AWS Business Intelligence Blog

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.

Introducing new analysis experience on Amazon QuickSight

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML)-powered business intelligence (BI) service built for the cloud. It enables you to create and publish interactive dashboards and highly formatted reports accessible through web browsers or mobile devices. On November 16, 2023 – QuickSight has launched a new analysis experience, enabling a more intuitive and efficient way for you to author dashboards on QuickSight. In this post, we will walk you through the key experiences of this redesign and explore the enhanced workflows that empowers authors to create beautiful dashboards and reports. With the new experience, we have redesigned the core authoring workflows to be more intuitive, scalable, and efficient. This post outlines the key elements and the core authoring workflows that has been redesigned.

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 […]

Tenerity uses Amazon QuickSight to build an enterprise business intelligence dashboard that saves the organization time and money

Tenerity, an engagement company, helps over 2,000 client partners serve millions of customers and improve lifetime customer value with its reward platforms and programs. The company uses proprietary data analysis and technology to offer loyalty discounts and a consumer identity protection service to enhance brand loyalty and revenue. In this post, we discuss how Tenerity used Cloud Custodian and Amazon QuickSight to build our business intelligence (BI) dashboard to boost the organization’s efficiency and bottom line.

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.

How Amazon QuickSight empowered Treez to build an industry-leading analytics product at a lower cost

Treez is a leading provider of enterprise point of sale (POS) software for the regulated cannabis retail industry, serving thousands of customers. It’s a young industry with a large proportion of small businesses operating within it, and they work in a complex environment of regulatory scrutiny and change. In this post, we discuss how we built an embedded business intelligence (BI) dashboard system in our POS offering for our customers and their own internal staff using Amazon QuickSight.

Connect Starburst Galaxy with Amazon QuickSight

Starburst is an AWS Data and Analytics Competency Partner with the Amazon Graviton and EC2 Spot Ready product designations. Starburst Galaxy is a fully-managed data platform, powered by Trino, that combines the scalability of a data lake, the functionality of a data warehouse, and the reach of data virtualization in a single platform. Galaxy offers several business intelligence (BI) and visualization tool integrations, including Amazon QuickSight. This post shows you how to connect QuickSight to Starburst Galaxy for powerful visualizations across all your cloud data sources.

Improve pivot table space utilization using the hide collapsed columns and default column width features in Amazon QuickSight

Recently, we launched a range of new features for Tables and Pivot Tables in QuickSight centered around interactivity and performance, allowing you to alter field visibility, load tables faster, and build consistency across different interactions. Building on this momentum, we are excited to unveil two additional capabilities, this time with a focus on improving readability, presentation, and space optimization.