AWS Business Intelligence Blog

Category: Business Intelligence

Harmonize oil and gas datasets and create business intelligence software with Amazon QuickSight

With origins in India and a legacy of more than 50 years, Tata Consultancy Services (TCS) is a global consultancy specializing in a range of technical operations. We operate in more than 50 countries with a highly localized workforce of more than 600,000 employees, across cloud and cybersecurity to analytics and network capabilities. In this post, TCS shares how we built a modern business intelligence (BI) software for an oil and gas client with Amazon QuickSight.

Use Amazon QuickSight level-aware calculations to analyze COVID-19 datasets

You can use the advanced functionalities in Amazon QuickSight to analyze data at different dimensions and get granular, actionable insights from your data. QuickSight also enables you to achieve this without having to worry about the complexity with data preparation. With QuickSight level-aware calculations (LAC), users including business analysts, data scientists, and decision-makers can dynamically […]

Support multi-tenant applications for SaaS environments using Amazon QuickSight

This post provides guidance on deploying QuickSight in a multi-tenant environment, and the considerations around data isolation and deploying resources to tenants in a QuickSight application. Multi-tenancy within applications provides a mechanism to segment groups of users from one another. These groups could be users from different companies, different geographic regions, or different lines of business within an enterprise. Users within different tenants can’t see other users, data, and assets, while reducing the complexity of having a different infrastructure for each set of users.

Common Securitization Solutions uses QuickSight to create a business intelligence data engine

This is a guest post authored by Rishi Ranjan from Common Securitization Solutions. A joint venture of Fannie Mae and Freddie Mac, Common Securitization Solutions (CSS) administers a portfolio of $6.4 trillion worth of mortgage-backed securities. They use huge quantities of data to facilitate investment decisions. In this post, CSS shares how Amazon QuickSight helped […]

Visualize Amazon QuickSight costs using AWS CUR and cost allocation tags

Amazon QuickSight is a business intelligence (BI) solution that any organization can leverage to share data and insights to anyone in the organization. As a serverless BI tool, it offers a comprehensive set of advanced analytics features, and one core benefit is that pricing is consumption based. That being said, Quicksight can be leveraged for different use cases and each variant might require a different method to track and report on the cost of running QuickSight. In this post, we explore how you can use AWS CUR and AWS tags to monitor how specific users are using QuickSight. We also discuss how these tags can help organizations implement cloud cost controls by providing the data needed to support custom chargeback reporting.

Automate failed dataset ingestions using Amazon QuickSight

In this post, we show how to use AWS CloudFormation to deploy all the necessary resources to automate the retry of the ingestion of a failed dataset refresh. This can help speed up the time to have the data available to the users by either completing the refresh successfully or providing more information on the cause of the failure to the dataset owner. Additionally, QuickSight assets can be monitored using Amazon CloudWatch metrics. QuickSight developers and administrators can use these metrics to observe and respond to the availability and performance of their QuickSight ecosystem in near-real time.

NBME launches INSIGHTS℠ for their medical examination data using Amazon QuickSight

This is a guest post co-authored by Asem Akhtar from AWS and Vimal Sharma, Patricia Yi, Kevin McAllister and Jennifer Kearney from NBME (National Board of Medical Examiners). NBME (National Board of Medical Examiners) advances healthcare quality for the public by offering high-quality assessments and learning tools for doctors and other health professionals, such as […]

Prevsis safety and sustainability software solutions help customers make informed decisions with Amazon QuickSight

Prevsis aims at caring for workers’ safety, well-being, and corporate sustainability. It focuses on delivering a no-code occupational health and safety (HS) and environmental, social, and governance (ESG) solution with a wide range of data pipelines for robust analytics harvesting with AI capabilities. Users in high-risk industries such as mining, energy, construction, and logistics can digitally manage all their safety and compliance needs through a one-stop interface. As one of the leading digital service providers in the HS/ESG field Latin America, we capitalize on decades of experience to help customers assess and monitor risk levels, enhance operational efficiency, and minimize disruptions across the workplace. In this post, we share how Prevsis used Amazon QuickSight to create more than 700 client dashboards.

Announcing QuickSight Arena: Explore Amazon QuickSight for free and showcase your dashboards

The Amazon QuickSight Community serves as a one-stop-shop where business intelligence (BI) authors and developers from across the globe can access learning content, ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. QuickSight powers data-driven organizations with unified BI at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries. In this post, we walk through the new QuickSight Arena—an embedded instance of QuickSight on the QuickSight Community—and explain its use cases and how to get started.

Meet the Top 10 QuickSight Experts of 2023 from the Amazon QuickSight Community!

We are thrilled to introduce the Top 10 QuickSight Experts on the Amazon QuickSight Community for 2023! This worldwide group of esteemed business intelligence (BI) experts has shared their incredible expertise in data visualization in order to propel others forward on their BI and generative BI learning journey. They dedicate their time to help others, […]