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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Alex and Ani | Retail | 1500 | $230M | United States | IBM | IBM Netezza Data Warehouse | Data Warehouse | 2015 | n/a | In 2015, Alex and Ani implemented IBM Netezza Data Warehouse to centralize analytics tied to its company website. Alex and Ani is using IBM Netezza Data Warehouse as a Data Warehouse to consolidate transactional and event data for reporting across its retail and digital channels. The deployment leverages IBM Netezza's massively parallel processing architecture and appliance-based design to accelerate complex SQL analytics and large scale data ingestion. Functional capabilities implemented include high-performance SQL analytics, bulk data loading and staging, columnar storage optimization, and data mart support for merchandising, inventory reconciliation, and website analytics. Operational coverage emphasizes retail and web analytics functions within the United States, with BI and analytics teams consuming consolidated datasets for reporting and decision support. Governance practices aligned to the deployment included centralized ETL pipelines and standardized data models to ensure consistent reporting, while SQL access patterns and BI extracts provide downstream operational consumption. | |
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NORC at the University of Chicago | Non Profit | 2000 | $230M | United States | Tableau Software | Tableau | Analytics and BI | 2022 | n/a | ||
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Government | 2000 | $230M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Professional Services | 1800 | $230M | Germany | Zendesk | Zendesk Explore | Analytics and BI | 2020 | n/a |
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Government | 2000 | $230M | United Kingdom | Oracle | Oracle Transactional Business Intelligence (OTBI) | Analytics and BI | 2022 | n/a |
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Healthcare | 2300 | $230M | United States | Epic Systems | Epic Cosmos | Data Warehouse | 2019 | n/a |
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Banking and Financial Services | 1700 | $230M | Sri Lanka | IBM | IBM Cognos Analytics | Analytics and BI | 2016 | n/a |
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Distribution | 750 | $230M | United States | SplashBI | SplashBI | Analytics and BI | 2018 | n/a |
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Banking and Financial Services | 204 | $230M | United Kingdom | Connexica | Connexica CXFLOWS | Analytics and BI | 2012 | n/a |
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Retail | 2000 | $230M | Czech Republic | Keboola | Keboola Platform | Analytics and BI | 2020 | n/a |
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