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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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Michelin, an e2open customer evaluated Oracle Transportation Management

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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Amazon QuickSight Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Amazon United Kingdom Retail 64733 $10.0B United Kingdom Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2020 n/a
In 2020, Amazon United Kingdom provisioned Amazon QuickSight, Apps Category: . The deployment was centered in the People eXperience & Technology business function supporting Amazon Logistics AMZL UK operations and the HR Optimisations team of 20, with specific operational touchpoints at AMZL UK sites and the HR partner Amazon UK Services Ltd. Amazon QuickSight was used to deliver cloud-native analytics and operational dashboards for HR reporting, notably absence and engagement metrics. The implementation included authoring interactive QuickSight dashboards and visualizations, and routine export of dataset snapshots for deeper analysis in Excel, with the full application name Amazon QuickSight used as the primary analytics layer. Integrations were limited to internal systems and supporting tools explicitly described by the PXT team, namely QuickSight dashboards feeding downstream Excel analysis and reporting into SharePoint and internal Wiki information platforms. Operational coverage extended across PXT functions including employee engagement, HR tech and tools, growth and metrics, people processes and policies, and the small administrative teams responsible for drug and alcohol testing coordination with external providers. Governance and rollout were governed by the PXT HR Optimisations team, with a dedicated subgroup of five administrators owning the Drug & Alcohol policy and testing administration, and program-level coordination for Mental Health First Aid training delivered to 100 plus HR professionals within a stated budget of £28,000. Ongoing operational practices included regular data gathering from QuickSight, consolidation and presentation of metrics to leadership, support for recruitment screening and interview panels, and maintaining online tools for wider AMZL team consumption.
BP Oil, Gas and Chemicals 100500 $189.2B United Kingdom Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2020 n/a
In 2020, BP deployed Amazon QuickSight to modernize procurement and supply chain analytics as part of a broader AWS cloud migration, Apps Category "". The implementation was positioned alongside a rapid AWS migration program that had moved over 60% of BP’s European mega data centre workloads to AWS within a year, and linked business intelligence to cloud-native services to reduce energy use and emissions from BP’s digital infrastructure. The Amazon QuickSight implementation focused on automated spend analysis and purchase tracking, leveraging machine learning capabilities embedded in Amazon QuickSight to identify trends and surface anomalies in procurement data. Configuration work emphasized data ingestion pipelines and visualization templates for procurement and supply chain teams, enabling role-based dashboards and scheduled reporting to support category managers and sourcing operations. Operational integration tied Amazon QuickSight to BP’s AWS-hosted data estate, including Amazon Aurora as the cloud database for trading and other transactional sources, and broader AWS services used in BP’s cloud footprint. The rollout targeted procurement and supply chain functions, and was coordinated with concurrent initiatives such as AI and machine learning pilots, for example Talk2Me for retail helpdesk automation, to align analytic outputs with operational workflows. Governance and rollout were executed as part of BP’s centralized cloud program, with cloud orchestration and data governance controls extended to business intelligence artifacts. Outcomes reported in the program context included reduced energy use and emissions from the digital estate, a 40% reduction in BP retail helpdesk calls through an Alexa powered AI system, and improved operational resiliency and performance tied to Amazon Aurora, with Amazon QuickSight delivering automated tracking and analysis of purchases and spending trends.
Chelsea Logistics (Udenna Group) Transportation 1965 $72M Philippines Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2022 n/a
In 2022, Chelsea Logistics implemented Amazon QuickSight, a Business Intelligence and Analytics application, in its Amazon Web Services environment. The deployment was developed in partnership with Stratpoint Technologies, delivering an enterprise-facing analytics layer to surface customer behavior reports for management. The QuickSight implementation focused on interactive dashboards, scheduled reporting, and ad hoc analysis capabilities, configured to consume curated datasets and modeled measures for customer behavior and operational trends. Amazon QuickSight was configured with role based access controls and dashboard level metadata to support segmented reporting across business units. The solution was integrated into Chelsea Logistics' AWS environment and connected to enterprise operational data sources to consolidate transactional and customer interaction records. Operational coverage emphasized commercial and customer service functions to align analytics outputs with management decision workflows. Stratpoint Technologies supported the initial rollout and knowledge transfer while establishing governance for dataset curation and report ownership to maintain report accuracy and cadence. The Amazon QuickSight deployment provided timely customer behavior reports, which assisted management in making strategic and proactive business decisions.
Cigna Healthcare Insurance 71295 $244.4B United States Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2019 Virtusa
In 2019, Cigna Healthcare implemented Amazon QuickSight within an AWS centered Analytics and BI initiative coordinated by a Cloud Center of Excellence. Virtusa participated as an advisory partner in the COE and guided the engagement through architecture blueprints, proof of concepts, and implementation hand holding to operationalize cloud analytics across the organization. The implementation established a HIPAA compliant data mart that consolidated provider directory data and patient information, and included a cloud based search engine to make data discoverable. Amazon QuickSight was configured to import and access data from these marts for visualization, dashboarding, and self service reporting, while AWS Glue provided managed ETL and Amazon Redshift Spectrum and Amazon Athena enabled scalable ad hoc and large scale query processing over data in Amazon S3. Operational practices emphasized reuse and engineering hygiene, Virtusa maintained a Git repository of blueprints and code artifacts to promote standardization, and the COE applied a well architected framework coupled with a DecSecOps strategy to align security, compliance, and deployment pipelines. The deployment was explicitly focused on organization wide data accessibility and analytics workflows that supported clinical and business decision making by surfacing provider and patient insights. As reported by the COE, the Amazon QuickSight driven Analytics and BI implementation yielded improved visibility and faster access to insights for decision making, reduced dependency on aging on premise infrastructure and associated costs, and strengthened security posture through the applied well architected and DecSecOps practices. These outcomes supported enhanced productivity and created new avenues for revenue opportunity as noted in the engagement summary.
Fifth Third Bank Banking and Financial Services 18676 $8.3B United States Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2018 n/a
In 2018, Fifth Third Bank implemented Amazon QuickSight as part of an Analytics and BI deployment on Amazon Web Services. Amazon QuickSight was used to create operational dashboards and visual analytics that fed into fraud detection workflows spanning batch and real time processing layers. The implementation constructed explicit batch and speed layers, with Athena tables for both layers and an external Athena table to merge serving results in S3, supporting the serving layer. AWS Glue was employed to generate batch views, perform data mapping, cleaning, aggregation, and ETL, while PySpark spark sessions and scripts handled batch ingestion into Amazon RDS. HDFS configuration work enabled movement of internet banking and payment system data into Hadoop components prior to cloud ingestion, and AWS Batch was used to design and manage batch processing workloads. Stream processing and real time analytics were integrated into the QuickSight enabled pipeline, using Amazon Kinesis for ingestion, Kinesis Data Analytics for SQL based stream queries, and Kinesis Data Firehose to load processed speed layer records into Amazon DynamoDB. AWS Lambda functions triggered Glue jobs and Kinesis processing on new arrivals, and SNS was used to invoke Lambda in response to messaging events. The implementation fed Redshift via Glue for analytic serving of query results to fraud analysts, and Athena was used for ad hoc queries to rapidly identify potentially fraudulent activities. Operational governance incorporated Agile sprint ceremonies for delivery cadence, AWS CodeCommit for source control, and AWS CodeDeploy for automated deployment to Lambda. Security and access control used AWS KMS for encryption and IAM for key and permissions management. Monitoring and alerting for anomalous events were integrated with Splunk, and pipeline orchestration relied on Glue job scheduling and Lambda triggers to automate end to end processing. Outcomes explicitly realized include Amazon QuickSight dashboards for tracking key performance indicators used by fraud analysts and the use of Athena queries to surface potentially fraudulent activity quickly, supported by automated Glue and Kinesis pipelines. The solution combined Analytics and BI visualization with batch and speed data engineering components to operationalize fraud monitoring and analyst workflows.
Professional Services 1400 $260M United States Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2020 n/a
Insurance 300 $989M Canada Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2020 n/a
Professional Services 150 $15M Brazil Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2020 n/a
Professional Services 1000 $250M United States Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2021 n/a
Professional Services 85 $9M United Kingdom Amazon Web Services (AWS) Amazon QuickSight Analytics and BI 2018 n/a
Showing 1 to 10 of 13 entries

Buyer Intent: Companies Evaluating Amazon QuickSight

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon QuickSight. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon QuickSight for Analytics and BI include:

  1. Accord Fintech, a India based Professional Services organization with 170 Employees
  2. Webjump, a United States based Professional Services company with 220 Employees
  3. Rudolph Foods, a United States based Consumer Packaged Goods organization with 400 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
Accord Fintech Professional Services 170 $20M India 2026-03-04
Webjump Professional Services 220 $30M United States 2026-01-30
Rudolph Foods Consumer Packaged Goods 400 $100M United States 2025-10-21
Professional Services 15 $1M United States 2025-02-17
FAQ - APPS RUN THE WORLD Amazon QuickSight Coverage

Amazon QuickSight is a Analytics and BI solution from Amazon Web Services (AWS).

Companies worldwide use Amazon QuickSight, from small firms to large enterprises across 21+ industries.

Organizations such as Cigna Healthcare, BP, NextEra Energy, Amazon United Kingdom and Fifth Third Bank are recorded users of Amazon QuickSight for Analytics and BI.

Companies using Amazon QuickSight are most concentrated in Insurance, Oil, Gas and Chemicals and Utilities, with adoption spanning over 21 industries.

Companies using Amazon QuickSight are most concentrated in United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon QuickSight across Americas, EMEA, and APAC.

Companies using Amazon QuickSight range from small businesses with 0-100 employees - 7.69%, to mid-sized firms with 101-1,000 employees - 30.77%, large organizations with 1,001-10,000 employees - 23.08%, and global enterprises with 10,000+ employees - 38.46%.

Customers of Amazon QuickSight include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Amazon QuickSight customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.