Category: Amazon QuickSight

AWS re:Invent 2023, held this year from November 27 through December 1 in Las Vegas, Nevada, is a learning conference hosted by AWS for the global cloud computing community. The in-person event features keynote announcements, innovation talks, workshops, builder labs, and more. Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale for […]

As 2023 comes to a close, we at the Amazon QuickSight team wanted to provide you with a summary of all that’s new in the product. Over the course of the year, we built capabilities that make data and insights more accessible to business users than ever before. From Amazon Q in QuickSight, which lets […]

This is a guest post by Tony Zakula, Founder and CEO of Kodaris. In this post, we discuss how, by embedding Amazon QuickSight into our Kodaris platform, we’ve added advanced self-serve analytics to our capabilities and deliver up to $500,000 per customer in annual savings for our customers depending on the size of their analysis […]

Are you looking to deploy and manage your Amazon QuickSight assets using the QuickSight asset deployment APIs (also known as asset bundle APIs)? If so, you have two options for exporting your assets: QUICKSIGHT_JSON or CLOUDFORMATION_JSON format. In this post, we explore the pros and cons of each option to help you make the right choice for your organization’s asset needs. We also provide an overview of the API deployment options and some practical guidance on how to use the AWS CloudFormation format. So if you’re ready to learn more about the QuickSight deployment APIs and discover which export option is best for your needs, then let’s get started!

Global Mile is a foundational team within Amazon that helps to build, manage, and operate its global transportation network for orders that cross international borders. Global Mile Exports Visibility was set up in 2019 to architect and own the team’s data management, strategy, and underlying platform. In this post, we discuss how Global Mile migrated their BI dashboards and reports to Amazon QuickSight to enhance their operations.

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that you can use to connect to your data and create interactive dashboards that can be shared with tens of thousands of users. The dashboards can be used within QuickSight or embedded in software as a service (SaaS) apps. As we bid farewell to […]

Pinnacle Infotech is the global leader in Building Information Modeling (BIM) services. BIM is the foundation of digital transformation in the architecture, engineering, and construction (AEC) industry. We use technology to bring certainty to construction projects’ coordination, collaboration, asset management, risk mitigation, logistics planning, and cost optimization. Our small business intelligence (BI) team of six members (three data analysts and three data engineers) were new to BI and the cloud. Our BI team started from three existing web services engineers who had no idea about data warehousing but later grew into a team of six members who forged ahead anyway, building a sophisticated BI team. In this post, we share how Pinnacle used Amazon QuickSight to bring a new BI strategy to life.

Dialog Enterprise stands at the forefront as Sri Lanka’s leading ICT Business solution provider, catering to a diverse clientele of over 4000 enterprises across the island. Our comprehensive suite of services spans converged connectivity, cloud & co-location, security, data analytics, and IoT, all tailored to meet the distinct needs of businesses, regardless of their scale. In this post, we share how Dialog monetizes data using Amazon QuickSight, a unified, serverless business intelligence (BI) service enabling organizations to deliver data-driven insights to all users, and to set up dashboards and visualizations that let non-technical users interact with and explore the data.

ibiDs.io is a platform that helps users pull useful business insights out of public government procurement data in the Dominican Republic. ibiDs.io lets users view government contract information fast enough to capitalize on opportunities with the help of an embedded analytics dashboard for analyzing historical contract data. Built from the ground up with Amazon QuickSight and an AWS architecture, ibiDs.io makes it straightforward for users to learn about and track relevant new opportunities in their industry, do strategic market research, find potential partnerships among suppliers, create proactive marketing plans, and automate their requests for proposal (RFP) reply documents. In this post, we discuss how ibiDs.io delivers embedded analytics using QuickSight to help customers maximize bid competitiveness.

Amazon QuickSight is a cloud-native, serverless business intelligence (BI) service that lets you build visualizations, perform ad hoc analysis, and gain insights through machine learning (ML) capabilities such as anomaly detection, forecasting, and natural language querying. QuickSight utilizes its robust in-memory engine SPICE (Super-fast, Parallel, In-memory Calculation Engine) to rapidly perform advanced calculations and deliver visuals.BigQuery is Google Cloud’s fully managed, petabyte-scale, cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near-real time. In this post, we walk you through the permissions and connection details needed in BigQuery to bring BigQuery data into QuickSight through OAuth and create a simple dashboard.