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 |
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Royal London Unit Trust Managers | Banking and Financial Services | 4400 | $13.3B | United Kingdom | Willis Towers Watson | Willis Towers Watson Emblem | Analytics and BI | 2019 | n/a |
In 2019, Royal London Unit Trust Managers licensed Willis Towers Watson’s Radar Live quotation software for its protection life business and implemented Willis Towers Watson Emblem as part of an Analytics and BI initiative to strengthen pricing analytics and predictive capabilities. The deployment targeted intermediary quoting workflows, with the explicit objective of deploying analytics-driven pricing to improve responsiveness and governance in intermediary quoting.
Willis Towers Watson Emblem was configured to deliver predictive modelling and pricing analytics alongside quotation automation, incorporating model scoring, pricing parameter management, and analytics dashboards typical of Analytics and BI platforms. Configuration focused on integrating actuarial scoring outputs into quote decisioning and on surfacing pricing variance and governance controls for intermediary channels.
Operational coverage centered on the protection life business and intermediary distribution functions, touching pricing, product and distribution governance, and quote-generation operations. Rollout was structured around licensed software provisioning and configuration for quotation workflows, with governance controls added to enforce pricing approvals and improve traceability of quote changes.
The program emphasized analytic-driven pricing and strengthened governance in intermediary quoting as stated objectives, with Emblem providing predictive modelling and analytics capabilities to support those goals. No implementation partner is recorded for this engagement.
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Arden & GEM United Kingdom | Healthcare | 1000 | $100M | United Kingdom | Ivanti | Ivanti Xtraction | Analytics and BI | 2018 | n/a |
In 2018, Arden & GEM United Kingdom implemented Ivanti Xtraction to consolidate IT service management and cross tool operational data into centralized dashboards. Ivanti Xtraction, an Analytics and BI application, was employed to surface SLA metrics and operational reporting for the IT organization.
Configuration emphasized IT service management dashboards and performance and asset reporting modules, with data models created to normalize ticket, performance and asset telemetry across multiple sources. The implementation was completed very quickly, with core dashboards and reporting pipelines operational within two days, reflecting a templated dashboard and connector approach for rapid deployment. Standard Analytics and BI functions such as scheduled reporting, KPI visualization and drill down diagnostics were applied to support operational monitoring and incident analysis.
The deployment consolidated cross tool operational data into a single reporting layer, enabling IT service management teams to access consistent SLA and performance views. Operational scope focused on Arden & GEM United Kingdoms IT teams, covering incident management, service performance and asset reporting workflows.
Governance moved toward a centralized reporting model for SLA visibility and operational metrics, streamlining report ownership and refresh processes. The case study reports an estimated 60% reduction in reporting overhead and improved SLA visibility following the Ivanti Xtraction implementation.
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Media | 10 | $1M | United Kingdom | Zoho Corp. | Zoho DataPrep | Analytics and BI | 2021 | n/a |
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Communications | 68000 | $7.7B | United Kingdom | Connex One | Connex One Reporting and Analytics | Analytics and BI | 2022 | n/a |
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Professional Services | 2000 | $900M | United Kingdom | Litera | Prosperoware Umbria | Analytics and BI | 2014 | n/a |
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Professional Services | 260 | $30M | United Kingdom | BigHand | BigHand Quantum | Analytics and BI | 2017 | n/a |
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Professional Services | 500 | $63M | United Kingdom | BigHand | BigHand Quantum | Analytics and BI | 2019 | n/a |
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Professional Services | 203 | $24M | United Kingdom | Linetime | Linetime Liberate BI | Analytics and BI | 2019 | n/a |
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Professional Services | 427 | $66M | United Kingdom | Linetime | Linetime Liberate BI | Analytics and BI | 2022 | n/a |
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Life Sciences | 700 | $890M | United Kingdom | IBM | IBM Cognos Impromptu | Analytics and BI | 2000 | n/a |
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