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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Inail | Government | 9261 | $1.0B | Italy | Apromore | Apromore Enterprise Edition | Process Mining | 2021 | n/a | In 2021, INAIL deployed Apromore Enterprise Edition as a Process Mining solution to operationalize process mining across its organization and accelerate a prior digital customer centricity initiative. The program built on a 2018 decision to focus on process transparency and was launched with HSPI as a consulting partner, beginning with deep dives into IT operations to validate techniques and data extraction approaches. The initial deployment targeted analytically tractable processes as a proving ground, then expanded to high complexity workflows such as the procure to pay chain. The rollout referenced the organization structure of 21 Central Business Units and used event logs from core systems to instrument 350 plus business processes. Apromore Enterprise Edition was configured to support automated process model discovery, process performance metric analysis, rework and bottleneck detection, and process variant analysis. Apromore Enterprise Edition also served as the foundation for INAIL's Process Control Room, a continuous monitoring framework that surfaced E2E and subprocess level indicators for managers and analysts. The implementation emphasized data preparation tasks including extracting event logs, deriving case identifiers, filtering by geography and time horizon, and investigating anomalies before analysis. Configuration work focused on providing role based access for analysts and business managers to interact with discovered models and drill into variant and bottleneck views. Integrations were explicitly planned and implemented with INAIL's data lake to create a streamlined analysis pipeline, and custom dashboards were built on top of PowerBI as part of the Process Control Room visualization layer. The program included technical work to ingest contact center ticketing and procure to pay transaction traces, enabling cross functional visibility across IT operations, procurement, and customer service. Apromore outputs were used to surface candidate areas for robotic process automation, and a joint program was launched to tighten RPA opportunities with process mining insights. Data quality remediation and ongoing log curation were integral to sustaining the feed into Apromore Enterprise Edition. Governance was established to operationalize process mining as a strategic asset, with a process control framework that enabled continuous monitoring and manager led interventions. The deployment identified specific compliance deviations in purchase limits within procure to pay and highlighted subprocess level inefficiencies that were not visible at the E2E aggregate level. Outcomes explicitly cited by INAIL include reduced procure to pay waiting times, elimination of identified non compliant cases, extensive time savings in process analysis, and a live Process Control Room for real time oversight. The work also revealed risks such as improperly migrated records that required remediation to prevent future exceptions, reinforcing the need for sustained governance and data stewardship. | |
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Inail | Government | 9261 | $1.0B | Italy | Oracle | Oracle Analytics Cloud | Analytics and BI | 2024 | n/a | ||
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Government | 9261 | $1.0B | Italy | Apromore | Apromore Task Mining | Process Mining | 2022 | n/a |
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Manufacturing | 2057 | $4.3B | Indonesia | Tableau Software | Tableau | Analytics and BI | 2018 | n/a |
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Life Sciences | 180 | $70M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2023 | n/a |
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Media | 95 | $3M | India | Chartbeat | Chartbeat | Analytics and BI | 2015 | n/a |
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Media | 95 | $3M | India | Deep.BI | Deep.BI | Analytics and BI,Data Warehouse | 2020 | n/a |
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Professional Services | 30 | $10M | United States | Analytix Solutions | Analytix Insight360 | Analytics and BI | 2018 | n/a |
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Automotive | 17588 | $12.0B | United Kingdom | Genesys | Genesys Reporting & Analytics | Analytics and BI | 2014 | n/a |
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Automotive | 17588 | $12.0B | United Kingdom | SAP | SAP BusinessObjects | Analytics and BI | 2015 | n/a |
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