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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Brandeis University | Education | 1347 | $356M | United States | Remark Office | Remark Office OMR | Analytics and BI | 2016 | n/a | In 2016 Brandeis University implemented Remark Office OMR in its Center for Youth and Communities to process large scale research survey forms. The deployment targeted Analytics and BI workflows and handled studies with roughly 500 to 3,000+ responses per project, supporting academic research data collection and preprocessing for statistical analysis. Remark Office OMR was configured for in house scanning, optical mark recognition data capture, batch processing, and rule based exception review to flag ambiguous responses. The implementation included direct export of captured datasets into SPSS for downstream analysis, and validation controls were used to minimize manual correction during data ingestion. Operational coverage was focused on the Center for Youth and Communities research staff in the United States, shifting scanning and initial data processing activities to internal teams. Governance changes emphasized exception review workflows and researcher ownership of data export into SPSS, and the deployment reduced external processing costs while improving internal processing efficiency through in house scanning, SPSS export, and exception review features. | |
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Procter & Gamble | Consumer Packaged Goods | 108000 | $84.0B | United States | RepTrak | RepTrak Brand Intelligence | Analytics and BI | 2019 | n/a | In 2019, Procter & Gamble implemented RepTrak Brand Intelligence to track brand reputation, corporate social responsibility perceptions, and marketing effectiveness across its markets. RepTrak Brand Intelligence is an Analytics and BI application used to centralize reputation measurement for marketing and communications functions within the company. The implementation emphasized brand and ESG analytics for marketing and communications, with configuration focused on reputation scoring, trend analysis, dashboard reporting, and campaign-level effectiveness measurement. RepTrak Brand Intelligence provided consolidated dashboards and report automation to support stakeholder reporting and communications planning. Operational usage spanned P&G marketing and corporate communications teams and extended across the companys geographic markets, supporting external reputational studies in which Procter & Gamble has been listed by Reputation Institute and RepTrak as a client. The tool was positioned to inform ongoing reputation monitoring, CSR perception tracking, and comparative benchmarking of brand health. Governance centered on integrating RepTrak outputs into existing marketing and communications reporting cadences, enabling prescribed workflows for monthly and quarterly reputational reviews and executive reporting. The deployment aligned Analytics and BI capabilities with marketing, communications, and corporate responsibility functions to standardize how reputation data informed decision making. | |
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Professional Services | 90400 | $53.8B | United States | RepTrak | RepTrak Brand Intelligence | Analytics and BI | 2019 | n/a |
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Retail | 3000 | $1.0B | United States | RSA Security | RSA Security Analytics | Analytics and BI | 2016 | n/a |
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Education | 1662 | $321M | United States | RSMeans Data Online | RSMeans Data Online Data Insights | Analytics and BI | 2020 | n/a |
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Healthcare | 13000 | $1.5B | United States | RSMeans Data Online | RSMeans Data Online Data Insights | Analytics and BI | 2021 | n/a |
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Oil, Gas and Chemicals | 147 | $1.0B | United States | S&P Global | S&P Global Platts Analytics | Analytics and BI | 2019 | n/a |
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Retail | 20000 | $11.2B | United States | SAS Institute | SAS Advanced Analytics | Analytics and BI | 2021 | n/a |
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Manufacturing | 30000 | $7.5B | United States | SAS Institute | SAS Model Manager | Analytics and BI | 2020 | n/a |
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Professional Services | 90400 | $53.8B | United States | SAS Institute | SAS Visual Text Analytics | Analytics and BI | 2018 | n/a |
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