurs and micro-business customers. GoDaddy’s Data and Analytics (DNA) team is responsible for GoDaddy’s data platform, business analytics, machine learning and AI initiatives. In this post, GoDaddy shares why they partnered with Amazon QuickSight to shorten their multi-week, manual data insight process and build out Generative BI analytics.

Karnataka Bank is a leading commercial bank in India that offers personal, non-residential Indian (NRI) business and agriculture banking services. It operates over 900 branches and serves more than 13 million customers. In this post, Karnataka Bank shares how they moved from legacy reporting systems to Amazon QuickSight enterprise business intelligence.

In this post, Kyndryl demonstrates how they used Amazon Q in QuickSight to build a Certification Data Explorer tool for analyzing company-wide employee AWS technical certification data, enabling quick insights and data-driven decision-making.

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 written by Laurent Balagué from Docebo. Docebo, founded in 2005, is a global provider of learning […]

Wake, a leading ecommerce platform provider, transformed its business intelligence capabilities by migrating to Amazon QuickSight. In this post, learn about how QuickSight enables Wake to make more informed, agile, and cost-effective decisions.

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 (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.

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 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.

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.