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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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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CommBank | Banking and Financial Services | 48580 | $18.7B | Australia | BioCatch | BioCatch | AML, Fraud and Compliance | 2024 | n/a | In 2024 CommBank implemented BioCatch as a founding member of BioCatch Trust Australia, deploying the BioCatch application within the AML, Fraud and Compliance category to participate in an Australia wide intelligence sharing initiative launched in November 2024. The program targets the payments and financial crime area and focuses on assessing the trustworthiness of beneficiary accounts before payments are processed. The deployment centers on behavior and device based analytics and trust scoring, with BioCatch configured to analyze session and device signals to produce beneficiary account risk assessments. Core functional capabilities implemented include behavioral profiling, device fingerprinting, and account trust scoring, applied at the pre payment verification step to identify APP and social engineering scam risk patterns. Operational coverage extends across participating banks in Australia and impacts payments operations, fraud prevention teams, and beneficiary verification workflows within CommBank. BioCatch Trust Australia operates as an inter bank intelligence sharing network that enables peers to exchange anonymized behavior and device signals for collective decisioning during payment authorization. Governance for the initiative is structured around the inter bank BioCatch Trust Australia network, with shared protocols for contribution and consumption of behavioral intelligence and beneficiary trust assessments. The rollout enabled real time risk assessments to help reduce APP and social engineering scam losses for participating banks, supporting coordinated fraud risk control across the Australia wide banking membership. | |
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CommBank | Banking and Financial Services | 48580 | $18.7B | Australia | SAS Institute | SAS Anti-Money Laundering | AML, Fraud and Compliance | 2009 | n/a | In 2009, Commonwealth Bank of Australia extended its Financial Crimes Platform to include SAS Anti-Money Laundering. The SAS Anti-Money Laundering implementation centralized fraud detection and transaction monitoring within a single analytics platform for finance and compliance operations in Australia. The deployment consolidated enterprise transaction data and AML capabilities onto the SAS analytics platform to provide unified analytic workflows and a single source for alerts and case generation. Functional capabilities implemented included rules-based and analytics-driven detection, transaction monitoring, case management for investigations, and centralized scoring and alerting consistent with the AML, Fraud and Compliance category. The architecture emphasized a centralized analytics core that supported data ingestion, normalization, model execution, and investigation workflows, enabling consolidated surveillance across the bank's finance and compliance functions. Governance changes concentrated oversight and streamlined investigative processes to improve efficiency, and the initiative aimed to improve detection and streamline investigations by consolidating data and AML capabilities onto the SAS analytics platform. | |
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Banking and Financial Services | 7757 | $18.6B | United Kingdom | Oracle | Oracle Treasury | Treasury Management | 2015 | n/a |
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Banking and Financial Services | 7757 | $18.6B | United Kingdom | Fincad | FINCAD Analytics | Risk Management | 2015 | n/a |
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Banking and Financial Services | 7757 | $18.6B | United Kingdom | Oracle | Oracle Financial Services Analytical Applications | Risk Management | 2020 | n/a |
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Banking and Financial Services | 51800 | $18.6B | United States | S&P Global | S&P IHS Markit KY3P | AML, Fraud and Compliance | 2023 | n/a |
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Banking and Financial Services | 51800 | $18.6B | United States | Asurity Technologies | Asurity RisKExec | Risk Management | 2017 | n/a |
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Oil, Gas and Chemicals | 3137 | $18.6B | Switzerland | ION Investment Group | ION Wallstreet Suite | Treasury Management | 2020 | n/a |
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Oil, Gas and Chemicals | 3137 | $18.6B | Switzerland | ION Investment Group | ION IT2 Treasury | Treasury Management | 2020 | n/a |
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Insurance | 50000 | $18.5B | Portugal | OneTrust | OneTrust Cookie Consent | Governance, Risk and Compliance | 2021 | n/a |
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