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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Carnival | Leisure and Hospitality | 40000 | $3.0B | United States | SAS Institute | SAS Forecast Server | Analytics and BI | 2021 | n/a | In 2021, Carnival implemented SAS Forecast Server to centralize forecasting for food and beverage and other onboard consumables. The deployment is positioned within the Analytics and BI domain and shifted forecasting practice from backward looking analysis to forward looking cost forecasting for onboard consumables and provisioning. SAS Forecast Server was configured to support automated time series modeling, automated model selection, scheduled batch forecasting, and scenario based forecast runs, leveraging the product's model management and scoring capabilities. The implementation emphasized repeatable forecasting pipelines and a unified forecasting repository, with SAS Forecast Server used as the canonical forecasting engine across use cases. Operational intake focused on onboard consumption and cost data feeds, with forecasts consumed by food and beverage operations and finance cost planning workflows. The scope covered forecasting for provisioning and onboard consumables, and the platform ingests operational usage and cost streams to produce roll forward forecasts used in planning cycles. Governance established centralized forecast ownership, scheduled forecast cadences, and standard model validation controls to move the organization from ad hoc historical analysis to managed forward looking cost forecasting. Carnival reported improved scalability from the unified SAS Forecast Server implementation, enabling consistent forecasting processes across onboard operations and finance. | |
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Penske Corporation | Automotive | 50000 | $26.0B | United States | SAS Institute | SAS Forecast Server | Analytics and BI | 2022 | n/a | In 2022, Penske Corporation deployed SAS Forecast Server to establish a centralized forecasting capability for revenue and financial planning. The implementation leveraged SAS Forecasting Studio functionality to construct hierarchical time-series models that support month-to-month business planning and multi-year forecasts, and the work is classified under the Analytics and BI category. The implementation emphasized hierarchical time-series modeling, model selection and validation workflows, and automated model runs to generate iterative forecast scenarios, using SAS Forecast Server as the execution and orchestration layer. Configuration centered on reusable model templates and forecast hierarchies that map to Penske revenue streams and financial planning dimensions, enabling standardized forecast production across finance teams. Rollout was executed as a multi-year program that achieved marked success after about three years, with governance focused on model governance, version control, and scheduled retraining to maintain forecast consistency across planning cycles. Penske used the SAS Forecast Server deployment to improve the rigor of revenue and financial planning processes, enabling more accurate month-to-month planning and multi-year forecasting outcomes. | |
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Automotive | 7800 | $1.4B | United States | New Generation Software | NGS IQ | Analytics and BI | 2015 | n/a |
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Oil, Gas and Chemicals | 5700 | $5.4B | United States | Oracle | Oracle Crystal Ball | Analytics and BI | 2004 | n/a |
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Consumer Packaged Goods | 16500 | $11.7B | United States | SAP | SAP BusinessObjects Explorer | Analytics and BI | 2009 | n/a |
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Transportation | 1700 | $750M | United States | SAP | SAP BusinessObjects Explorer | Analytics and BI | 2011 | n/a |
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Healthcare | 18589 | $3.1B | United States | Synaptris | Synaptris Kezava | Analytics and BI | 2022 | n/a |
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Transportation | 74800 | $19.9B | United States | Synaptris | Synaptris Kezava | Analytics and BI | 2020 | n/a |
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Government | 10169 | $2.2B | United States | Synaptris | Synaptris Kezava | Analytics and BI | 2018 | n/a |
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Professional Services | 13200 | $3.8B | United States | MachEye | MachEye | Analytics and BI | 2022 | n/a |
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