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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Gabriel India | Automotive | 2329 | $299M | India | SAP | SAP BusinessObjects Profitability and Cost Management | Analytics and BI | 2023 | n/a | In 2023 Gabriel India implemented SAP BusinessObjects Profitability and Cost Management to centralize cost modeling and utility analytics across its automotive manufacturing operations. The implementation positioned SAP BusinessObjects Profitability and Cost Management as the Analytics and BI platform for activity based costing, cost allocation rules, driver based allocations, and scenario level profitability analysis tied to utilities consumption. Configuration work emphasized a data model that supports detailed cost center and resource usage attribution, allocation engines for automated cost distribution, and embedded reporting for plant level operations and finance users. The deployment included interactive dashboards and scorecards for unit level cost visibility, along with configurable allocation rules to support ongoing governance and financial close workflows. The solution integrated live energy and water meter feeds together with online SAP inputs for transactional and master data, establishing an ingestion pipeline and staging area that feeds the profitability engine and reporting layer. Integrations focused on near real time meter ingestion and synchronized SAP transactional inputs so that utility consumption maps directly to cost objects and profitability models. Governance was structured around centralized finance ownership of allocation rules and periodic reconciliation processes with operations and maintenance teams supplying meter validation and exception handling. The stated objective of the implementation is optimised resource utilisation and cost monitoring through consolidated Analytics and BI capability, delivering consistent cost attribution across manufacturing and utilities functions. | |
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23andMe | Healthcare | 816 | $299M | United States | MicroStrategy | MicroStrategy ONE Analytics | Analytics and BI | 2014 | n/a | In 2014, 23andMe implemented MicroStrategy ONE Analytics as its primary Analytics and BI platform. The initiative established a hybrid Oracle 12c and Redshift data warehouse architecture paired with a MicroStrategy based BI layer to support marketing and consumer insights, research disease communities, operations, finance, product and data science. The MicroStrategy ONE Analytics deployment includes a governed semantic layer, centralized enterprise reporting, and self service dashboards for business users. Functional capabilities emphasize ad hoc analytics, scheduled reporting, and analytical datasets organized by domain to serve consumer insights, cohort analysis for research disease communities, operational metrics for operations and finance, and exploratory analytics used by product and data science teams. Data movement and integration are organized around ETL and ELT pipelines that feed the hybrid Oracle 12c and Redshift warehouse, with MicroStrategy consuming curated data marts and analytical schemas. Operational coverage spans marketing, research, operations, finance, product and data science, with the BI layer providing a single access point for cross functional queries and standardized metrics. Governance is implemented through the MicroStrategy semantic layer and role based security to maintain consistent definitions and access controls across departments, accompanied by phased rollout and user enablement to onboard domain analysts. Data stewardship and cataloging are positioned to enforce dataset ownership and change control for analytics artifacts in the Analytics and BI environment. | |
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Distribution | 900 | $299M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2006 | n/a |
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Consumer Packaged Goods | 2000 | $299M | Taiwan | Google Charts | Analytics and BI | 2022 | n/a |
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Non Profit | 1341 | $298M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2011 | n/a |
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Non Profit | 1341 | $298M | United Kingdom | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2008 | n/a |
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Non Profit | 1341 | $298M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Professional Services | 1184 | $298M | United Kingdom | Minisoft | Minisoft ARCS3 | Analytics and BI | 2020 | n/a |
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Media | 766 | $298M | Sweden | Google Looker | Analytics and BI | 2020 | n/a |
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Healthcare | 700 | $297M | United States | Domo | Domo | Analytics and BI | 2015 | n/a |
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