Publication | Open Access
Analytics Mistakes that Derail Software Startups
18
Citations
15
References
2021
Year
Software MaintenanceEngineeringBusiness IntelligenceSoftware EngineeringBusiness AnalyticsSoftware AnalysisEmpirical Software Engineering ResearchData ScienceManagementSoftware AspectSoftware Engineering EconomicsSoftware StartupsStatisticsAnalytic ApplicationSoftware MeasurementAdvanced AnalyticsInformation ManagementBusiness Analytics StrategySoftware DesignMetrics PerspectiveSoftware TestingSoftware MetricBusinessManagement AnalyticsSoftware AnalyticsSoftware Startup LiteratureAnalytics Mistakes
[Context] Software startups are engines of innovation and economy, yet building software startups is challenging and subject to a high failure rate. They need to act and respond fast in highly uncertain business environments. To do so, they need to identify crucial and actionable information that supports them in making correct decisions and reduce uncertainty. So far, the software startup literature focused predominantly on what information to measure from a metrics perspective. Thus, there is a lack of research investigating how to deal with information from an analytics perspective.
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