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.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Coolblue | Retail | 6361 | $2.2B | Netherlands | Objective Platform | Objective Platform | Analytics and BI | 2019 | n/a | ||
|
|
Chubb USA | Insurance | 31000 | $13.0B | United States | Microsoft | Microsoft Azure Databricks (AI) | Analytics and BI,Data Warehouse | 2019 | n/a | In 2019, Chubb USA implemented Microsoft Azure Databricks (AI) as a central component of an Analytics and BI,Data Warehouse initiative. The deployment positioned Microsoft Azure Databricks (AI) as the primary environment for large scale data transformation, master data set creation and interactive analytics workloads across Chubb's data engineering estate. Implementation emphasized functional capabilities for data ingestion, profiling, cleansing and transformation, with data wrangling and PySpark pipelines used to convert raw feeds into analytics-ready datasets. The environment supported advanced parsing and unstructured data preparation, Natural Language Processing transforms, use of Hive for partitioned and bucketed analytics, and collaboration with data science teams to prepare and deploy machine learning models. Integrations were explicitly built around Microsoft Azure technologies including Azure Data Factory for orchestration, Azure Data Lake Store for storage, Azure Data analysis service, Azure Cosmos DB, Azure MySQL, PostgreSQL and an Azure based SQL Data Warehouse as downstream targets. The program included API development to scrape external sources, a geocoding proof of concept with an external vendor, use of Azure RestAPIs, and containerized components running on Azure Kubernetes for selected automation workloads. Operational governance incorporated code and design reviews with senior data engineers, CI/CD pipelines managed with GitHub and Azure-ops, and Azure identity management controls for access. Work at Chubb’s Whitehouse Station, NJ environment demonstrated incremental rollout patterns through proofs of concept for automation and a Django-based UI prototype to streamline big data analytics workflows. | |
|
|
|
Manufacturing | 14500 | $4.5B | Germany | SAP | SAP Analytics Cloud | Analytics and BI | 2019 | n/a |
|
|
|
|
|
Retail | 8 | $1M | Germany | Stetic | Stetic | Analytics and BI | 2019 | n/a |
|
|
|
|
|
Distribution | 16 | $1M | Netherlands | Oracle | Oracle Endeca | Analytics and BI | 2019 | n/a |
|
|
|
|
|
Media | 102 | $10M | Norway | Chartbeat | Chartbeat | Analytics and BI | 2019 | n/a |
|
|
|
|
|
Healthcare | 10 | $1M | Poland | Synerise | Synerise | Analytics and BI | 2019 | n/a |
|
|
|
|
|
Retail | 10000 | $2.0B | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2019 | n/a |
|
|
|
|
|
Retail | 206000 | $139.1B | United States | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2019 | n/a |
|
|
|
|
|
Retail | 20386 | $10.9B | United States | Google BigQuery | Data Warehouse | 2019 | n/a |
|
|