ESPN Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by ESPN and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 9500 ESPN employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that ESPN has purchased the following applications: SAP Travel and Expense Management for Expense Management in 2015, MentorcliQ ERG Management for Employee Engagement in 2021, Domo Data Science Suite for ML and Data Science Platforms in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems ESPN is running and its propensity to invest more and deepen its relationship with SAP , PayPal , MentorcliQ or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing ESPN revenues, which have grown to $4.21 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for ESPN intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Travel and Expense Management | Expense Management | ERP Financial Management | n/a | 2015 | 2015 |
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Payment Processing | ERP Financial Management |
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2021 | 2021 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| MentorcliQ | Legacy | MentorcliQ ERG Management | Employee Engagement | HCM | n/a | 2021 | 2021 |
In 2021, ESPN deployed MentorcliQ ERG Management to run an ERG-linked peer mentorship program. MentorcliQ ERG Management is an Employee Engagement application used to operationalize a mentoring program launched through ESPN’s Career Center as an HR and DEI initiative in the United States.
The implementation centered on core MentorcliQ ERG Management capabilities for ERG administration, mentor matching, program enrollment, mentoring session tracking, and feedback collection. Configuration emphasized ERG-linked cohort definitions and matching rules to align mentor assignments to career development objectives and participant profiles.
Integration with ESPN’s Career Center provided a single access and enrollment point for employees, enabling mentoring program visibility inside existing talent and career workflows. Operational ownership sat with HR and DEI teams, with ERG leaders involved in program governance and ongoing participant coordination across ESPN’s United States employee base.
Governance used MentorcliQ ERG Management reporting and participant feedback to manage program lifecycle and engagement. The ERG-linked peer mentorship program logged 5,500 mentoring hours and received an average participant rating of 4.6 out of 5, demonstrating engagement and uptake within the stated scope.
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Employee Engagement | HCM |
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2021 | 2021 |
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Succession and Leadership Planning | HCM |
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2019 | 2019 |
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Workforce Management | HCM |
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2011 | 2011 |
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Workforce Scheduling | HCM |
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2017 | 2017 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Domo | Legacy | Domo Data Science Suite | ML and Data Science Platforms | AI Development | n/a | 2024 | 2024 |
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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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Artificial Intelligence Marketing | AI-Powered Application |
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2020 | 2020 |
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Chatbots and Conversational AI | AI-Powered Application |
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2022 | 2022 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
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2014 | 2018 |
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Analytics and BI | Analytics and BI |
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2024 | 2024 |
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Analytics and BI | Analytics and BI |
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2025 | 2025 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Asset Management | Content Management |
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2019 | 2019 |
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Digital Signing | Content Management |
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2021 | 2021 |
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Enterprise Content Management | Content Management |
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2020 | 2020 |
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CRM
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2016 | 2016 |
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Application Performance Management | ITSM |
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2018 | 2018 |
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IT Service Management | ITSM |
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2021 | 2021 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Database Management | IaaS |
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2011 | 2011 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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