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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Ingram Micro | Distribution | 23500 | $48.0B | United States | Microsoft | Microsoft Power Automate (ex Flow) | Process Mining | 2021 | n/a | ||
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Ingram Micro | Distribution | 23500 | $48.0B | United States | Datamatic | Datamatic.io | Analytics and BI | 2020 | n/a | In 2020, Ingram Micro deployed Datamatic.io to automate invoice extraction and validation across its global finance operations, targeting Accounts Payable workflows. The deployment is categorized under Analytics and BI and leveraged Datamatics TruCap+ intelligent document processing capabilities reported in the case study. The implementation focused on automated document capture, optical character recognition, data extraction, and rule-based validation to streamline invoice intake and exception handling. Datamatic.io was configured to support invoice classification and field-level validation, with machine learning models tuned to improve extraction accuracy and reduce manual verification steps within Finance AP processes. Operational coverage included Europe and other regions within Ingram Micro global operations, concentrating on Finance and Accounts Payable teams rather than a single site. The rollout centralized invoice data capture and validation workflows to feed downstream AP processing, reducing the need for distributed manual data entry across regional teams. Governance for the deployment emphasized configuration management and model retraining to preserve extraction performance across diverse invoice formats, with process owners in Finance tasked with exception workflow oversight. Outcomes reported in the case study include approximately 95% extraction accuracy, about 60% faster invoice cycle times, and roughly an 85% reduction in manual effort following the Datamatics TruCap+ deployment via Datamatic.io. | |
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Distribution | 120 | $300M | Austria | Oracle | Oracle Endeca | Analytics and BI | 2018 | n/a |
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Consumer Packaged Goods | 120 | $107M | United Kingdom | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2015 | n/a |
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Consumer Packaged Goods | 120 | $107M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Professional Services | 10 | $1M | United Kingdom | Prezi | Prezi Infogram | Analytics and BI | 2017 | n/a |
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Communications | 71 | $9M | United Kingdom | UTMstat | UTMstat | Analytics and BI | 2020 | n/a |
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Manufacturing | 10 | $1M | Spain | Chartbeat | Chartbeat | Analytics and BI | 2019 | n/a |
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Distribution | 200 | $19M | Taiwan | Google Charts | Analytics and BI | 2021 | n/a |
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Professional Services | 50 | $5M | Germany | Microsoft | Microsoft Power BI | Analytics and BI | 2022 | n/a |
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