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.
Apply Filters For 10+ Million Software Purchases
- Utilities
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Trustpower | Utilities | 766 | $640M | New Zealand | Workday | Workday Adaptive Planning (ex Adaptive Insights) | EPM | 2016 | n/a | ||
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Unitil Energy Systems | Utilities | 508 | $527M | United States | Exacter | Exacter Predictive Analytics | EPM | 2013 | n/a | In 2013 Unitil Energy Systems began an innovative grid reliability program that deployed Exacter Predictive Analytics EPM to locate and prioritize deteriorating overhead assets for replacement before failure occurred. The program was initiated in response to a string of destructive weather events and launched as a multi year pilot in Unitil’s New Hampshire territory under a formal agreement with Exacter and regulatory funding support. Unitil framed the initiative around outage avoidance, asking whether predictive methods could be a cost effective tool for improving asset management and reliability. Exacter Predictive Analytics was used to gather condition based field data across the overhead distribution system, identifying unique failure signature emissions from arcing, leaking, or tracking equipment. The implemented capabilities included RF emission detection for early failure signature capture, GPS based location and mapping, proprietary analytics to quantify points of risk, and field verification using ultrasonic detection by on location teams. Exacter Predictive Analytics provided prioritized, risk quantified targets for equipment replacement and inspection workflows tied to outage risk assessments. Architecturally the Exacter technology was integrated into Unitil’s outage management system so identified risk points could be analyzed in the context of customer impact, enabling the utility to see how many customers would be affected if an outage occurred at a specific location. Operational coverage for the initial survey was explicit, Unitil reported four weeks to patrol assess and deliver detailed analytics for more than 428 miles of its three phase overhead grid. The deployment combined remote RF scanning with targeted field visits to validate degradation signatures and inform prioritized maintenance planning. Governance and rollout were structured around regulator engagement and transparent reporting, the program was funded to run as a three year pilot with annual progress reports and public Q and A technical sessions to document findings. Davey Resource Group participated as a strategic partner bringing prior due diligence and complementary predictive vegetation management experience that informed rollout design. Unitil presented first and second year results in regulatory sessions by July 2015 and described the early findings as promising, while maintaining the pilot framework for a formal multi year evaluation. | |
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Utilities | 120 | $20M | United States | Exacter | Exacter Predictive Analytics | EPM | 2017 | n/a |
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Utilities | 100 | $17M | Sweden | Insightsoftware | Insightsoftware BizVIew | EPM | 2018 | n/a |
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Utilities | 150 | $40M | United States | Exacter | Exacter Predictive Analytics | EPM | 2013 | n/a |
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Utilities | 1444 | $2.0B | United States | Flexnova | Flexnova CaseWorks | EPM | 2008 | n/a |
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Utilities | 7000 | $8.9B | United States | Insightsoftware | Insightsoftware Longview | EPM | 2018 | n/a |
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Utilities | 100 | $20M | United States | Prophix Software | Prophix | EPM | 2016 | n/a |
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Utilities | 1700 | $951M | United States | Questica | Questica Budget | EPM | 2018 | n/a |
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Utilities | 5000 | $4.0B | Turkey | IBM | IBM Maximo Asset Performance Management | Asset Performance Management | 2018 | n/a |
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