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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Tatango | Professional Services | 10 | $1M | United States | Lightdash | Lightdash | Analytics and BI | 2024 | n/a | In 2024, Tatango implemented Lightdash to create a single source of truth for fundraising analytics used by product and fundraising teams in the United States. The deployment positioned Lightdash as the primary Analytics and BI layer for reporting and exploration across fundraising and product metrics. Implementation focused on Lightdash configuration for centralized metric definitions and dashboard delivery, combined with dbt for data modeling and transformation. Lightdash was configured to centralize metric logic, build reusable dashboards, and enable self service exploration for nontechnical product and fundraising users. The rollout integrated Lightdash with dbt models, forming a dbt + Lightdash analytics stack that reduced data team hours by around 40% and sped up dashboard turnaround by approximately 50%. Operational ownership rested with product and fundraising teams in the United States, who used Lightdash dashboards for ongoing fundraising analytics and decision support. Governance and workflow changes established shared metric definitions in Lightdash backed by modeled data from dbt, aligning teams on key metrics and reducing metric disputes. The program emphasized centralized metric stewardship, streamlined dashboard request workflows, and faster iteration cycles for analytics deliverables. | |
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Tradier | Banking and Financial Services | 30 | $6M | United States | LiveVol | LiveVol Analytics | Analytics and BI | 2014 | n/a | In 2014, Tradier integrated LiveVol Analytics by embedding the LiveVol Core module into its brokerage API. The integration targeted options trading and market-data workflows to provide customers with combined options analytics and direct execution. The deployment used LiveVol Core per the company press announcement to provide real-time implied volatility calculations, scanner functionality and trade monitoring, aligning analytics modalities with execution capability. Configuration centered on exposing analytics endpoints through the brokerage API so analytics and execution could be consumed in a single workflow. Integration occurred at the brokerage API layer, delivering LiveVol Analytics as part of Tradier’s Analytics and BI stack and making options analytics available alongside execution services for customers in the United States. The implementation supported market-data ingestion and option analytics distribution tied directly to execution paths. Operational governance consolidated options market-data and trade monitoring into the API services that drive client-facing order flows, shifting workflow ownership toward a unified analytics and execution path. The public announcement describes the outcome as a fully integrated trading experience and low per-contract pricing in the United States. | |
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Banking and Financial Services | 49 | $5M | United States | LiveVol | LiveVol Analytics | Analytics and BI | 2015 | n/a |
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Banking and Financial Services | 800 | $175M | United States | Lodestar Technologies | Lodestar Data Warehouse | Data Warehouse | 2020 | n/a |
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Banking and Financial Services | 541 | $156M | United States | Lodestar Technologies | Lodestar Data Warehouse | Data Warehouse | 2024 | n/a |
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Banking and Financial Services | 300 | $14M | United States | Lodestar Technologies | Lodestar Edge | Analytics and BI | 2015 | n/a |
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Banking and Financial Services | 290 | $40M | United States | Lodestar Technologies | Lodestar Edge | Analytics and BI | 2014 | n/a |
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Banking and Financial Services | 145 | $36M | United States | Lodestar Technologies | Lodestar Edge | Analytics and BI | 2022 | n/a |
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Healthcare | 10 | $1M | United States | MAPILab | HarePoint Analytics for SharePoint Online | Analytics and BI | 2014 | n/a |
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Government | 2600 | $494M | United States | Mark43 | Mark43 Analytics | Analytics and BI | 2022 | n/a |
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