Data Analytics for Strategic Decisions : Fundamentals of Business Technology and AI Integration
Book Details
Format
Hardback or Cased Book
Book Series
Mastering Business Analytics
ISBN-10
1041395892
ISBN-13
9781041395898
Publisher
Taylor & Francis Ltd
Imprint
Routledge
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 27th, 2026
Print length
104 Pages
Product Classification:
Econometrics and economic statisticsEconomic statisticsKnowledge managementKnowledge managementProduction & quality control managementProduction and quality control managementResearch & development managementResearch and development managementProbability & statisticsProbability and statisticsData miningComputer science
Ksh 27,900.00
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Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations
Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations. Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills. This book is designed for undergraduate and master’s students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation. The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.
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