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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Oklahoma City | Government | 3800 | $1.2B | United States | LabWare | LabWare Mobile | Data Warehouse | 2024 | n/a | In 2024, Oklahoma City Water Utilities Trust implemented LabWare Mobile to modernize field data collection for drinking water and wastewater sampling. The deployment was aligned with the organization s Data Warehouse efforts, providing structured field capture that complements laboratory reporting and environmental data aggregation. LabWare Mobile was configured to capture GPS tagged sample information and embedded photo documentation as core functional capabilities. The implementation emphasized mobile sample capture, chain of custody visibility, and direct electronic handoff to laboratory workflows through system integration with LabWare LIMS. Integrations were limited to a direct interface with the city s LabWare LIMS in the environmental and water process area in the United States, enabling near real time data availability between field teams and lab staff. Operational coverage targeted Oklahoma City s Water Utilities Trust field sampling teams and laboratory operations, improving traceability across drinking water and wastewater sampling activities. Governance and process changes focused on replacing manual transcription with electronic capture and enforcing chain of custody controls in field procedures. Reported outcomes in the vendor case post include reduced transcription errors, improved traceability and compliance, and accelerated decision making through real time data access, with detailed usage described in the LabWare case post referenced as the source. | |
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Orange County Sanitation District | Government | 663 | $525M | United States | LabWare | LabWare Mobile | Data Warehouse | 1997 | n/a | ||
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Construction and Real Estate | 250 | $45M | United States | MRI Software | MRI Agora Insights | Analytics and BI | 2024 | n/a |
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Healthcare | 60 | $6M | United States | NextGen Healthcare | NextGen Financial and Operational Analytics | Analytics and BI | 2021 | n/a |
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Professional Services | 750 | $165M | United States | Pendo.io | Pendo Web Analytics | Analytics and BI | 2020 | n/a |
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Utilities | 275 | $30M | United States | SAS Institute | SAS Analytics Pro | Analytics and BI | 2013 | n/a |
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Government | 1000 | $250M | United States | SAS Institute | SAS Visual Statistics | Analytics and BI | 2018 | n/a |
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Healthcare | 2263 | $250M | United States | Perfalytics | Freshpaint | Analytics and BI | 2024 | n/a |
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Professional Services | 40 | $40M | United States | Umami | Umami | Analytics and BI | 2023 | n/a |
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Professional Services | 35 | $3M | United States | Chartbeat | Chartbeat | Analytics and BI | 2010 | n/a |
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