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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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Johnson & Johnson | Life Sciences | 138100 | $88.8B | United States | ATS Global | Atlas Play | Process Mining | 2020 | n/a | In 2020, Johnson & Johnson implemented Atlas Play from ATS Global to establish Process Mining capabilities. Atlas Play was deployed to ingest event-level process telemetry and to provide process discovery, conformance checking, variant analysis and interactive performance dashboards across targeted operational workflows. The deployment architecture centered on a hosted Atlas Play instance connected to enterprise event stores and operational telemetry feeds, with data ingestion pipelines normalizing event logs and timestamp sequences for accurate process reconstruction. Functional modules implemented included process discovery, conformance analysis, variant visualization, root cause exploration and KPI dashboards, configured to support iterative model enrichment and automated anomaly detection workflows. Operational coverage emphasized core life sciences business functions such as manufacturing, supply chain and quality assurance, where process transparency and compliance validation are priorities. Governance was organized around a centralized process mining center of excellence and defined process owner workflows for model validation, change control and event data access, producing standardized process artifacts and centralized analytics for process improvement teams. | |
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Bristol Myers Squibb | Life Sciences | 34100 | $48.3B | United States | Bonitasoft | Bonita Process Mining | Process Mining | 2018 | n/a | In 2018, Bristol Myers Squibb implemented Bonita Process Mining as a Process Mining initiative to digitize paper based analytical workflows within its R&D organization. The deployment targeted scientific analytical processes that had relied on manual spreadsheets and hand drawn models, shifting the execution and capture of those workflows into an instrumented process environment managed by R&D IT and scientific teams. Bonita Process Mining was used to instrument end to end scientific process flows and to provide a single source for event level process data. The implementation leveraged core Process Mining capabilities for process discovery, visual process mapping, variant analysis, and process centric analytics to replace manual modeling and spreadsheet driven consolidation. Configuration focused on converting paper based artifacts into structured inputs and on automating process steps previously performed by hand, enabling scientists to move from operational data assembly to interpretation and analysis. The system was configured to support iterative refinement of process models and to surface bottlenecks and variation in laboratory analytical workflows. Governance and operational ownership were aligned with R&D IT and scientific leadership to sustain digitized process artifacts and to manage ongoing model updates. The rollout eliminated manual spreadsheets and hand drawn models, and shifted day to day work away from low value tasks to data interpretation for scientific teams. Associate Director R&D IT at Bristol Myers Squibb reported time savings equivalent to 5 FTEs as a direct outcome of automating the paper based analytical process with Bonita Process Mining. | |
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Life Sciences | 8000 | $1.7B | Sweden | Celonis GmbH | Celonis Execution Management Platform | Process Mining | 2018 | n/a |
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Life Sciences | 71400 | $23.5B | Germany | Mehrwerk | MPM ProcessMining | Process Mining | 2020 | n/a |
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Life Sciences | 30000 | $17.0B | Switzerland | Microsoft | Microsoft Power Automate (ex Flow) | Process Mining | 2021 | n/a |
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Life Sciences | 6389 | $2.5B | Italy | IBM | myInvenio | Process Mining | 2019 | n/a |
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Life Sciences | 2000 | $300M | Poland | Pegasystems | Pega BPM | Process Mining | 2020 | n/a |
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Life Sciences | 1416 | $818M | United Kingdom | QPR Software | QPR ProcessAnalyzer | Process Mining | 2019 | n/a |
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Life Sciences | 55000 | $56.3B | United States | TIBCO Software | TIBCO Cloud Nimbus | Process Mining | 2015 | n/a |
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Life Sciences | 82878 | $47.7B | France | Ultimus | Ultimus Digital Process Automation Suite | Process Mining | 2018 | n/a |
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