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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United Al Saqer Group UASG | Professional Services | 4000 | $500M | United Arab Emirates | Oracle | Oracle Analytics Cloud | Analytics and BI | 2019 | n/a | ||
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Barmer GEK | Insurance | 16000 | $3.9B | Germany | SAP | SAP Predictive Analytics | Analytics and BI | 2019 | n/a | In 2019 Barmer GEK implemented SAP Predictive Analytics to strengthen its Analytics and BI capabilities for insurer analytics. The deployment positioned SAP Predictive Analytics as a centralized tool for predictive modeling and model scoring across the organization, supporting actuarial and claims analytics workflows as well as customer segmentation use cases. The implementation emphasized SAP Predictive Analytics modules for data preparation, automated model building, model management, and batch scoring, with configuration focused on repeatable model pipelines and a model repository for lifecycle control. The project contrasted SAP Predictive Analytics and R, noting that SAP Predictive Analytics delivers a visual, workflow oriented environment and automated feature engineering and deployment paths, while R remains a code first platform offering extensible statistical and custom modeling capabilities. Governance was organized around an analytics center of excellence style operational model, with structured model validation, version control, and access controls to align business and technical stakeholders. The rollout prioritized embedding predictive scoring into existing underwriting and claims decisioning processes, and training both business analysts and data scientists on tool workflows to ensure operational adoption. | |
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Insurance | 16000 | $3.9B | Germany | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2019 | n/a |
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Aerospace and Defense | 8403 | $1.9B | United Kingdom | SAP | SAP Analytics Cloud | Analytics and BI | 2019 | n/a |
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Aerospace and Defense | 8403 | $1.9B | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Automotive | 4117 | $3.3B | United Kingdom | Tableau Software | Tableau | Analytics and BI | 2019 | n/a |
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Automotive | 2508 | $600M | United Kingdom | SAP | SAP Analytics Cloud | Analytics and BI | 2019 | n/a |
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Consumer Packaged Goods | 166 | $381M | United Kingdom | Tableau Software | Tableau | Analytics and BI | 2019 | n/a |
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Consumer Packaged Goods | 166 | $381M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Consumer Packaged Goods | 166 | $381M | United Kingdom | Domo | Domo | Analytics and BI | 2019 | n/a |
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