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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LogMeIn | Professional Services | 3936 | $1.3B | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a | ||
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Experian | Professional Services | 23300 | $7.5B | Ireland | H2O.ai | H2O Open Source ML | ML and Data Science Platforms | 2016 | n/a | In 2016 Experian implemented H2O Open Source ML into its Analytical Sandbox. The H2O Open Source ML deployment serves as an example of ML and Data Science Platforms used to model and predict billions of rows of high dimensional data drawn from multiple sources and formats. The implementation emphasized core machine learning and deep learning capabilities, including advanced predictive modeling and large scale model training. H2O Open Source ML was configured to support analyst workflows for model development, evaluation, and scoring, enabling on demand data insights and iterative experimentation within the sandbox environment. Deployment architecture centered on the Analytical Sandbox as the execution and experimentation layer, ingesting heterogeneous data feeds in various formats for feature engineering and model training. The platform was applied across analytics teams to generate regional trend analysis, consumer transactional insight, and marketing opportunity signals, with processing designed to handle high volume, high dimensional datasets. Governance and operational processes focused on empowering analysts with self service access to model outputs and on demand intelligence, while retaining centralized data sourcing through the sandbox. The H2O Open Source ML implementation enabled Experian to provide higher quality intelligence to analysts and business stakeholders to inform regional and marketing use cases, without introducing quantified outcomes beyond the stated capability to deliver on demand insights. | |
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Professional Services | 300 | $90M | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
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Professional Services | 15000 | $3.5B | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
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Professional Services | 4500 | $2.0B | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 450 | $50M | Italy | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2017 | n/a |
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Professional Services | 250 | $22M | Australia | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2016 | n/a |
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Professional Services | 88000 | $15.4B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2017 | n/a |
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Professional Services | 3400 | $889M | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2017 | n/a |
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Professional Services | 25000 | $6.8B | Canada | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2017 | n/a |
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