List of Domo Data Science Suite Customers
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Since 2010, our global team of researchers has been studying Domo Data Science Suite 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 Domo Data Science Suite for ML and Data Science Platforms 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 Domo Data Science Suite for ML and Data Science Platforms include: ESPN, a United States based Media organisation with 9500 employees and revenues of $4.21 billion, Freddy's, a United States based Retail organisation with 9751 employees and revenues of $1.76 billion, Filevine, a United States based Professional Services organisation with 700 employees and revenues of $87.0 million and many others.
Contact us if you need a completed and verified list of companies using Domo Data Science Suite, 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 Domo Data Science Suite 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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ESPN | Media | 9500 | $4.2B | United States | Domo | Domo Data Science Suite | ML and Data Science Platforms | 2024 | n/a |
In 2024, ESPN implemented Domo Data Science Suite and Domo App Studio together with partner RXA@OneMagnify to analyze fan survey and contact-center data. The deployment leverages ML and Data Science Platforms capabilities to apply scalable survey analytics and natural language processing to fan feedback and contact-center transcripts. ESPN positioned the work to improve customer service and the fan experience across its United States operations.
Implementation focused on configuring Domo App Studio for data ingestion, model orchestration, and dashboarding within the Domo Data Science Suite environment, emphasizing applied AI workflows and NLP pipelines. Teams implemented category-aligned functions such as data preparation, model training and scoring, and automated survey analytics to surface sentiment and thematic trends. Visual analytics and operational dashboards were used to make model outputs accessible to contact-center supervisors and fan engagement stakeholders.
The solution integrated fan survey feeds and contact-center datasets into Domo App Studio for unified analysis, preserving source context for semantic and longitudinal analysis. Operational coverage targeted ESPN customer service and fan experience functions across its United States operations, with analytics consumption by contact-center management and fan experience teams. Data science consultancy from RXA@OneMagnify supported pipeline design and model validation during rollout.
Governance centered on standardizing survey analytics processes and establishing handoffs between data science and operations to operationalize NLP outputs into customer service workflows. Implementation emphasized operationalizing applied AI rather than standalone research, aligning model outputs to decisioning workflows used by service and engagement teams. The deployment was described as intended to improve customer service and the fan experience, with no implementation cost or quantitative outcomes disclosed.
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Filevine | Professional Services | 700 | $87M | United States | Domo | Domo Data Science Suite | ML and Data Science Platforms | 2024 | n/a |
In 2024, Filevine implemented Domo Data Science Suite after partnering with Domo to bring real-time analytics and dashboards to law firms across its US customer base. The deployment leverages ML and Data Science Platforms capabilities to surface performance and revenue insights for legal operations teams.
The implementation centers on real-time dashboards, data ingestion and transformation pipelines, and AI-driven analytics capabilities inferred from the vendor announcement rather than an explicit module list. Filevine moved operational datasets such as case records and revenue transactions into the Domo Data Science Suite to enable feature engineering, model orchestration, and visualization workflows typical of ML and Data Science Platforms.
Operational scope targets legal operations and revenue performance analysis for Filevine customers in the United States, exposing actionable metrics to in-house legal operations teams. Governance emphasizes centralized dashboards and role based access to analytics, with the Domo Data Science Suite providing a single analytics layer to standardize performance and revenue reporting across customer accounts.
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Freddy's | Retail | 9751 | $1.8B | United States | Domo | Domo Data Science Suite | ML and Data Science Platforms | 2024 | n/a |
In 2024, Freddy's implemented Domo Data Science Suite. The deployment used the Domo platform to operationalize machine learning workflows under the ML and Data Science Platforms category for operations and marketing across its United States franchise network.
The Domo Data Science Suite implementation centered on menu mix modeling, price optimization, location scoring and the launch of a guest loyalty program, with model training, A/B testing pipelines and production scoring orchestrated on the Domo platform. Functional capabilities included experiment management for A/B testing, automated model scoring for franchise-level insights and feature engineering and model orchestration to support ongoing pricing and promotional analyses.
Delivery was led by Domo’s data science consultants who implemented governance and rollout processes to instrument franchise-level reporting and experiment governance across the US franchise network. The solution improved Freddy's A/B testing processes and provided franchisee-level insights for operations and marketing, while consolidating analytics and scoring workflows on Domo for ongoing model iteration.
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