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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Jonah Energy | Oil, Gas and Chemicals | 400 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a | ||
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Altamont Energy | Oil, Gas and Chemicals | 25 | $5M | United States | Peloton | Peloton ProdView | Data Warehouse | 2018 | n/a | In 2018, Altamont Energy deployed Peloton ProdView as its Data Warehouse for production and well level data. The implementation targeted operational data needs for field teams working in the Uinta Basin and office teams in Denver, Colorado. Peloton ProdView was configured to ingest and reconcile production records, support manual data cleanup workflows, and export reconciled datasets for reporting. Configuration emphasized data ingestion from spreadsheets and industry feeds, reconciliation of well attributes and production time series, and support for manual corrections performed by geological staff. Operational workflows show Peloton ProdView used alongside Geographix, BOLO, WellView, IHS, and PETRA, with shapefile import and export used for mapping and spreadsheets used to generate board presentation slides. Geology, land, and production functions relied on ProdView outputs to maintain cross sections, lease and well records, and to produce weekly production graphs for leadership review. Governance centered on designated data stewardship and routine reconciliation, with geology personnel and the land department managing source updates in Geographix and PETRA while cleaning the ProdView database after an acquisition. Peloton ProdView acted as the central Data Warehouse, linking field level collection, third party data feeds, and presentation level exports for operational and executive consumption. | |
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Banking and Financial Services | 1400 | $750M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Insurance | 190 | $35M | South Africa | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Construction and Real Estate | 802 | $122M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Education | 7298 | $92M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Transportation | 310 | $30M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Education | 5100 | $618M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Professional Services | 1600 | $370M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Professional Services | 1831 | $249M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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