AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Microsoft Azure Synapse Analytics Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Allstate Insurance 55000 $67.7B United States Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2021 n/a
In 2021, Allstate implemented Microsoft Azure Synapse Analytics as a centralized Data Warehouse to consolidate analytic storage and support cross functional reporting. The Microsoft Azure Synapse Analytics deployment was used to design and persist data models inside Azure Blob Storage and Synapse Analytics, establishing a unified analytic repository for financial and operational reporting workflows. The implementation included structured ingestion and transformation pipelines using Azure Data Factory together with ETL processes that landed transactional datasets from MySQL sources and Hadoop clusters into Synapse. Configuration work emphasized data modeling, automated data quality checks and validation scripts written in Python, and automated report generation using R Markdown and knitr, while Tableau was used for dynamic visualization and parameter driven analysis. Integrations cited in the implementation narrative include Azure Blob Storage, Azure Data Factory, MySQL databases, Hadoop for scalable processing, Tableau for reporting, Jupyter Notebook for advanced analytics and SAS Customer Intelligence Studio for segmentation workflows, with Google Analytics and Salesforce contributing inputs for closed loop reporting. Operational coverage touched finance and operational reporting workflows and marketing analytics, reflecting use cases for monthly resource allocations, financial accuracy checks and marketing strategy insights. Governance and process changes accompanied the rollout, including automated data quality and validation pipelines, Jenkins based monitoring and customized Jira workflows to standardize ETL change control and issue triage. The implementation narrative explicitly links Microsoft Azure Synapse Analytics to improved accuracy in financial and operational reporting and to enhanced marketing strategies, describing Allstate Microsoft Azure Synapse Analytics Data Warehouse as the core platform supporting analytics, reporting and data governance across finance, operations and marketing functions.
Australian Pacific Airports (Melbourne Airport) Transportation 405 $800M Australia Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2022 n/a
In 2022 Australian Pacific Airports (Melbourne Airport) implemented Microsoft Azure Synapse Analytics as a central component of a new Data Warehouse and data lakehouse platform to reimagine passenger experience and reporting. The deployment is positioned to give employees self service access to large volumes of operational and customer data, enabling reporting and analytics without heavy technical dependence. The implementation architecture runs entirely on Microsoft Azure and explicitly combines Microsoft Azure Synapse Analytics with Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL and dedicated SQL pools to form a lakehouse style Data Warehouse. Functional capabilities implemented include self service reporting and business intelligence, real time operational visibility and instrumentation, and a foundation for future AI and machine learning use cases, with Azure Databricks used for data engineering and transformation and Microsoft Azure Synapse Analytics used for analytics and dedicated SQL compute. Integrations and operational coverage reflect aviation and ground operations use cases, the platform ingests passenger flow and check in data to inform queue and resource allocation decisions, parking and staffing data to forecast vendor and cleaning needs, and is being positioned to accept Internet of Things feeds for predictive maintenance on infrastructure. The program was built in partnership with Microsoft’s Aviation, Transport and Automotive Data Specialist team and Databricks teams, and leverages Microsoft AI tooling to extend analytics toward predictive maintenance and safety monitoring. Governance and rollout include executive sponsorship between Melbourne Airport and Microsoft, an emphasis on democratizing data access while protecting privacy and security, and ongoing bi weekly training and technical enablement run by the Microsoft Data and AI team. The platform is described by Melbourne Airport as easy to manage and scalable, enabling broader dataset availability across business units and supporting operational, security and sustainability objectives while providing a governed foundation for further analytics investment.
Bank of America Banking and Financial Services 213000 $101.9B United States Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2017 n/a
In 2017, Bank of America implemented Microsoft Azure Synapse Analytics as a central Data Warehouse platform to support enterprise analytics and operational reporting. This implementation placed Microsoft Azure Synapse Analytics at the center of an MPP oriented cloud architecture, provisioned as Azure PaaS services to host enterprise warehouse systems and downstream business applications. The deployment emphasized core data warehousing capabilities including distributed query processing, workload management, advanced SQL and T SQL stored procedure development, partitioning and indexing strategies, and query performance tuning. Functional modules and capabilities implemented included Synapse SQL pools, Spark notebooks for ETL and transformation, Azure Data Factory orchestration, Azure SQL Database and CosmosDB for operational data needs, and Azure Storage accounts for data lake and archival layers. Operational scope covered multiple cloud database instances across development, UAT and production, with defined processes for storage management, archive and restore, disaster recovery and high availability. Security implementation followed Azure RBAC and database role patterns, with SSO onboarding using Active Directory based authentication and administrative automation built with PowerShell and Cloud Shell and Azure Resource Manager templates. Governance and process changes included integration with Agile delivery and DevOps workflows, using JIRA for issue management, Bitbucket for source control, CI CD pipelines for release automation, Ansible for configuration tasks and Remedy for change management. The engineering role emphasized design review, test suite contribution including integration and regression testing, definition of key performance indicators and internal controls, and close collaboration with engineering, operations and production support teams. Ongoing operational responsibilities specified in the implementation included monitoring and tuning of Synapse Analytics workloads, managing access control and corporate access policies, building automation scripts and tooling for system management, and mentoring junior data engineers to support consistent delivery and maintenance of the Data Warehouse environment.
Cash Converters Retail 900 $271M Australia Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2020 n/a
In 2020, Cash Converters implemented Microsoft Azure Synapse Analytics. The deployment targeted a Data Warehouse consolidation to centralize transactional and customer finance data across the retailer's more than 700 stores in 16 countries and its online channels, driven by a push from the company data science lead and a desire to leverage pay as you go consumption models after running an Azure SQL based warehouse. Microsoft Azure Synapse Analytics was configured to ingest nightly data extracts and to provide a unified analytics layer for operational reporting, credit risk assessment, and predictive modelling. The implementation focused on pipelining and data orchestration capabilities, enabling dataset refreshes and queryable analytics without lengthy infrastructure provisioning. The team retained machine learning on the roadmap while using Synapse for current analytical workloads. Data ingestion streams into the Data Warehouse from retail outlets, online sites, and operational systems, consolidating roughly 1.5 million store transactions per year and a customer base of approximately 200,000 personal finance customers, with the total warehouse footprint reaching up to 7 terabytes. Connections to Synapse were described as straightforward to add, and the internal pipelining moved data into the analytics layer on a nightly cadence to keep management reporting current. Operational scope included retail operations, personal finance and loan origination, and executive management reporting, with Synapse supporting buying and selling workflows and ongoing loan management processes. Governance emphasized enterprise wide transparency so managers and senior executives could access consistent datasets for decision making, and data science led the configuration of analytics and predictive modelling pipelines. The migration from Azure SQL to Microsoft Azure Synapse Analytics was completed in a few weeks and was reported as simple to deploy, configure and use, enabling faster access to insights and more efficient data pipelining. Cash Converters characterizes the work as already benefiting business and customers, with further machine learning driven retail and location optimisation use cases planned for future phases.
Chubb USA Insurance 31000 $13.0B United States Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2018 n/a
In 2018, Chubb USA deployed Microsoft Azure Synapse Analytics as a Data Warehouse to consolidate reporting and analytics across insurance lines of business. The implementation focused on enterprise reporting infrastructure and emphasized SQL-based data processing and profiling for regulatory and management reporting. The implementation included construction of source to target mapping documents for all lines of business and the development of 182 business reports driven by data profiling, stakeholder interviews, and complex SQL. Microsoft Azure Synapse Analytics was used as the central analytics engine while Insurance Services Office reporting and regulatory feeds were assembled into the new data model. Operational workstreams included a migration from Netezza to Azure Synapse with testing of over 200 workflows, and a broader migration of reporting from mainframe process to Qlik Sense, SQL and EXCEL for state level regulatory and non regulatory reporting. The scope covered multiple business functions including analytics, reporting, audit support, and business liaison activities, with offshore teams acting as liaison for ongoing data operations. Governance and delivery were managed through AGILE methodology, daily management reviews, rigorous testing with auditors, and end user training and support after rollout. The project met all delivery dates, saving the company from large fines assessed by states, and established a structured source to target, testing and reporting cadence for ongoing data governance.
Utilities 13008 $8.1B Brazil Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2019 n/a
Government 4000 $1.0B United Kingdom Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2019 n/a
Distribution 35000 $29.7B United States Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2020 n/a
Transportation 582 $180M Italy Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2022 n/a
Construction and Real Estate 10000 $4.3B New Zealand Microsoft Microsoft Azure Synapse Analytics Data Warehouse 2018 n/a
Showing 1 to 10 of 21 entries

Buyer Intent: Companies Evaluating Microsoft Azure Synapse Analytics

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

  1. Burgoyne Management, a United Kingdom based Professional Services organization with 96 Employees
  2. Symphony Risk Solutions, a United States based Insurance company with 112 Employees
  3. SABIC, a Saudi Arabia based Oil, Gas and Chemicals organization with 32000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
Burgoyne Management Professional Services 96 $13M United Kingdom 2025-11-19
Symphony Risk Solutions Insurance 112 $25M United States 2025-09-25
SABIC Oil, Gas and Chemicals 32000 $3.7B Saudi Arabia 2025-07-20
Manufacturing 262647 $203.5B South Korea 2025-06-26
Banking and Financial Services 25954 $63.6B South Africa 2025-04-11
Professional Services 230000 $8.9B India 2025-04-01
Professional Services 600 $130M Israel 2025-01-20
Banking and Financial Services 10469 $5.8B Ireland 2024-11-29
Professional Services 3200 $887M United States 2024-11-19
Banking and Financial Services 10 $1M New Zealand 2024-09-18
FAQ - APPS RUN THE WORLD Microsoft Azure Synapse Analytics Coverage

Microsoft Azure Synapse Analytics is a Data Warehouse solution from Microsoft.

Companies worldwide use Microsoft Azure Synapse Analytics, from small firms to large enterprises across 21+ industries.

Organizations such as Walgreens, Bank of America, Vinci, Allstate and Merck are recorded users of Microsoft Azure Synapse Analytics for Data Warehouse.

Companies using Microsoft Azure Synapse Analytics are most concentrated in Retail, Banking and Financial Services and Manufacturing, with adoption spanning over 21 industries.

Companies using Microsoft Azure Synapse Analytics are most concentrated in United States and France, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Microsoft Azure Synapse Analytics across Americas, EMEA, and APAC.

Companies using Microsoft Azure Synapse Analytics range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 28.57%, large organizations with 1,001-10,000 employees - 14.29%, and global enterprises with 10,000+ employees - 57.14%.

Customers of Microsoft Azure Synapse Analytics 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 Microsoft Azure Synapse Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Warehouse.