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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ues in SE text is performed which are collected from 3 different sources StackOverflow.com, jira and app reviews. Since algorithms take vectors of numbers therefore, SE text has to be converted into vectors of numbers. There are 6 different word embedding techniques (Count Vectorization, TF-IDF, Wor

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https://doi.org/10.1057/978-1-137-51299-4o a sustainable competitive advantage, building data strategy, and setting Key Performance Indicators (KPI) for business analytics. The chapter further explores how analytics is used across business domains and the challenges in crafting a business analytics strategy.

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Energielieferung an Letztverbraucherthese can be identified and trained. For the purpose of this, a questionnaire was developed and validated to understand people’s attitude towards AI. Basically, it will help in identifying the AI mindset which will eventually help prepare such mindsets that are as important as preparing data set. Fo

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Data-Driven Decision Making in the VUCA Context: Harnessing Data for Informed Decisions,ess 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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