Titlebook: Data-Driven Decision Making; Jeanne Poulose,Vinod Sharma,Chandan Maheshkar Book 2024 The Editor(s) (if applicable) and The Author(s), unde

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https://doi.org/10.1007/3-540-28989-5ess contexts. It is about using data as a tool to enhance strategic thinking, scenario planning, and adaptation in rapidly changing environments. It involves leveraging data and analytics to navigate the challenges of volatility, uncertainty, complexity, and ambiguity. By embracing DDDM, organizatio

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analysis helps in observing opinion about any product, topic, policy, etc., from thousands and thousands of online reviews, twits, social media comments, hashtags, etc. In the area of Software Engineering (SE) also this technique is being explored and found to be an interesting way to observe the o

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Greet Vanaerschot,Nelleke Nicolaiing accurate results. In this study, we conducted a comparative analysis of several well-known supervised machine learning techniques, including logistic regression, support vector machine (SVM), k-nearest neighbours (kNN), na?ve Bayes, decision trees, random forest, AdaBoost, and artificial neural

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