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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Hyundai Genuine | Manufacturing | 200 | $44M | South Korea | Microsoft | Microsoft Power BI | Analytics and BI | 2021 | n/a | ||
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Hyundai Heavy Industries Co | Manufacturing | 12900 | $11.4B | South Korea | Puzzle Data Co. | ProDiscovery | Process Mining | 2020 | n/a | In 2020, Hyundai Heavy Industries Co implemented ProDiscovery, a Process Mining application from Puzzle Data Co. The deployment was positioned to provide operational process visibility across manufacturing and engineering functions at Hyundai Heavy Industries Co. ProDiscovery was configured to deliver core Process Mining capabilities including automated process discovery, conformance checking, variant analysis, performance analytics, and interactive process visualization. The implementation applied process mapping and root cause analysis routines, and produced role-specific dashboards and process models for process owners and plant managers. Data ingestion pipelines were instrumented to capture event logs and operational traces from transactional and shop floor data sources, enabling end-to-end reconstruction of production workflows. The deployment was integrated into Hyundai Heavy Industries Co analytics workflows to support cross-functional process analysis for production planning, quality, and maintenance functions. Governance workstreams established process ownership, standardized conformance review cycles, and a phased deployment approach to embed continuous monitoring and process improvement practices. ProDiscovery Process Mining was thus positioned as an operational analytics layer supporting ongoing process governance and operational decision making. | |
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Manufacturing | 12900 | $11.4B | South Korea | Palantir Technologies | Palantir Foundry | Analytics and BI | 2022 | n/a |
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Automotive | 182 | $2.4B | United Kingdom | IBM | IBM Cognos Business Intelligence | Analytics and BI | 2004 | n/a |
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Automotive | 2000 | $30.0B | United States | MicroStrategy | MicroStrategy ONE Analytics | Analytics and BI | 2014 | n/a |
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Oil, Gas and Chemicals | 1950 | $1.3B | South Korea | Palantir Technologies | Palantir Foundry | Analytics and BI | 2019 | n/a |
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Manufacturing | 5000 | $2.0B | South Korea | Palantir Technologies | Palantir Foundry | Analytics and BI | 2022 | n/a |
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Professional Services | 1000 | $155M | United Kingdom | Crowd Connected | Crowd Connected Location Analytics | Analytics and BI | 2019 | n/a |
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Professional Services | 50 | $5M | United Kingdom | Crowd Connected | Crowd Connected Indoor Positioning | Analytics and BI | 2022 | n/a |
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Healthcare | 810 | $220M | Canada | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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