Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
Apply Filters For 10+ Million Software Purchases
- Government
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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San Joaquin County California | Government | 7717 | $2.2B | United States | UKG | UKG Workforce Central (ex Kronos Workforce Central) | Workforce Management | 2004 | n/a | ||
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San Joaquin County California | Government | 7717 | $2.2B | United States | Oracle | Oracle Analytics Cloud | Analytics and BI | 2018 | Graviton | In 2018 San Joaquin County California engaged Graviton and Oracle on a proof of concept for Oracle Analytics Cloud, targeting Analytics and BI capabilities to enable county-wide data analysis. The engagement established a focused evaluation to determine how Oracle Analytics Cloud could surface insights from the county’s broad data holdings across cloud and on-premises systems. The implementation centered on a centralized data lake feeding Oracle Analytics Cloud, with architecture designed to separate data ingestion, semantic modeling, and presentation layers. Functional capabilities exercised during the proof of concept included data preparation and consolidation into the data lake, centralized semantic models for consistent reporting, and interactive dashboards and self-service visualizations delivered by Oracle Analytics Cloud. Integrations emphasized connectors between the data lake and existing county data sources, enabling cross-departmental analytics for finance, public works, and administrative functions without wholesale replacement of operational systems. The project was run as a proof of concept with Graviton executing technical integration and Oracle providing the analytics platform, and it was explicitly positioned as a low-cost approach to apply Analytics and BI across the county’s troves of data. | |
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Government | 7717 | $2.2B | United States | Appsian | Appsian Security Platform | Data Loss Prevention | 2002 | n/a |
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Government | 7717 | $2.2B | United States | Cisco Systems | Cisco Webex Meetings | Audio Video and Web Conferencing | 2020 | n/a |
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Government | 7717 | $2.2B | United States | Imperva | Imperva Sonar | Web Application Firewalls (WAF) | 2021 | n/a |
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Government | 7717 | $2.2B | United States | Optimizely | Optimizely Ektron CMS | Web Content Management | 2010 | n/a |
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Government | 7717 | $2.2B | United States | Optimizely | Optimizely Ektron eCommerce | eCommerce | 2011 | n/a |
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Government | 7717 | $2.2B | United States | AT&T | AT&T Personal Cloud | Application Hosting and Computing Services | 2012 | n/a |
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Government | 7717 | $2.2B | United States | Imperva | Imperva CDN | Content Delivery Network | 2018 | n/a |
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Government | 7717 | $2.2B | United States | Google Workspace (Formerly Google G-Suite) | Collaboration | 2020 | n/a |
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