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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Metropolitan Thames Valley | Non Profit | 1938 | $498M | United Kingdom | MRI Software | MRI Tenancy Analytics | Analytics and BI | 2017 | Housing Partners | In 2017 Metropolitan Thames Valley engaged Housing Partners to implement MRI Tenancy Analytics, an Analytics and BI application used by income and tenancy teams to strengthen pre-tenancy checks and support fraud investigations. The engagement began in 2017 and the solution was embedded into income and tenancy processes across London and the South East by 2018, establishing operational coverage for regional teams responsible for tenancy sustainability and income collection. MRI Tenancy Analytics was configured to deliver tenancy fraud detection and tenancy sustainability capabilities aligned with Analytics and BI workflows, including consolidated dashboards, automated risk scoring, exception alerts, and investigative case views typical of tenancy analytics implementations. The implementation focused on operationalizing pre-tenancy screening and ongoing tenancy monitoring so income and tenancy officers could surface high risk cases and prioritise investigations within existing casework processes. Housing Partners led the implementation and worked to integrate MRI Tenancy Analytics output into Metropolitan Thames Valley business processes for income collection and tenancy management, without explicit external system integration details provided. The deployment was applied across income and tenancy functions regionally, with the application becoming part of standard workflows for teams in London and the South East by 2018. Operational outcomes from the rollout were explicitly recorded, MRI Tenancy Analytics supported fraud investigations that identified 126 proven cases and an estimated 1.323 million pounds in public purse savings. Governance changes focused on embedding analytics driven checks into frontline income and tenancy procedures and using MRI Tenancy Analytics as a repeatable investigative and screening tool across Metropolitan Thames Valley income and tenancy operations. | |
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Michigan State University Federal Credit Union | Banking and Financial Services | 1300 | $498M | United States | Experian | Experian Decision Analytics | Analytics and BI | 2023 | n/a | In 2023, Michigan State University Federal Credit Union implemented Experian Decision Analytics, deploying Experian’s PowerCurve Originations to automate decisioning for secured and unsecured personal loans. The implementation is described within the Analytics and BI category, positioning Experian Decision Analytics as the centralized engine for automated underwriting, rules-based decisioning, and scoring workflows in the credit union’s origination environment. The deployment configured PowerCurve Originations decisioning workflows and policy rules to evaluate inbound loan applications, apply scoring and eligibility checks, and execute automated approvals or referrals. Functional capabilities implemented included automated decisioning for secured and unsecured personal loans, decision-rule orchestration, and production scoring, aligned with standard originations automation patterns in this application class. Operational coverage was a US-based finance and origination project focused on lending and member servicing teams, embedding automated decisioning into day-to-day origination operations and member experience touchpoints. Governance activities included operationalizing decision policy management and monitoring to maintain automated decision thresholds and to support ongoing rule adjustments, consistent with decision analytics best practices. Experian Decision Analytics produced a 49% automation rate on day one, averaged over 55% monthly, and reduced application processing to under 24 hours, demonstrating the implementation outcomes reported for MSU Federal Credit Union. | |
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Retail | 442 | $497M | United States | Adobe Systems | Adobe Magento BI (formerly RJMetrics) | Analytics and BI | 2014 | n/a |
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Education | 10000 | $496M | Italy | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Transportation | 2729 | $496M | Japan | LaKeel | LaKeel BI | Analytics and BI | 2014 | n/a |
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Professional Services | 2500 | $495M | United Kingdom | ATS Global | Atlas Play | Process Mining | 2020 | n/a |
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Insurance | 733 | $495M | United Kingdom | Tableau Software | Tableau | Analytics and BI | 2016 | n/a |
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Insurance | 733 | $495M | United Kingdom | Alteryx | Alteryx One Platform | Analytics and BI | 2017 | n/a |
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Insurance | 733 | $495M | United Kingdom | Zendesk | Zendesk Explore | Analytics and BI | 2018 | n/a |
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Government | 2600 | $494M | United States | Microsoft | Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) | Analytics and BI | 2016 | n/a |
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