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.
Apply Filters For 10+ Million Software Purchases
- Professional Services
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Allegis Group | Professional Services | 24500 | $15.0B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a | In 2016, Allegis Group deployed the Cloudera Enterprise Platform as a centralized data hub to power talent matching and analytics. The Cloudera Enterprise Platform was provisioned as a Data Warehouse and machine learning platform that ingests and parses a corpus of 55 million résumés to enable automated candidate discovery and search. The implementation emphasizes parsing, enrichment, search, and machine learning driven auto-match capabilities. Allegis Group configured the platform to run automated candidate matching workflows that surface fits for client roles, enabling an auto-match process the company reports is four times faster than prior manual efforts, and to generate attribute inferences from enriched signals. Operational coverage centers on recruiting, talent acquisition, and client-facing placement teams, with the data hub serving as the canonical resume and candidate analytics store. The Cloudera Enterprise Platform hosts the machine learning models and search indexes that support both frontline recruiters and analytics teams, and it is managed under Allegis Group data governance led by the Chief Data Officer and the Global Head of Data, Analytics and Information Management. Governance changes aligned model outputs to recruiting workflows, shifting portions of candidate screening from manual review to algorithmic auto-match and inference. Outcomes stated by Allegis Group include filling more jobs faster and with greater success, and the platform produces derivable inferences such as identifying Basel related experience even when that keyword is not present on a résumé, illustrating expanded analytic coverage enabled by the Cloudera Enterprise Platform. | |
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Jobrapido | Professional Services | 152 | $21M | Italy | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a | ||
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Professional Services | 100 | $10M | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a |
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Professional Services | 1750 | $1.0B | Czech Republic | BigML | BigML | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 80 | $8M | United States | BigML | BigML | ML and Data Science Platforms | 2015 | n/a |
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Professional Services | 30 | $3M | United States | BigML | BigML | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 28000 | $4.7B | Germany | BigML | BigML | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 3210 | $850M | Indonesia | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 200 | $200M | United States | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 100 | $20M | Canada | Sift Science | Sift Science Digital Trust Platform | ML and Data Science Platforms | 2016 | n/a |
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