Analytics Mistakes that Derail Software Startups
Usman Rafiq, Jorge Melegati, Dron Khanna, Eduardo Guerra, Xiaofeng Wang
Abstract
[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.
Topics & Concepts
Software analyticsPerspective (graphical)Computer scienceAnalyticsContext (archaeology)SoftwareData scienceKnowledge managementSoftware developmentProcess managementBusinessSoftware constructionProgramming languageBiologyArtificial intelligencePaleontologySoftware Engineering Techniques and PracticesSoftware Engineering ResearchOpen Source Software Innovations