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.
Apply Filters For 10+ Million Software Purchases
- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Deezer | Professional Services | 600 | $494M | France | Tableau Software | Tableau | Analytics and BI | 2020 | n/a | ||
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City of Scottsdale | Government | 2600 | $494M | United States | Lightcast | Lightcast Gazelle | Analytics and BI | 2017 | n/a | In 2017, the City of Scottsdale deployed Lightcast Gazelle to support its economic development outreach and prospecting efforts. The implementation of Lightcast Gazelle, categorized under Analytics and BI, was focused on targeted prospect discovery and multi-touch outreach across priority U.S. metros for business attraction and retention. The economic development team used Lightcast Gazelle to generate targeted prospect lists with firmographic and geographic segmentation, to prioritize opportunities through scoring and qualification workflows, and to coordinate sustained multi-touch outreach. Lightcast Gazelle provided data enrichment and list segmentation capabilities that supported an outbound pipeline cadence and sustained engagement across identified metros. Deployment scope was centered on the City of Scottsdale economic development department and targeted U.S. metropolitan areas, operating as a two-year program that began around 2017 and delivered results into 2019. Governance emphasized programmatic list stewardship and qualification workflows to convert prospects to appointments and site visits. Outcomes documented in the 2019 case study included more than 50 longer-term pipeline leads and over 30 qualified appointments and site visits, including a rapid conversion with General Assembly, demonstrating the application of Lightcast Gazelle within City of Scottsdale economic development outreach. | |
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Government | 2600 | $494M | United States | Mark43 | Mark43 Analytics | Analytics and BI | 2022 | n/a |
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Retail | 290 | $493M | Denmark | Chartbeat | Chartbeat | Analytics and BI | 2010 | n/a |
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Media | 1887 | $493M | China | Microsoft | Microsoft Power BI | Analytics and BI | 2023 | n/a |
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Construction and Real Estate | 756 | $491M | Germany | Alation | Alation Data Intelligence Platform | Analytics and BI | 2019 | n/a |
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Banking and Financial Services | 1534 | $490M | United States | ICE Mortgage Technology | ICE Mortgage Black Knight Actionable Intelligence Platform | Analytics and BI | 2018 | n/a |
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Professional Services | 1650 | $490M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2023 | n/a |
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Retail | 615 | $488M | United States | QPR Software | QPR ProcessAnalyzer | Process Mining | 2019 | n/a |
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Professional Services | 1000 | $488M | United States | Oracle | Oracle OBIA | Analytics and BI | 2014 | n/a |
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