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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Bank of Montreal | Banking and Financial Services | 53597 | $25.2B | Canada | SAS Institute | SAS Risk and Finance Workbench | Risk Management | 2017 | n/a | In 2017 Bank of Montreal implemented SAS Risk and Finance Workbench for Risk Management to support its IFRS 9 impairment modeling and expected credit loss provisioning program. The deployment centered on using SAS Business Rule Manager within SAS Risk and Finance Workbench to enforce slotting criteria and stage allocation logic that determine 12 month versus lifetime ECL classification, making stage allocation a primary driver of reported ECL outcomes. The implementation combined multiple SAS components, including SAS BRM for rule authoring and publishing, SAS RFW for risk and finance orchestration, SAS IRM for integrated risk management workflows, and SAS Visual Analytics for reporting and sensitivity visualization. Deliverables included creation of input and output vocabularies, rulesets and rule flows published from the BRM UI, a notch framework to compare significant increase in credit risk, base SAS code and macros that replicate UI logic for testing, and scenario automation to run alternative parameter sets. Operational architecture emphasized ETL and data quality assurance feeding the SAS Risk and Finance Workbench, automated job flows capable of concurrent runs under different if else scenarios, and quarterly updates to macroeconomic scenario weighting as provided by GAC. Development and release controls used Bitbucket for code package management, administrators for application deployment, and pre and post deployment validation artifacts including lists of change requests and incident reports for audit readiness. Governance and operationalization covered user acceptance testing to identify and resolve defects, elimination of manual data processes through automation, production and late hour run support for BAU, and maintained documentation to enable agile handoffs. Performance and enhancement activities were explicitly undertaken to reduce run time and disk space, and procedures were implemented to produce exception reports and identify gaps that caused unexpected ECL variances. | |
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Bank of Montreal | Banking and Financial Services | 53597 | $25.2B | Canada | SAS Institute | SAS Credit Risk Management | Risk Management | 2012 | n/a | In 2012, Bank of Montreal implemented SAS Credit Risk Management as part of a coordinated Credit Risk, Firm Wide Stress and IFRS9 program. The engagement centered on SAS CRMB 4.6 conversion work and the implementation of IFRS9 regulatory capabilities using SAS 9.4 modules VA, MIP and BRM, supporting risk reporting and provisioning workflows in the Risk Management domain. The implementation included configuration and testing of SAS Credit Risk Management on a mixed SAS BI 9.3 and 9.4 Windows and Linux stack, with ETL and data orchestration developed in SAS DI Studio and analytical work performed in SAS Enterprise Guide. Technical work covered a proof of concept and conversion of data processing from Oracle to Netezza, setup of Netezza database structures, and environment tuning for SAS CRMB 4.6 to support credit risk scoring and stress testing modules. Integrations were explicit and data centric, connecting SAS CRMB to Oracle and Netezza database engines and embedding ETL pipelines to feed firmwide stress and IFRS9 models. Operational coverage focused on Credit Risk, Firm Wide Stress and IFRS9 project teams, aligning model inputs, regulatory data feeds and analytics consumption for risk and finance functions. Governance and rollout were organized across Phase I through Phase IV deployment tracks, with responsibilities that included SAS administration, solution architecture, and technical leadership for conversion and stabilization activities. The delivery emphasized controlled POC conversion, environment administration and staged deployments to align SAS Credit Risk Management capabilities with IFRS9 requirements and enterprise risk workflows. | |
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Banking and Financial Services | 53597 | $25.2B | Canada | Interac | Interac CertaPay | AML, Fraud and Compliance | 2020 | n/a |
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Banking and Financial Services | 53597 | $25.2B | Canada | Digital Matrix Systems | Digital Matrix Systems | Risk Management | 2024 | n/a |
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Leisure and Hospitality | 418000 | $25.1B | United States | Kyriba | Kyriba Treasury | Treasury Management | 2016 | n/a |
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Banking and Financial Services | 45942 | $25.1B | Austria | EQS Group | EQS Integrity Line (formerly Got Ethics) | Whistleblowing Management | 2017 | n/a |
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Banking and Financial Services | 45942 | $25.1B | Austria | NASDAQ | NASDAQ Calypso Treasury & Liquidity | Treasury Management | 2007 | n/a |
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Banking and Financial Services | 45942 | $25.1B | Austria | Finastra | Finastra Fusion Risk | Risk Management | 2018 | Finexcore |
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Banking and Financial Services | 45942 | $25.1B | Austria | Pegasystems | Pega CLM-KYC | AML, Fraud and Compliance | 2021 | n/a |
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Banking and Financial Services | 45942 | $25.1B | Austria | CGI Group | CGI HotScan360 | Risk Management | 2014 | n/a |
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