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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Stora Enso | Manufacturing | 20000 | $10.1B | Finland | Microsoft | Minit Process Mining | Process Mining | 2019 | n/a | In 2019 Stora Enso deployed Minit Process Mining as a Process Mining solution into its daily operations to increase visibility across core transactional workflows. The vendor was selected for an agile approach, a fast and flat learning curve for business users, responsiveness to co-develop features with the customer, and a clear path to quick payback, all of which influenced adoption decisions. The initial implementation focused on two robust end to end processes, Purchase To Pay and Order To Cash, using Minit Process Mining to create visual process maps, variant analysis, and conformance checks. The technical start was rapid, with installation completed in up to five days and key users onboarded quickly, and initial positive results began to appear within six months. Functional use cases explicitly included identifying candidates for Robotic Process Automation, reducing process variants across sites, and prompting review and reclassification of customers. Stora Enso confronted scattered data across numerous ERP systems deployed globally, and the Minit deployment consolidated event level data to produce trusted process insights for dozens of mills and factories across multiple countries. The deployment was used by operational teams and process owners to harmonize execution patterns across sites and to generate actionable findings without reliance on expert level data analysts. Governance and adoption were centered on empowering business users to interpret process models and drive local process changes, accelerating harmonization and continuous improvement. Outcomes reported by the company include pinpointing RPA opportunities, reduced process variants in factories and mills, and revised customer classification practices, with early payback and measurable adoption within the first six months. | |
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Prysmian | Manufacturing | 33952 | $20.0B | Italy | IBM | myInvenio | Process Mining | 2019 | n/a | In 2019, Prysmian deployed myInvenio to operationalize Process Mining across targeted operational workflows. The initial implementation emphasized process discovery and construction of a digital twin of the organization to increase visibility into transactional variants, with particular focus on procure to pay event analysis. The myInvenio deployment implemented core Process Mining capabilities including automated process discovery, conformance checking, variant clustering, case level drilldowns, and configurable KPI dashboards. Configuration centered on event log normalization, process model generation, and rule based anomaly detection to support ongoing process analytics and forensic review. The solution was delivered under IBM vendor stewardship and ingests event logs and transactional records through configurable data pipelines and connectors into a central staging layer. Operational coverage included procurement, finance, and supply chain process areas, with process owners and operational teams using myInvenio Process Mining outputs to prioritize investigations and remediation activities. Governance was structured around a central process mining center of excellence, where owners maintained model versioning, data quality rules, and monitoring cadences. Rollout governance emphasized standardized event log schemas, change control for analytic artifacts, and operational handoffs to process and compliance teams. | |
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Manufacturing | 50 | $10M | Australia | Nintex | Nintex Promapp | Process Mining | 2019 | n/a |
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Manufacturing | 1400 | $200M | United States | Nintex | Nintex K2 Five | Process Mining | 2019 | n/a |
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Manufacturing | 8000 | $3.0B | Italy | Nintex | Nintex K2 Cloud | Process Mining | 2019 | n/a |
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Manufacturing | 99 | $10M | New Zealand | Nintex | Nintex Promapp | Process Mining | 2019 | n/a |
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Manufacturing | 120 | $15M | United Kingdom | Nintex | Nintex K2 Cloud | Process Mining | 2019 | n/a |
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Manufacturing | 200 | $50M | United Kingdom | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Manufacturing | 14500 | $4.5B | Germany | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2019 | n/a |
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Manufacturing | 410 | $130M | United Arab Emirates | Process Analytics Factory | PAFnow Process Mining | Process Mining | 2018 | n/a |
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