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
- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Abbey International Finance | Banking and Financial Services | 15 | $1M | Ireland | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | Vertice | In 2019, Abbey International Finance implemented Oracle Analytics Cloud, selecting the platform to consolidate and analyze management information at a group level across its diverse portfolio. The deployment targeted analytics and reporting needs categorized under Analytics and BI and aimed to centralize group reporting while supporting subsidiary level insights. Oracle Analytics Cloud was configured to provide data modeling, data preparation, interactive dashboards, self service analytics, and management reporting capabilities typical of an Analytics and BI implementation. The implementation was delivered with Oracle partner Vertice, with program leadership from Project Manager Liam Gamble, focusing on provisioning group level dashboards and subsidiary reporting artifacts. Operational coverage emphasized Group and subsidiary reporting scopes, consolidating management information feeds without naming underlying source systems. Governance and rollout followed a partner led approach to establish centralized analytics standards, governance for group reporting, and templates for subsidiary consumption. The stated outcome was delivery of more analytics at Group and subsidiary level and further enhanced data driven insights. | |
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Advanced Research Center, Inc | Life Sciences | 50 | $1M | United States | Oracle | Oracle Autonomous Data Warehouse | Data Warehouse | 2019 | n/a | In 2019, Advanced Research Center, Inc implemented Oracle Autonomous Data Warehouse as its Data Warehouse. The deployment structured approximately 2GB of business data sourced from various unstructured inputs into five Object Stores within Oracle Autonomous Data Warehouse, establishing a cloud-native repository for analytics and reporting. Implementation work included provisioning Warehouses and configuring persistent connections between those Warehouses and BI visualization tools, and developing standard SQL query scripts in SQL Developer for self-service access by analysts. The use of Object Stores mapped unstructured content into object-based tables and simplified data modeling, while the SQL Developer scripts standardized common analytical queries for end-users. Operational coverage focused on analytics and research workflows, enabling BI and analytics users and other end-users to access consolidated datasets. The program reduced data accessibility efforts by 40% in time, reflecting explicitly stated operational efficiency gains and improving the cadence of ad hoc analysis and reporting. | |
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Healthcare | 92000 | $18.0B | United States | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a |
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Professional Services | 10 | $1M | France | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a |
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Banking and Financial Services | 75100 | $65.9B | United States | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a |
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Healthcare | 400 | $50M | United States | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a |
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Healthcare | 400 | $50M | United States | Oracle | Oracle Autonomous Data Warehouse | Data Warehouse | 2019 | n/a |
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Professional Services | 150 | $15M | Hong Kong | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a |
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Professional Services | 150 | $15M | Hong Kong | Oracle | Oracle Autonomous Data Warehouse | Data Warehouse | 2019 | n/a |
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Insurance | 87909 | $68.7B | Italy | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a |
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