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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Blackstone | Banking and Financial Services | 4895 | $11.0B | United States | Sigma Computing | Sigma | Analytics and BI | 2021 | n/a | In 2021, Blackstone implemented Sigma to support finance and portfolio analytics across United States and global teams. The deployment placed Sigma within Blackstone's Analytics and BI stack to provide ad hoc analysis and scenario modeling capabilities for investment and finance functions. Sigma was configured to deliver self-service analytics workflows, with explicit use of Sigma Input Tables for writeback and Sigma embedded apps to capture and persist user inputs. The implementation targeted cloud-scale datasets, enabling analysts to work directly against Snowflake-backed workflows and datasets with billions of rows without material data extracts. Integration architecture centered on Snowflake-backed workflows, with Sigma connected to live Snowflake data objects to preserve single-source-of-truth analytics and to enable in-context writeback via Input Tables. The technical design emphasized live-querying of Snowflake for modeling and interactive exploration, reducing the need for downstream ETL for routine analysis. Operational coverage focused on finance and portfolio analytics teams, enabling broad self-service across investment, reporting, and scenario planning functions, and supporting both United States and global use cases. Governance blended role-based access and in-application input controls, using Sigma Input Tables and embedded apps to centralize data capture while retaining controlled writeback patterns. The implementation produced measurable operational outcomes reported by Blackstone, including broad self-service adoption with more than 700 active users and a reduction in analysis lead time from days to hours. | |
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Dolls Kill | Retail | 350 | $60M | United States | Epicor | Grow.com | Analytics and BI | 2018 | n/a | In 2018, Dolls Kill implemented Grow.com for Analytics and BI to deliver real-time ecommerce and operations dashboards across its US operations. The Grow.com deployment provided centralized visibility for sales, customer service, margin analysis and shipping metrics to keep cross-functional teams aligned on live KPIs. Reporting was centralized to support operational decision making across ecommerce and store expansion planning. Implementation focused on dashboarding, KPI scorecards, real-time visualizations and scheduled alerts that surfaced sales trends, customer service queues, margin drivers and shipping performance. The Grow.com configuration standardized metric definitions and reporting templates, enabling consistent dashboards for merchandising, customer care and operations teams. This configuration reduced reporting fragmentation and established a single operational view for daily monitoring. The rollout covered Dolls Kill US operations and targeted commerce, fulfillment and customer support functions, aligning metrics across teams working on brick and mortar expansion. Governance included standardized reporting cadence and shared KPI definitions to maintain alignment as the company moved toward physical retail locations. Dolls Kill reported increased productivity and visibility and used the Analytics and BI capability to support its brick and mortar retail expansion. | |
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Professional Services | 55 | $5M | United States | Epicor | Grow.com | Analytics and BI | 2018 | n/a |
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Professional Services | 1500 | $750M | United States | OpenText | OpenText Magellan | Analytics and BI | 2018 | n/a |
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Consumer Packaged Goods | 7000 | $1.8B | United States | OpenText | OpenText Magellan | Analytics and BI | 2017 | n/a |
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Government | 453551 | $65.3B | United States | Composable Analytics | Composable Analytics | Analytics and BI | 2018 | n/a |
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Professional Services | 1500 | $2.7B | United States | Composable Analytics | Composable Analytics | Analytics and BI | 2020 | n/a |
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Utilities | 20000 | $23.0B | United States | Transpara | Transpara Visual KPI | Analytics and BI | 2012 | n/a |
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Communications | 1300 | $310M | United States | Transpara | Transpara Visual KPI | Analytics and BI | 2018 | n/a |
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Oil, Gas and Chemicals | 36000 | $43.0B | United States | SAS Institute | SAS Forecast Server | Analytics and BI | 2024 | n/a |
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