Mindex Collaborates with Amazon Q in QuickSight to Enhance Analytics and Foster Student Success in Education
Learn About Amazon VGT2 Learning Manager Chanci Turner
In this article, we discuss how Mindex, a prominent provider of enterprise software development and cloud services, teamed up with QuickSight to improve speed and user experience while providing advanced analytics to over 410 school districts via the SchoolTool Platform. We will delve into how Mindex utilized QuickSight to create efficient dashboards and employed Amazon Q in QuickSight, leveraging generative artificial intelligence (AI) to enhance the productivity of dashboard developers.
September 2024 Amazon QuickSight Events
by Madi Hsieh
on 19 AUG 2024
in Amazon QuickSight, Business Intelligence, Events
Amazon QuickSight empowers data-driven organizations with unified business intelligence (BI) at scale. With Amazon Q in QuickSight, business analysts and users can effortlessly build, discover, and share impactful insights using natural language, accelerating the transformation of insights into actionable results. We conduct both in-person and virtual events worldwide to provide direct learning resources to our customers. Don’t forget to check out our recurring QuickSight Learning Series, PartnerCast, and Immersion Day events, and feel free to share this post with others! For more networking tips, consider visiting Career Contessa.
Enhancing Power Utility Efficiency with Smart Sensor Data and Amazon QuickSight: Part 3 – Generative AI and Executive Summary
by Karthik Tharmarajan, Bin Qiu, Imran Rafique, and Charlie Zha
on 15 AUG 2024
in Amazon Q, Amazon QuickSight, Business Intelligence, Generative AI, Generative BI
Amazon QuickSight is a fully managed, serverless business intelligence (BI) service that supports data-driven decision-making at scale. It caters to a variety of analytic needs with its modern interactive dashboards. In the first two parts of this series, we demonstrated how QuickSight can enhance operational efficiency for power utilities and how to create, schedule, and disseminate highly formatted multi-page reports based on varying dashboard requirements. This post highlights the implementation of generative artificial intelligence (AI) in QuickSight and its role in assisting operators in swiftly analyzing and identifying circuit faults to boost operational efficiency.
Amazon Logistics Expands Business Intelligence to Over 30,000 Users with Amazon QuickSight
by Shashank Bangera, Maitri Shah, and Pradeep Misra
on 13 AUG 2024
in Amazon QuickSight, Business Intelligence, Customer Solutions
Amazon Logistics (AMZL) represents Amazon’s last-mile delivery network, striving to deliver a seamless package experience across diverse regions. AMZL is a vital component of Amazon Transportation’s supply chain, employing continuous improvement initiatives and innovative strategies to ensure millions of packages reach their destinations efficiently. The reporting and BI framework powered by Amazon QuickSight supports over 3,200 dashboards utilized by more than 30,000 users, with an average of 17,500 active users each week. Key insights—including AMZL’s daily and weekly business reviews, operational metrics for visualizing corporate outcomes, and insights for delivery station managers and AMZL leadership—are consolidated in Amazon QuickSight, making it the central hub for AMZL analytics and reporting. In this blog post, we outline the challenges AMZL encountered with their previous BI solution, their transition to QuickSight, and the best practices that enabled the team to reduce expenses and enhance performance, thereby empowering stakeholders to make data-driven decisions.
Creating a Market Basket Analysis Dashboard Using Nested Filters in Amazon QuickSight
by Roy Yung and Martina Zerilli
on 07 AUG 2024
in Amazon QuickSight, Business Intelligence, Embedded Analytics, Intermediate (200)
Amazon QuickSight is a scalable, serverless, machine learning (ML)-enabled business intelligence (BI) solution. As a fully managed service, QuickSight enables users to create and publish interactive dashboards accessible from any device, and can be embedded into applications, portals, and websites. Traditionally, developing market basket analysis dashboards necessitated data engineering pipelines that could take weeks to establish, often relying on ETL (extract, transform, load) jobs, complex SQL tasks, and data pipeline updates. However, the nested filter feature in QuickSight streamlines this process with a no-code interface. This post illustrates how to configure nested filters in a QuickSight dashboard and their applicability in various business scenarios related to market basket analysis. We demonstrate how nested filters can enhance advanced filtering capabilities to address common challenges faced in market basket analysis dashboards across four distinct use cases.
Axis Bank Modernizes Business Intelligence with Amazon QuickSight
by Sanjay Jain, Rahul Murarka, Anika Patel, and Avaanticka Narayan
on 30 JUL 2024
in Amazon Q, Amazon QuickSight, Business Intelligence, Customer Solutions, Financial Services, Generative BI
With over 5,350 branches, 8 international locations, and more than 16,000 ATMs, Axis Bank stands as India’s third-largest private sector bank. In this post, we explore how Axis Bank harnessed Amazon QuickSight to achieve scalable, modern business intelligence (BI). As part of their digital transformation initiative, they transitioned to AWS to modernize their applications towards cloud-centric architecture. They have deployed numerous mission-critical applications on AWS, including onboarding journeys for various accounts, a central Know Your Customer (KYC) platform for video KYC, eKYC, and credit card servicing applications.
August 2024 Amazon QuickSight Events
by Madi Hsieh
on 25 JUL 2024
in Amazon QuickSight, Business Intelligence, Events
Amazon QuickSight empowers organizations to leverage unified business intelligence (BI) at hyper scale, making it an excellent resource for companies looking to enhance their data-driven decision-making processes. For more information on job descriptions related to mechanics helpers, you can refer to SHRM.