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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Banco Multiva | Banking and Financial Services | 1000 | $150M | Mexico | Google BigQuery | Data Warehouse | 2021 | n/a | In 2021 Banco Multiva implemented Google BigQuery as a centralized Data Warehouse within a GCP-centered microservices and DevOps program in Mexico. The engagement covered 2021 to 2022 under a Microservices and DevOps Architect scope and prioritized cloud native API design and consolidated information management. Google BigQuery was used for information management alongside microservices built with Quarkus and Cloud Functions, and secure APIs were designed and implemented with single sign on to support bank applications. The implementation emphasized schema and dataset organization in BigQuery to support analytical queries and data consolidation from transactional and operational services. Operational integrations included Datastore, SQL Server, and MongoDB as source stores, with containerization and orchestration on Docker, Kubernetes, and Openshift within GCP. Application server and framework support spanned EAP, Jetty, WebLogic, Wildfly, WebSphere Liberty, Spring, Spring Boot, Camel, Quarkus, and Micronaut, aligning runtime components with the Google BigQuery data layer. Infrastructure and deployment were automated with Terraform and Ansible, and CI/CD pipelines and quality tooling were instrumented using Git, Maven, SonarQube, JaCoCo, JUnit, Cucumber, Selenium, Nexus, Docker, Kubernetes, Jenkins, Prometheus, Grafana, and ELK. Governance included API security with SSO and pipeline driven deployment and observability practices to standardize releases and monitoring across banking applications. | ||
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GAVI The Vaccine Alliance | Non Profit | 1000 | $150M | Switzerland | SAP | SAP Analytics Cloud | Analytics and BI | 2020 | n/a | ||
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Utilities | 650 | $150M | Switzerland | SAP | SAP Data Warehouse Cloud | Data Warehouse | 2022 | n/a |
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Utilities | 650 | $150M | Switzerland | SAP | SAP Analytics Cloud | Analytics and BI | 2022 | n/a |
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Manufacturing | 510 | $150M | Switzerland | SAP | SAP BW/4HANA | Data Warehouse | 2019 | n/a |
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Manufacturing | 510 | $150M | Switzerland | SAP | SAP Analytics Cloud | Analytics and BI | 2019 | n/a |
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Manufacturing | 510 | $150M | Switzerland | Google Charts | Analytics and BI | 2023 | n/a |
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Manufacturing | 500 | $150M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Insurance | 492 | $150M | Finland | Microsoft | Microsoft Power BI | Analytics and BI | 2021 | n/a |
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Professional Services | 1000 | $150M | Sweden | Domo | Domo | Analytics and BI | 2024 | n/a |
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