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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Spreetail | Retail | 1500 | $1.0B | United States | Contruent | Contruent Reports | Analytics and BI | 2025 | n/a | In 2025, Spreetail implemented Contruent Reports as its enterprise reporting solution. Contruent Reports was deployed to serve as the company Analytics and BI layer, centralizing reporting for ecommerce operations and providing a single point of access for analytics and business stakeholders. The implementation focused on provisioning interactive dashboards, scheduled reporting, and ad hoc query capabilities, built on a semantic data model to unify key retail and operational metrics. Configuration work emphasized role based access, standardized report templates, and visualization libraries aligned with Analytics and BI functional patterns. Governance structures were established to manage a centralized report catalog, permissions workflows, and change control for report updates, aligning ownership with business process owners. Rollout used staged enablement and training for business analysts and operational teams, with ongoing administration assigned to a centralized analytics operations function. | |
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Us Dedicated | Communications | 25 | $1M | United States | Countly | Countly | Analytics and BI | 2015 | n/a | In 2015 US Dedicated implemented Countly to centralize Analytics and BI for its hosting and IaaS operations. The deployment established Countly as the primary application for product and operational analytics across the company’s service delivery stack. The Countly implementation focused on event-level and session analytics, custom dashboards, and real-time metric visualization consistent with Analytics and BI capabilities. Configuration emphasized instrumenting customer-facing control panels and management consoles, defining event taxonomies, and enabling funnel and cohort analysis to support incident investigation and usage pattern analysis. Data collection used SDK and server-side event ingestion patterns to capture usage, performance telemetry, and user behavior, with APIs exposed for downstream reporting and automation. Operational ownership rested with engineering and support teams, who used Countly dashboards for service monitoring and troubleshooting while product stakeholders consumed aggregated reports for feature prioritization. Governance concentrated on standardized event naming, role-based access to dashboards, and phased rollout of instrumentation to minimize disruption in a small 25 person organization. The implementation narrative aligns Countly, Analytics and BI, and core business functions including operations, support, and product analytics without asserting specific partner integrations or quantified outcomes. | |
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Professional Services | 278 | $23M | United States | Crowe | Crowe Analysis Platform | Analytics and BI | 2022 | n/a |
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Banking and Financial Services | 320 | $15M | United States | DataLion | DataLion Executive Suite | Analytics and BI | 2024 | n/a |
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Professional Services | 2400 | $540M | United States | Deepnote | Deepnote | Analytics and BI | 2023 | n/a |
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Professional Services | 170 | $20M | United States | Deepnote | Deepnote | Analytics and BI | 2023 | n/a |
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Healthcare | 31000 | $2.2B | United States | Definitive Healthcare | Definitive Healthcare Atlas All-Payor Claims | Analytics and BI | 2023 | n/a |
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Healthcare | 50000 | $19.8B | United States | Definitive Healthcare | Definitive Healthcare Atlas All-Payor Claims | Analytics and BI | 2023 | n/a |
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Healthcare | 275 | $37M | United States | Definitive Healthcare | Definitive Healthcare Atlas All-Payor Claims | Analytics and BI | 2023 | n/a |
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Healthcare | 50000 | $19.8B | United States | Definitive Healthcare | Definitive Healthcare Atlas Prescription Claims | Analytics and BI | 2022 | n/a |
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