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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Saga Services | Professional Services | 1150 | $222M | United Kingdom | Guidewire | Guidewire InfoCenter | Data Warehouse | 2023 | n/a | In 2023 Saga Services implemented Guidewire InfoCenter as a Data Warehouse to consolidate reporting, support analytics and provide a single source of operational data for its insurance operations. The deployment formed part of a broader Guidewire InsurancePlatform program at Saga Services that targeted faster product delivery and improved omnichannel servicing for its UK insurance business. Guidewire InfoCenter was configured to deliver standard data warehouse capabilities including enterprise reporting, operational analytics, and self-service dashboards, and it was used alongside Guidewire DataHub to enable extraction, transformation and loading of transactional data. The implementation leveraged Guidewire InfoCenter’s reporting and BI capabilities to surface policy, billing and digital channel metrics to business users and contact center agents. The Data Warehouse implementation integrated with Guidewire PolicyCenter, Guidewire BillingCenter and Guidewire Digital as part of a unified platform architecture, enabling data flows from policy administration and billing systems into Guidewire InfoCenter. Operational coverage focused on Saga Services’ insurance lines including motor and home, and targeted business functions included underwriting, contact center operations, product management and customer service. Governance and rollout emphasized an agile delivery model with Saga’s internal IT development teams working in a single collaborative team with Guidewire, supported by targeted training for agents and trainers. Explicit outcomes reported include creating the foundation for digitizing service transactions and omnichannel experiences, enabling agents to complete quotes quickly with minimal training, consolidating technology so one application reduced duplicate IT work, and accelerating the ability to make product changes and introduce new products. | |
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EXHEAT | Manufacturing | 90 | $12M | United Kingdom | To-Increase | To-Increase Data Collection Studio | Analytics and BI | 2014 | n/a | In 2014, EXHEAT implemented To-Increase Data Collection Studio 2014. The deployment positioned To-Increase Data Collection Studio as the enterprise data capture and staging layer for Analytics and BI, focusing on manufacturing and supply chain data flows rather than enterprise financials. EXHEAT used the application to instrument transactional shop floor events and prepare structured datasets for business intelligence consumption. The implementation configured data capture modules for shop floor event recording, transaction validation, and batch posting, with mapping to EXHEAT master data. To-Increase Data Collection Studio was configured to normalize input, apply validation rules, and stage data for downstream reporting and analytics, supporting production reporting and inventory transaction feeds. Configuration work emphasized lightweight user interfaces for operators and rule-driven data quality checks consistent with Analytics and BI practices. Integration work tied To-Increase Data Collection Studio directly into EXHEATs Supply Chain Solutions for Microsoft Dynamics AX, enabling push of validated transactions into AX inventory and production modules and readback of item and routing master data. The operational scope covered manufacturing and supply chain functions, supporting discrete production lines and shop floor operators within EXHEATs UK operations. Governance focused on role based data entry controls and in-application validation rules to enforce process compliance and ensure data integrity for BI consumers. | |
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Construction and Real Estate | 45 | $4M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2023 | n/a |
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Professional Services | 1000 | $158M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Professional Services | 9000 | $1.5B | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2022 | n/a |
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Construction and Real Estate | 802 | $122M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2018 | n/a |
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Retail | 821 | $370M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Banking and Financial Services | 360 | $115M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2021 | n/a |
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Construction and Real Estate | 4000 | $1.4B | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2021 | n/a |
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Leisure and Hospitality | 30000 | $1.5B | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2022 | n/a |
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