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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Wienerschnitzel | Leisure and Hospitality | 2600 | $350M | United States | Tango | Tango Predictive Analytics | Analytics and BI | 2022 | n/a | In 2022, Wienerschnitzel implemented Tango Predictive Analytics as part of a Galardi Group initiative to centralize location intelligence for its restaurant brands. The deployment is classified under Analytics and BI, with Tango Predictive Analytics serving as the primary analytics layer to inform site selection and expansion planning for Wienerschnitzel and affiliated brands. The implementation bundle included Tango Predictive Analytics alongside Tango Transactions and Tango Lease to align predictive modeling with transaction and lease data. Configuration focused on predictive site scoring, trade area analytics, and combining transaction and lease attributes to support store lifecycle decisioning, consistent with Analytics and BI functional workflows. Operational coverage targeted real estate and franchise development teams, with workflows designed to reflect drive thru, third party and digital sales signals when assessing location suitability. The platform was positioned to support franchisee opportunity identification and to streamline retail location strategy across Galardi Group brands, without citing specific third party system integrations. Governance changes emphasized centralizing site selection processes into a single platform to improve accuracy and provide a consistent decision support model for expansion. Outcomes explicitly stated by the customer include improved accuracy, the ability to identify new opportunities for franchisees and support for future growth plans. | |
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Catapult | Leisure and Hospitality | 410 | $40M | Australia | Zendesk | Zendesk Explore | Analytics and BI | 2018 | n/a | In 2018, Catapult implemented Zendesk Explore as part of its broader Zendesk deployment to add Analytics and BI capabilities to support its global athlete monitoring business. Catapult is a Melbourne founded sports technology company with 410 employees, its support organization fields roughly 76,000 tickets per year and operates a team of 68 agents across regional offices to serve customers ranging from elite professional athletes to parents using wearables. The implementation configured Zendesk Explore dashboards alongside core Zendesk capabilities such as Views and the Guide Knowledge Capture app, and extended Zendesk to categorize incoming tickets by customer tier, ticket type, urgency, complexity and product. The deployment included agent-facing dashboards for personalized coaching, operational metrics for staffing decisions, and knowledge management workflows that surfaced high-volume topics into the Help Center to drive self service and reduce repetitive inquiries. Integrations were explicitly scoped to synchronize Salesforce data into Zendesk so agents could see customer health and coordinate with sales and logistics teams, and the support stack consolidated multichannel intake from phone, chat, email and SMS into a single triage workflow. The operations model supported event monitoring use cases during high-profile sporting events such as FIFA World Cup 2022, where staff monitored stadium anchors and alerted technicians through Zendesk driven triage processes, and the team continues to explore adding Whatsapp messaging and Google Analytics for content effectiveness insights. Governance centered on tiered SLAs, ticket triage by a regional support coordinator team, and escalation paths to specialist technicians for technical troubleshooting, with Views used to route elite-athlete tickets into higher-priority queues and enforce response commitments. The use of Zendesk Explore delivered measurable operational outcomes reported by Catapult, including a 6.4 self service ratio, a 94 percent CSAT score, an average first response time of 18 minutes compared to a 30 minute target, and an average full resolution time of 4 hours compared to a 48 hour goal, while continuing to instrument dashboards for ongoing coaching and staffing optimization. | |
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Leisure and Hospitality | 1100 | $4.6B | Switzerland | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2014 | n/a |
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Leisure and Hospitality | 1100 | $4.6B | Switzerland | SAP | SAP BusinessObjects | Analytics and BI | 2014 | n/a |
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Leisure and Hospitality | 250 | $65M | Switzerland | SAP | SAP Sports One Solution | Analytics and BI | 2021 | n/a |
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Leisure and Hospitality | 150 | $20M | Switzerland | Tableau Software | Tableau | Analytics and BI | 2016 | n/a |
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Leisure and Hospitality | 150 | $20M | Switzerland | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2016 | n/a |
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Leisure and Hospitality | 10 | $2M | Indonesia | Umami | Umami | Analytics and BI | 2022 | n/a |
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Leisure and Hospitality | 10 | $2M | Indonesia | Umami | Umami | Analytics and BI | 2022 | n/a |
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Leisure and Hospitality | 10 | $2M | Indonesia | Google Charts | Analytics and BI | 2016 | n/a |
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