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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American International Group (AIG) | Insurance | 25000 | $47.3B | United States | SS&C Technologies | SS&C Algorithmics (formerly IBM Algorithmics) | Risk Management | 2010 | n/a | In 2010 AIG implemented SS&C Algorithmics for Risk Management to support the Investment Group’s portfolio analytics and enterprise risk processes. SS&C Algorithmics was provisioned as the primary risk calculation and scenario generation engine used by the Asset Management and Enterprise Risk Management groups, with direct engagement from risk officers and quantitative analysts. The implementation centered on the Algorithmics Suite 4.7x and a supporting J2SE 1.6 Java/XML ETL framework, extended to ingest positions and portfolio data across multiple fixed income asset classes. Functional capabilities implemented included risk calculation engines, scenario generation, market risk and credit spread analytics, and on-demand credit spread curve generation implemented as a Java module using linear and weighted interpolation techniques. Operational integrations tied SS&C Algorithmics to Oracle 11g for relational persistence, PL/SQL routines for data access, and Sungard FAME time series storage accessed via the FAME TimeIQ API for historical market data. The runtime footprint spanned Sun Solaris and Red Hat Linux servers and included C++ components where native performance was required, reflecting a hybrid multi-tier architecture combining Algorithmics services, ETL processing, and relational and time-series stores. Governance and delivery followed an Iterative and Waterfall blended approach, with rollout and configuration work driven by direct collaboration between developers, risk officers, and quant analysts. The project scope emphasized embedding Algorithmics into Asset Management workflows for asset and liability analytics, and operationalizing ETL and curve-generation modules to support portfolio-level risk measurement and scenario analysis. | |
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Aflac | Insurance | 12785 | $18.8B | United States | SS&C Technologies | SS&C Algorithmics (formerly IBM Algorithmics) | Risk Management | 2013 | n/a | In 2013, Aflac implemented SS&C Algorithmics (formerly IBM Algorithmics) for Risk Management. The engagement rebuilt the vendor relationship with Algorithmics, recognizing Aflac as one of Algorithmics' largest insurance clients in North America and positioning the vendor to retain and expand its footprint in Aflac's enterprise risk management. The deployment provisioned SS&C Algorithmics as the enterprise risk management platform, configured to support risk modeling, scenario analysis, regulatory capital calculation, and risk aggregation and reporting workflows. Implementation scope covered actuarial and finance business functions and centralized risk measurement across insurance operations in North America, accompanied by standardized model governance and consolidated risk data workflows to enable ongoing expansion of analytic coverage by the vendor. | |
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Banking and Financial Services | 13900 | $5.5B | United States | SS&C Technologies | SS&C Algorithmics (formerly IBM Algorithmics) | Risk Management | 2013 | n/a |
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Leisure and Hospitality | 5000 | $1.5B | United States | Altametrics | Altametrics Cash Management | Treasury Management | 2018 | n/a |
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Leisure and Hospitality | 1500 | $200M | United States | Altametrics | Altametrics Cash Management | Treasury Management | 2016 | n/a |
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Retail | 15000 | $3.0B | United States | Altametrics | Altametrics Cash Management | Treasury Management | 2017 | n/a |
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Consumer Packaged Goods | 3151 | $1.3B | United States | Gimmal | Gimmal Sherpa Altitude IG | Governance, Risk and Compliance | 2019 | n/a |
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Life Sciences | 1400 | $1.9B | Canada | Gimmal | Gimmal Sherpa Altitude IG | Governance, Risk and Compliance | 2015 | n/a |
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Leisure and Hospitality | 500 | $545M | United States | Gimmal | Gimmal Sherpa Altitude IG | Governance, Risk and Compliance | 2016 | n/a |
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Healthcare | 114000 | $42.0B | United States | ION Investment Group | ION IT2 Treasury | Treasury Management | 2018 | n/a |
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