List of Exasol Customers
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Since 2010, our global team of researchers has been studying Exasol customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Exasol for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Exasol for Analytics and BI include: Piedmont Augusta, a United States based Healthcare organisation with 31000 employees and revenues of $6.00 billion, Monsoon Accessorize, a United Kingdom based Retail organisation with 2300 employees and revenues of $244.0 million, Spread Group, a Germany based Retail organisation with 1000 employees and revenues of $206.0 million and many others.
Contact us if you need a completed and verified list of companies using Exasol, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Exasol customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Monsoon Accessorize | Retail | 2300 | $244M | United Kingdom | Exasol | Exasol | Analytics and BI | 2020 | n/a |
In 2020 Monsoon Accessorize implemented Exasol as its data warehouse to centralize retail reporting and create a single customer view. The deployment is classified under Analytics and BI and focused on accelerating analytics for sales, stock management and distribution centre operations within the United Kingdom.
The implementation configured Exasol to serve as a high performance analytical layer, consolidating reporting workloads and enabling self service BI access. Exasol was used to shorten complex report runtimes from approximately 18 hours to minutes, supporting faster campaign and inventory decision making and enabling ad hoc exploration by business analysts.
Operational coverage emphasized retail CRM and operations teams, with the Exasol environment integrated into the company reporting stack and exposed to MicroStrategy for front end visualization and self service consumption. The project targeted reporting, customer 360 capabilities and distribution centre analytics, enabling business functions in merchandising, marketing and operations to run near real time analyses.
Governance and rollout included enabling self service BI with MicroStrategy and shifting reporting workflows from centrally produced batches to interactive dashboards and analyst driven queries. The implementation narrative centers on Exasol as the central Analytics and BI platform that underpins faster campaign execution and inventory decision processes for Monsoon Accessorize.
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Piedmont Augusta | Healthcare | 31000 | $6.0B | United States | Exasol | Exasol | Analytics and BI | 2017 | n/a |
In 2017, Piedmont Augusta began migrating its analytics platform from Microsoft SQL Server to Exasol to accelerate clinical, operational and financial analytics across the Georgia health system. The work targeted Analytics and BI capabilities with Exasol deployed as the analytical database layer and Tableau retained as the BI front end for the US region.
The implementation concentrated on BI and analytics workflows, provisioning Exasol to power ad hoc query performance, report generation, and metric development. Exasol was used to host analytical data marts and to shorten data mart refresh windows, supporting faster iteration on reporting and metric logic and enabling analysts to develop and publish Tableau dashboards with reduced query wait times.
Integrations were explicitly centered on Tableau for visualization and existing data mart pipelines that fed clinical, operational and financial analytics. Operational scope covered clinical analytics, operational reporting, and finance dashboards across the health system, with Exasol serving as the centralized analytical engine for those use cases.
Governance and rollout prioritized reporting and metric development workflows to realize immediate value for analysts and report consumers. The deployment produced pronounced performance and usability outcomes, with query times dropping from minutes to seconds and data mart refreshes reducing from hours to minutes, delivering large performance improvements for reporting and metric development.
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Spread Group | Retail | 1000 | $206M | Germany | Exasol | Exasol | Analytics and BI | 2022 | n/a |
In 2022, Spread Group implemented Exasol as its central data warehouse to accelerate e-commerce and operations reporting within the Analytics and BI category. The deployment supported eCommerce and retail reporting across Spread Group's European operations and improved timely access to analytics for marketing, sales, and production teams.
Configuration centered on consolidating transactional and operational datasets into Exasol, enabling high performance SQL analytics and accelerated BI report delivery. The Exasol implementation standardized data ingestion and analytic query optimization to serve dashboards and scheduled reports used by marketing, sales, and production functions.
Operational rollout was scoped to European operations, aligning reporting workflows and providing centralized analytics access across commercial and production teams. Spread Group reported up to 164x faster report delivery and six figure annual savings in commissions following the Exasol deployment.
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