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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Banco Bci | Banking and Financial Services | 10560 | $3.5B | Chile | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a | In 2019, Banco Bci implemented PAFnow Process Mining as a Process Mining solution to instrument and analyze transactional event data across the bank. PAFnow Process Mining was deployed to provide event log ingestion, process discovery, conformance analysis and performance analytics, integrated with the bank’s existing Microsoft Power BI environment. The deployment architecture leveraged PAFnow’s installation free connectivity for Power BI users, using Power BI as the visualization and dashboard layer while PAFnow handled event log transformation and process mining computations. Functional capabilities implemented included automated process visualization, throughput and bottleneck analysis and conformance reporting, aligning with standard Process Mining workflows. Operational coverage targeted end to end banking processes, enabling analytics teams and business process owners to explore process variants and exceptions via embedded Power BI reports. Governance and rollout emphasized embedding process monitoring into existing BI workflows and analytics governance, enabling the bank to operationalize continuous process transparency without requiring separate infrastructure changes. | |
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Heidelberg Graphic Equipment Ltd | Manufacturing | 200 | $50M | United Kingdom | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a | In 2019 Heidelberg Graphic Equipment Ltd implemented PAFnow Process Mining, adopting the Process Mining application to instrument and analyze end to end production and service processes. The deployment focused on operational process visibility across manufacturing and after sales service functions. The initiative aligned PAFnow Process Mining with existing reporting workflows to enable process level analytics. The implementation configured PAFnow Process Mining to support process discovery, conformance checking, and performance analytics, leveraging process visualizations, variant analysis, and root cause drill downs. Dashboards and analytic models were provisioned for operational teams, with process filters and KPIs configured to reflect manufacturing cycle times and service throughput. Configuration emphasized BI native reporting and self service analysis for process owners. Deployment was executed inside the customer's existing BI environment, using the integration capability of PAFnow with Microsoft's Power BI to avoid heavy installation, the vendor described the solution as installation free for Power BI users. Data ingestion used event logs and transactional feeds from shop floor and service systems to feed process models, enabling continuous process mining rather than batch only analysis. The architecture prioritized in situ analytics inside the Power BI stack to preserve existing infrastructure and reporting flows. Governance established process owners and review cadences within operations and service groups to operationalize insights and to maintain data model consistency. Vendor level context included PAF's international expansion and selection for the German Accelerator Program in April 2020, positioning PAFnow Process Mining as supported by a broader global network of partners and advisors. | |
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Manufacturing | 14500 | $4.5B | Germany | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Retail | 41186 | $117.6B | Germany | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Automotive | 175264 | $171.5B | Germany | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Retail | 95826 | $40.7B | Switzerland | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Manufacturing | 5000 | $1.3B | United States | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Professional Services | 90400 | $53.8B | United States | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Banking and Financial Services | 4628 | $486M | Kenya | ProcessMaker | ProcessMaker BPM | Process Mining | 2019 | n/a |
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Insurance | 160 | $20M | United States | ProcessMaker | ProcessMaker BPM | Process Mining | 2019 | n/a |
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