AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Apps Purchases: 10+ Million Software Purchases

App 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.

Apply Filters For 10+ Million Software Purchases

  • Analytics and BI
Logo Customer Industry Empl. Revenue Country Vendor Application Category When VAR/SI Insight Insight Source
Abbey International Finance Banking and Financial Services 15 $1M Ireland Oracle Oracle Analytics Cloud Analytics and BI 2019 Vertice In 2019, Abbey International Finance implemented Oracle Analytics Cloud, selecting the platform to consolidate and analyze management information at a group level across its diverse portfolio. The deployment targeted analytics and reporting needs categorized under Analytics and BI and aimed to centralize group reporting while supporting subsidiary level insights. Oracle Analytics Cloud was configured to provide data modeling, data preparation, interactive dashboards, self service analytics, and management reporting capabilities typical of an Analytics and BI implementation. The implementation was delivered with Oracle partner Vertice, with program leadership from Project Manager Liam Gamble, focusing on provisioning group level dashboards and subsidiary reporting artifacts. Operational coverage emphasized Group and subsidiary reporting scopes, consolidating management information feeds without naming underlying source systems. Governance and rollout followed a partner led approach to establish centralized analytics standards, governance for group reporting, and templates for subsidiary consumption. The stated outcome was delivery of more analytics at Group and subsidiary level and further enhanced data driven insights.
Advanced Research Center, Inc Life Sciences 50 $1M United States Oracle Oracle Autonomous Data Warehouse Data Warehouse 2019 n/a In 2019, Advanced Research Center, Inc implemented Oracle Autonomous Data Warehouse as its Data Warehouse. The deployment structured approximately 2GB of business data sourced from various unstructured inputs into five Object Stores within Oracle Autonomous Data Warehouse, establishing a cloud-native repository for analytics and reporting. Implementation work included provisioning Warehouses and configuring persistent connections between those Warehouses and BI visualization tools, and developing standard SQL query scripts in SQL Developer for self-service access by analysts. The use of Object Stores mapped unstructured content into object-based tables and simplified data modeling, while the SQL Developer scripts standardized common analytical queries for end-users. Operational coverage focused on analytics and research workflows, enabling BI and analytics users and other end-users to access consolidated datasets. The program reduced data accessibility efforts by 40% in time, reflecting explicitly stated operational efficiency gains and improving the cadence of ad hoc analysis and reporting.
Healthcare 92000 $18.0B United States Oracle Oracle Analytics Cloud Analytics and BI 2019 n/a
Professional Services 10 $1M France Oracle Oracle Analytics Cloud Analytics and BI 2019 n/a
Banking and Financial Services 75100 $65.9B United States Oracle Oracle Analytics Cloud Analytics and BI 2019 n/a
Healthcare 400 $50M United States Oracle Oracle Analytics Cloud Analytics and BI 2019 n/a
Healthcare 400 $50M United States Oracle Oracle Autonomous Data Warehouse Data Warehouse 2019 n/a
Professional Services 150 $15M Hong Kong Oracle Oracle Analytics Cloud Analytics and BI 2019 n/a
Professional Services 150 $15M Hong Kong Oracle Oracle Autonomous Data Warehouse Data Warehouse 2019 n/a
Insurance 87909 $68.7B Italy Oracle Oracle Analytics Cloud Analytics and BI 2019 n/a
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