AWS Business Intelligence Blog

Category: Embedded Analytics

Amazon QuickSight: 2023 year in review

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 […]

How ibiDs.io used embedded analytics dashboards to create a new, user-friendly product

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.

Build custom and interactive dashboards using new runtime capabilities in QuickSight Embedding SDK

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. Today, we’re launching a feature you can use to dynamically update the theme and filters of embedded dashboards and visuals at runtime through the QuickSight Embedding SDK. Runtime filtering and theming of embedded dashboards and visuals can help you seamlessly integrate your SaaS application with QuickSight embedded dashboards and visuals. You can now use the new methods available in the Embedding SDK

Automate your Amazon QuickSight assets deployment using the new Amazon EventBridge integration

We heard that you wanted an automated, scalable way to deploy, back up, or replicate Amazon QuickSight assets at scale so that BIOps teams within your organization can work in an agile manner. We are launching QuickSight assets Create, Update, and Delete (CUD) events using Amazon EventBridge. With EventBridge, developers can respond automatically to events in QuickSight such as a new dashboard creation or update. These events are delivered to EventBridge in near real time. Developers can write simple rules to indicate which events are of interest to them and what actions to take when an event matches a rule. By subscribing and responding to QuickSight events in EventBridge, customers can automate their workflows, such as continuous deployment, replication, and backups.

CubeServ elevates HR analytics and workforce planning for customers using Amazon QuickSight

CubeServ is a premium consulting company that specializes in making data relevant and usable for customers. Founded in Switzerland in 2001, CubeServ provides advanced analytics solutions that specializes in making data insights accessible and assisting customers with the ideation and creation of BI projects. In this post, we discuss how we migrated from an in-house BI solution to delivering embedded analytics within PeoplePLAN using Amazon QuickSight.

What’s new with Amazon QuickSight at AWS re:Invent 2023

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. The event features keynote announcements, training and certification opportunities, access to more than 2,000 technical sessions, a partner expo, after-hours events, and so much more. This year’s re:Invent will be held in Las Vegas, Nevada, from November 27 to December […]

How Ping Identity uses embedded analytics dashboards to bring key metrics to customers

Ping Identity is a provider of identity and access management solutions that lead to frictionless and secure digital experiences. Ping’s services and embedded analytics dashboards make it easy for organizations to manage and control how their users access digital resources and apps. In this post, we discuss how Ping Identity uses Amazon QuickSight to embed analytics into the PingOne Cloud Platform to enhance customer experience and gain a better understanding of customer behavior with data-driven insights.

EasySend brings analytics to customers — and unlocks the secret of monetizing data

EasySend is a no-code platform that makes it easy for businesses to transition from long, plain-text forms to rich, interactive digital experiences. We work with over 100 enterprises, including world-leading carriers, agencies, brokerages, MGAs/MGUs, TPAs, and insurance software integrators. Using EasySend, the data collection process becomes more intuitive and enjoyable for end users — and, crucially, the data itself is easier for the business to manage, verify, and track by automatically syncing to customers’ core systems. In this post, we discuss how EasySend embeds analytics into their platform to enhance customer value through data and insights at their fingertips using Amazon QuickSight.

Announcing the Amazon QuickSight Community Developer Corner

The Amazon QuickSight Community was launched in February 2022 to serve 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. In this post, we’ll walk through the resources offered in the QuickSight Community, highlighting the newly launched Developer Corner for application developers, which showcases QuickSight’s embedded analytics capabilities across all facets of the customer experience.

Build embedded analytics architectures using Amazon QuickSight

This post helps cloud architects, cloud engineers, and developers build embedded analytics architectures on the AWS Cloud using AWS purpose-built data analytics services and Amazon QuickSight by providing various architectural patterns for building personalized dashboards based on user role or job function. We also discuss best practices and key considerations that showcase the power of embedded analytics, and share additional resources for getting started with building embedded analytics on AWS.