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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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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AbbVie | Life Sciences | 55000 | $56.3B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a | In 2019 AbbVie implemented IBM Netezza Data Warehouse. The IBM Netezza Data Warehouse deployment serves as a centralized Data Warehouse in AbbVie's enterprise analytics environment, consolidating structured datasets to support research analytics, clinical cohort analysis, and commercial reporting across the organization. The implementation leverages IBM Netezza Data Warehouse platform capabilities for mass data ingestion, MPP query processing, and schema based data modeling to enable standardized ETL staging, dimensional reporting, and ad hoc analytics. Operational scope covers R&D, clinical operations and commercial analytics teams, with governance organized around role based access, standardized data models, and centralized metadata management to support cross functional data consumers. Integrations are organized as upstream clinical, research and business source systems feeding ETL and staging pipelines, with downstream consumption by business intelligence and analytics applications consistent with Data Warehouse architectures. | |
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Humana | Insurance | 65680 | $117.8B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a | ||
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Insurance | 802 | $750M | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Healthcare | 2900 | $1.3B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Insurance | 24000 | $68.5B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Insurance | 104900 | $171.3B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Banking and Financial Services | 38062 | $20.3B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Distribution | 4000 | $5.0B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Banking and Financial Services | 13800 | $15.5B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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Retail | 32000 | $7.9B | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2019 | n/a |
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