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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True Alliance | Retail | 500 | $100M | Australia | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2012 | n/a | ||
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J.McLaughlin | Retail | 500 | $50M | United States | Aptos | Aptos Analytics | Analytics and BI | 2017 | n/a | In 2017, J.McLaughlin implemented Aptos Analytics, deploying an Analytics and BI solution from Aptos. The company is listed as a customer on Aptos' public customer listings, confirming vendor adoption. The implementation targeted retail analytics to support merchandising and store performance across J.McLaughlin's United States operations. Aptos Analytics was configured to deliver standardized dashboards, operational reporting and ad hoc analysis. Core functional capabilities emphasized data visualization, KPI management, scheduled report distribution and interactive sales and inventory analytics. These capabilities were aligned to merchandising planning, replenishment analysis and promotional performance review. The deployment provided analytic support for merchandising, inventory planning, store operations and e-commerce business functions. Role based access to Aptos Analytics and segmented dashboards were used to separate analytic views for category managers, store leadership and corporate planning teams. The relationship is J.McLaughlin Aptos Analytics Analytics and BI supporting merchandising, inventory and store operations. Governance centered on establishing KPI ownership, analyst workflows and a phased rollout of dashboards to business users. Training for analysts and category management teams and a managed cadence for report distribution were included in the implementation approach. Aptos Analytics is referenced by the vendor name on customer materials and served as the central analytics platform in this deployment. | |
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Construction and Real Estate | 500 | $30M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2009 | n/a |
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Banking and Financial Services | 500 | $113M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2007 | n/a |
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Banking and Financial Services | 500 | $150M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2013 | n/a |
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Manufacturing | 500 | $650M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2010 | n/a |
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Leisure and Hospitality | 500 | $151M | Ireland | Oracle | Oracle OBIEE | Analytics and BI | 2012 | n/a |
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Government | 500 | $472M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2012 | n/a |
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Media | 500 | $113M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2013 | n/a |
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Professional Services | 500 | $129M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2011 | n/a |
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