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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Signetic | Healthcare | 23 | $2M | United States | Microsoft | Microsoft Azure Operational Insights | Analytics and BI | 2025 | n/a | In 2025, Signetic implemented Microsoft Azure Operational Insights as a central Analytics and BI capability to monitor and analyze telemetry for its pharmacy and clinic workflow platform. The deployment targeted telemetry that supports claims processing, operational reliability, and enabling scale for mass vaccination sites. The implementation maps Microsoft Azure Operational Insights to Azure Log Analytics for centralized log analytics and monitoring, and leverages Application Insights for application performance telemetry. Configuration work included provisioning log analytics workspaces, ingest pipelines for structured and unstructured telemetry, custom query rules for investigative diagnostics, alert rules for operational thresholds, and dashboards to visualize throughput and error signals. Operational coverage encompassed Signetic’s pharmacy operations, clinic workflow modules, and mass vaccination site orchestration, with telemetry collected from backend services, API endpoints, and processing jobs. Integrations focused on feeding service and transaction telemetry into the Azure Log Analytics workspace to provide visibility for claims processing workflows and to accelerate troubleshooting across clinical and site operations. Governance emphasized role based access control within Azure, alert ownership and incident response workflows, and a staged rollout of monitoring controls across clinical and vaccination sites. Microsoft Azure Operational Insights established a standardized Analytics and BI monitoring layer for Signetic to centralize log analysis, operational alerts, and forensic diagnostics for its healthcare platform. | |
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Axle Ai | Media | 27 | $6M | United States | Microsoft | Microsoft Azure Video Indexer | Analytics and BI | 2018 | n/a | In 2018, Axle Ai integrated Microsoft Azure Video Indexer to automatically tag video files and segments, embedding the application within its Analytics and BI workflows for media production. The Microsoft Azure Video Indexer implementation connected to axle Video asset ingestion and catalog processes to enable automated metadata extraction and segment-level indexing across its media libraries in the United States. The deployment concentrated on automated tagging, segment analysis, and rapid search capabilities to accelerate post-production and editorial workflows for broadcasters and content producers. Integration enabled metadata-driven curation and monetization use cases by making clip discovery faster and reducing manual labor, and governance changes emphasized consistent metadata standards and search-first curation across media and production teams. | |
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Transportation | 7500 | $1.7B | United States | Microsoft | Microsoft SQL Server BI | Analytics and BI | 2011 | n/a |
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Education | 15 | $3M | United States | MightyNetworks | Mighty Insights | Analytics and BI | 2023 | n/a |
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Education | 13 | $10M | United States | MightyNetworks | Mighty Insights | Analytics and BI | 2024 | n/a |
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Life Sciences | 350 | $800M | United States | Model N | Model N Intelligence Cloud | Analytics and BI | 2021 | n/a |
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Education | 25 | $2M | United States | openSIS | openSIS Analytics and Data Visualization | Analytics and BI | 2008 | n/a |
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Education | 50 | $2M | United States | openSIS | openSIS Analytics and Data Visualization | Analytics and BI | 2022 | n/a |
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Banking and Financial Services | 25 | $20M | United States | OptifiNow | OptifiNow Business Intelligence | Analytics and BI | 2023 | n/a |
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Leisure and Hospitality | 418000 | $25.1B | United States | Oracle | Oracle Hospitality OPERA Reporting and Analytics | Analytics and BI | 2024 | n/a |
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