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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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Hong Kong Shue Yan University | Education | 280 | $30M | Hong Kong | IBM | IBM Cloud Pak for Data | Data Warehouse | 2020 | n/a | In September 2020, Hong Kong Shue Yan University launched three laboratories and deployed IBM Cloud Pak for Data as a Data Warehouse solution to support teaching and research. The deployment targeted a new Big Data Laboratory within the research building, and the initial operational scope emphasized instruction and faculty research across the Department of Applied Data Science, the Department of Business Administration, and the Department of Economics and Finance. The IBM Cloud Pak for Data platform was provisioned on the universitys on premises private cloud and configured to expose multiple microservices and analytic components for classroom use. Key functional capabilities implemented include IBM Watson Discovery for unstructured news analysis and AutoAI within IBM Watson Studio to automate data preprocessing, model selection, and visual model evaluation, enabling low or no code methods for nontechnical users. Integrations and proof of concept work were conducted through an IBM Client Engineering workshop that produced a two week minimum viable product of Watson Discovery using university selected data sources. The platform integration emphasizes a single user friendly interface that guides students and faculty through data ingestion, visualization, model building, and report generation, and the environment supports planned connections to IoT devices for future courses. Governance and rollout followed an academic centric approach, with workshop led onboarding for professors and staff, short lab based classes that combine demos with hands on practice, and staged adoption across departments. The implementation explicitly supports pedagogical aims, with professors using the platform to teach Python and data analysis workflows and the university planning to embed the platform into curriculum such as a Bachelor of Science in Applied Data Science program launching in 2022. As of January 2022, about 100 students are using IBM Cloud Pak for Data in the Big Data Laboratory, and university workshops expanded attendance from around 20 to nearly 50 staff members as adoption grew. The deployment positions Hong Kong Shue Yan University to scale data analytics and machine learning pedagogy across teaching and research while retaining on premises control of its Data Warehouse platform. | |
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Hong Leong Investment Bank | Banking and Financial Services | 60 | $16M | Malaysia | Tableau Software | Tableau | Analytics and BI | 2021 | n/a | ||
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Professional Services | 30 | $3M | United States | Tableau Software | Tableau | Analytics and BI | 2019 | n/a |
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Professional Services | 100 | $10M | United States | Dreamdata | Dreamdata Revenue Analytics | Analytics and BI | 2022 | n/a |
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Manufacturing | 400 | $28M | Netherlands | Tableau Software | Tableau | Analytics and BI | 2012 | n/a |
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Professional Services | 70 | $7M | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2019 | n/a |
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Insurance | 10 | $1M | United States | Google Charts | Analytics and BI | 2021 | n/a |
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Communications | 10 | $1M | United States | Chartbeat | Chartbeat | Analytics and BI | 2015 | n/a |
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Non Profit | 23 | $3M | United States | Google Charts | Analytics and BI | 2020 | n/a |
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Leisure and Hospitality | 100 | $10M | United States | Akiva Software | Akiva Data Analytics | Analytics and BI | 2022 | n/a |
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