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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Kley Hertz Brazil | Life Sciences | 850 | $120M | Brazil | Metadados | Metadados Analytics | Analytics and BI | 2021 | n/a | In 2021, Kley Hertz Brazil implemented Metadados Analytics to centralize HR indicators and accelerate decision making across its HR and payroll operations in Brazil. Metadados Analytics was deployed as an Analytics and BI platform to unify workforce metrics, operational KPIs and reporting for HR and payroll functions. The deployment emphasized the Analytics for HR/Payroll capability, configuring dashboards, KPI scorecards and self service reporting to surface payroll run metrics, headcount movement, absenteeism and payroll cost allocations. Implementation work included data modeling and ingestion workflows to consolidate disparate HR and payroll feeds into a single reporting layer, enabling ad hoc analysis and scheduled operational reports. Operational rollout covered HR and payroll teams across Brazil, accompanied by governance changes that standardized HR indicators, instituted role based access controls and established a regular reporting cadence to speed decision loops. Vendor communications and local press coverage reported operational cost reductions, with an article citing realized savings of over R$100k per year in operational costs following the Metadados Analytics deployment. | |
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Octapharma Usa | Life Sciences | 350 | $800M | United States | Model N | Model N Intelligence Cloud | Analytics and BI | 2021 | n/a | In 2021 Octapharma USA implemented Model N Intelligence Cloud. Octapharma USA selected Model N Revenue Cloud for Life Sciences in 2021, explicitly naming Provider Management and Provider Intelligence to modernize provider intelligence and revenue management processes in the United States. The deployment centers on Provider Management and Provider Intelligence modules within Model N Intelligence Cloud, using Analytics and BI capabilities to centralize provider and rebate analytics workflows. Provider Intelligence, described as part of Model N’s Intelligence capabilities, was included in the purchase to improve provider and rebate analytics and to drive greater revenue accuracy. Operational scope is focused on revenue management and provider analytics functions across Octapharma USA in the United States, with the implementation affecting commercial and finance workflows tied to provider contracting, rebate reconciliation, and revenue governance. The configuration emphasizes analytics instrumentation and provider centric reporting, aligning the Model N Intelligence Cloud application to internal revenue management processes without external system integrator attribution. | |
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Life Sciences | 81000 | $63.6B | United States | Panorama Software | Panorama Ruby | Analytics and BI | 2013 | n/a |
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Life Sciences | 30000 | $17.0B | Switzerland | Remark Office | Remark Office OMR | Analytics and BI | 2017 | n/a |
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Life Sciences | 92815 | $55.5B | Germany | Zebra BI | Zebra BI for Power BI | Analytics and BI | 2021 | n/a |
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Life Sciences | 10 | $1M | Switzerland | Umami | Umami | Analytics and BI | 2025 | n/a |
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Life Sciences | 960 | $197M | Canada | Microsoft | Microsoft Power BI | Analytics and BI | 2024 | n/a |
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Life Sciences | 1500 | $200M | China | Palantir Technologies | Palantir Foundry | Analytics and BI | 2023 | n/a |
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Life Sciences | 369 | $62M | Indonesia | Palantir Technologies | Palantir Foundry | Analytics and BI | 2023 | n/a |
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Life Sciences | 3600 | $650M | India | Palantir Technologies | Palantir Foundry | Analytics and BI | 2019 | n/a |
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