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.
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- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Assurant UK | Insurance | 80 | $117M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a | ||
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ANWB | Professional Services | 3948 | $1.2B | Netherlands | Google BigQuery | Data Warehouse | 2019 | n/a | In 2019 ANWB implemented Google BigQuery as its Data Warehouse and established a centralized analytics store for web and experimentation data. Google BigQuery was positioned to receive event-level exports and to serve as the SQL backbone for conversion research and A B test analysis, supporting both Universal Analytics and the later GA4 event model. The implementation covered schema design, event-level export pipelines, and measurement plan alignment. Workstreams included managing Universal Analytics, migrating to Google Analytics 4, configuring Google Tag Manager, implementing Google Consent Mode, and piloting GTM server-side tagging to improve data quality and consent-aware collection. Integrations were explicitly built between Google BigQuery and Google Analytics exports, Google Tag Manager instrumentation, and reporting layers in Google Data Studio. Teams used queries against Google BigQuery for conversion research, to feed experimentation workflows, and to populate dashboards in Google Data Studio for stakeholders. Operational scope focused on analytics and experimentation functions within ANWB, with processes centered on measurement plan governance and tagging standards. The rollout emphasized tagging governance, consent controls, and a server-side tagging pilot to reshape collection workflows and dataset access procedures. | ||
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Professional Services | 3948 | $1.2B | Netherlands | Tableau Software | Tableau | Analytics and BI | 2019 | n/a |
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Government | 1000 | $250M | Netherlands | Qlik | QlikView | Analytics and BI | 2019 | n/a |
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Professional Services | 1200 | $300M | Netherlands | Google BigQuery | Data Warehouse | 2019 | n/a |
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Professional Services | 16000 | $13.6B | United States | Google BigQuery | Data Warehouse | 2019 | n/a |
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Insurance | 71295 | $244.4B | United States | Amazon Web Services (AWS) | Amazon QuickSight | Analytics and BI | 2019 | Virtusa |
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Insurance | 71295 | $244.4B | United States | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 | Virtusa |
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Banking and Financial Services | 8004 | $21.2B | United States | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 | n/a |
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Banking and Financial Services | 8004 | $21.2B | United States | Google BigQuery | Data Warehouse | 2019 | n/a |
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