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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US Marine Corps | Government | 170000 | $53.7B | United States | Google Tag Manager | Tag Management | 2015 | n/a | |||
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US Marine Corps | Government | 170000 | $53.7B | United States | SAS Institute | SAS Workforce Analytics | Workforce Analytics | 2020 | n/a | In 2020, the US Marine Corps implemented SAS Workforce Analytics to strengthen workforce planning, readiness and manpower policy analysis. SAS Workforce Analytics was deployed as a Workforce Analytics platform to provide HR and manpower planners with modeling and scenario capabilities that span skills supply, geographic availability and equipment readiness. The implementation emphasized functional modules for skills inventory and geospatial skills mapping, forecasting and what-if scenario modeling, predictive risk propensity scoring for recruitment and retention, cost of workforce modeling, succession pipeline analysis and training path optimization. Configuration focused on correlation, forecasting, optimization and predictive analytics techniques to support churn forecasting, cost correlation models and balanced workforce portfolio analysis. Operational scope covered enlisted manpower planning, occupational specialty analysis, training and logistics planning, and executive decision support for policy changes. The platform ingests and normalizes personnel, training and asset readiness inputs to enable joint analysis of people and equipment readiness, and it supports use cases such as assessing promotion timing, evaluating retention risk and modeling the availability of required skills by location. Governance centered on model-driven what-if analysis used by HR leaders and executive decision makers to examine promotion rates, retention scenarios and manpower gaps in specific occupational fields. The US Marine Corps used SAS Workforce Analytics to conduct in-depth statistical assessments of proposed policy changes affecting promotions to E5, to examine promotion rates and to inform manpower planning and training sequencing decisions. | |
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Government | 10 | $1M | United States | Microsoft | Microsoft 365 | Collaboration | 2019 | n/a |
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Government | 10 | $1M | United States | Microsoft | Microsoft Azure Cloud Services | Application Hosting and Computing Services | 2019 | n/a |
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Government | 10 | $1M | United States | Cloudflare | Cloudflare CDN | Content Delivery Network | 2022 | n/a |
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Government | 10 | $1M | United States | GoDaddy | GoDaddy Webmail | Collaboration | 2014 | n/a |
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Government | 10 | $1M | United States | Google Tag Manager | Tag Management | 2022 | n/a |
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Government | 669 | $140M | United States | Amazon Web Services (AWS) | Amazon EC2 | Application Hosting and Computing Services | 2019 | n/a |
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Government | 669 | $140M | United States | Microsoft | Microsoft Azure Cloud Services | Application Hosting and Computing Services | 2019 | n/a |
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Government | 669 | $140M | United States | Akamai | Akamai CDN | Content Delivery Network | 2019 | n/a |
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