AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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
Johnson & Johnson Life Sciences 138100 $88.8B United States IBM IBM Netezza Data Warehouse Data Warehouse 2018 n/a
Johnson & Johnson Life Sciences 138100 $88.8B United States Informatica Informatica Data Quality Data Warehouse 2021 n/a In 2021, Johnson & Johnson implemented Informatica Data Quality as part of a Data Warehouse initiative to onboard EDG into Informatica Multi-domain MDM and Product 360. The work was executed during an Informatica application support engagement running through August 2021 and centered on master data and product information workflows within the broader Data Warehouse architecture. The implementation included design and creation of business objects, staging tables, mappings, and transformations to support ETL flows. Informatica Data Quality toolkit capabilities were used for analysis, data cleansing, and data matching, while Informatica PowerCenter executed mappings that populated staging tables and performed cleansing tasks defined by business requirements. Integration points were explicitly instrumented with Informatica Multi-domain MDM 10.2 HF2, Product 360 PIM 10.2, Active VOS for automating the IREP process, and mechanisms to replicate data between IREP and downstream consumers. The environment included JBoss EAP6.2 application hosts, Oracle 11g databases, and developer tools such as SQL Developer and Toad, with Address Doctor and IDD used for address discovery and cleansing. Project governance emphasized release planning, prioritization of requirements, and status reporting to J&J IT, with responsibilities covering project execution, delivery oversight, and performance monitoring. The team maintained design review processes, managed change requests tied to technology and design deviations, and performed gap analysis to align requirements, enrichment scope, and sustainability best practices. Operationally the deployment focused on establishing repeatable ETL and data quality workflows to support master data management and product information processes, combining Informatica Data Quality, PowerCenter mappings, and address validation services to standardize personal and business address deliverables. The implementation documented mappings, transformation logic, and environment configuration to ensure the final application met defined functional requirements.
Manufacturing 5000 $1.7B United Kingdom SAP SAP BW (Business Warehouse) Data Warehouse 2012 n/a
Life Sciences 3000 $716M United Kingdom Microsoft Microsoft Power BI Analytics and BI 2022 n/a
Life Sciences 3000 $716M United Kingdom Tableau Software Tableau Analytics and BI 2021 n/a
Life Sciences 3000 $716M United Kingdom SAP SAP BW (Business Warehouse) Data Warehouse 2019 n/a
Manufacturing 8400 $1.0B United States Domo Domo Analytics and BI 2013 n/a
Professional Services 94000 $23.0B Ireland Microsoft Microsoft Power BI Analytics and BI 2016 n/a
Professional Services 94000 $23.0B Ireland Cloudera Cloudera Hortonworks Data Platform Data Warehouse 2017 n/a
Professional Services 94000 $23.0B Ireland Datapolis Datapolis Process Intelligence Process Mining 2010 n/a
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