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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Communications-Electronics Research, Development and Engineering Center / Army Research Laboratory | Professional Services | 1285 | $252M | United States | Palantir Technologies | Palantir Gotham | Analytics and BI | 2020 | n/a | In 2020, the Communications-Electronics Research, Development and Engineering Center / Army Research Laboratory contracted Palantir Technologies to deploy Palantir Gotham as part of an Analytics and BI initiative focused on artificial intelligence and machine learning research and development. The award was structured as a $91.2 million two year contract to accelerate the laboratory’s AI and machine learning capabilities through software-enabled data integration and model curation. Palantir Gotham and Palantir Foundry are described as the primary software platforms in the engagement, with Palantir Gotham configured to provide analytics and BI capabilities for intelligence style workflows. Implementation work centers on data integration, preparing data into uniform and open formats, and data curation pipelines to support training of AI models, with configuration emphasis on data lineage, access controls, and contained model training workflows. The deployment scope explicitly covers the U.S. Army Research Laboratory research community and field users, connecting government researchers, frontline operators, and Palantir’s partnering technology vendors to a common data layer. Integrations focus on unifying all relevant data sources into a managed environment, enabling cross functional use by R and D, AI and machine learning teams, and operational stakeholders without naming specific third party systems. Governance and operationalization plans emphasize iterative engagement with users in the field to shorten development cycles and accelerate mission delivery, reflecting the laboratory objective to iterate quickly and deliver mission impact faster than traditional approaches. Palantir Gotham will be used to curate datasets and operationalize model training over the contract period, supporting the laboratory’s AI and machine learning research agenda. | |
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Digitas | Professional Services | 5500 | $252M | United States | Internet Brands | PulsePoint Analytics | Analytics and BI | 2023 | n/a | In 2023, Digitas implemented PulsePoint Analytics within its Digitas Health practice to establish clinician-level measurement for search marketing programs. PulsePoint Analytics, an Analytics and BI solution, was deployed to provide HCP engagement measurement and improved attribution for United States campaigns. The implementation centered on PulsePoint’s HCP365 measurement module, which was configured to capture NPI level HCP engagement signals and link those signals to paid search touchpoints. Functional workflows emphasized measurement, attribution, and campaign optimization, with analytic instrumentation feeding marketing analytics and search performance reporting. Operational scope focused on Digitas Health search campaigns in the United States, and the system supported marketing and analytics teams responsible for campaign optimization and site traffic analysis. The rollout produced more granular attribution and increased site traffic as reported by the vendor, and it required adapting attribution workflows and reporting governance to incorporate NPI level measurement. | |
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Government | 800 | $252M | United States | Clear Impact | Clear Impact Scorecard | Analytics and BI | 2014 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2010 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2015 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | Tableau Software | Tableau | Analytics and BI | 2020 | n/a |
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Professional Services | 1300 | $251M | United States | Tableau Software | Tableau | Analytics and BI | 2020 | n/a |
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Consumer Packaged Goods | 765 | $251M | Romania | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Professional Services | 1085 | $250M | United States | Prezi | Prezi Infogram | Analytics and BI | 2021 | n/a |
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