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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United States Department of Agriculture (USDA) | Government | 100000 | $230.0B | United States | OpenText | OpenText EIM | Natural Language Processing | 2014 | n/a | In 2014, the United States Department of Agriculture implemented OpenText EIM as an enterprise Natural Language Processing capability. The engagement documented install and configure of OpenText EIM software suites to operationalize automated text processing and information management functions across USDA content holdings. Configuration work focused on ingest and pipeline configuration, indexing and full text search, automated classification and metadata extraction, and entity recognition and text analytics components commonly deployed in Natural Language Processing solutions. OpenText EIM was configured to support taxonomy-driven classification, content lifecycle controls, and search-driven discovery workflows to improve automated tagging and retrieval of unstructured records. Deployment and architecture efforts emphasized integration with USDA content repositories and records management policies, with explicit configuration of governance controls, role-based access, and indexing policies to align with government information governance requirements. The implementation narrative centers on system-level installation and configuration of OpenText EIM, NLP-focused module configuration, and transition of operational responsibility to USDA information management teams. | |
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United States Department of Agriculture (USDA) | Government | 100000 | $230.0B | United States | Totara Learning | Totara LMS | Learning and Development | 2018 | n/a | ||
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Government | 100000 | $230.0B | United States | Appian | Appian | Robotic Process Automation | 2019 | n/a |
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Government | 100000 | $230.0B | United States | HCL Technologies | HCL Digital Experience | Web Content Management | 2011 | n/a |
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Government | 100000 | $230.0B | United States | Akamai | Akamai CDN | Content Delivery Network | 2017 | n/a |
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Government | 100000 | $230.0B | United States | Microsoft | Microsoft Azure Cloud Services | Application Hosting and Computing Services | 2016 | n/a |
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Government | 100000 | $230.0B | United States | Adobe Systems | Adobe Experience Cloud | Customer Experience | 2018 | n/a |
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Government | 100000 | $230.0B | United States | Microsoft | Microsoft Azure CDN | Content Delivery Network | 2019 | n/a |
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Government | 100000 | $230.0B | United States | Alchemer | Alchemer Survey | Customer Experience | 2019 | n/a |
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Government | 100000 | $230.0B | United States | Amazon Web Services (AWS) | Amazon SES | Transactional Email | 2020 | n/a |
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