Introduction to Business Intelligence: Concepts, Technologies, and Applications

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"Introduction to Business Intelligence: Concepts, Technologies, and Applications" is a comprehensive guide that explores the fundamental concepts, technologies, and practical applications of business intelligence (BI) in the context of modern organizations. The book covers key topics such as data warehousing, data mining, analytics, and decision support systems, providing a solid foundation for understanding how BI tools and techniques can be leveraged to drive strategic business decisions.The authors introduce readers to the importance of data-driven decision-making and explain how BI systems enable organizations to collect, analyze, and interpret large volumes of data to gain valuable insights. The book discusses various BI technologies, including data visualization, dashboards, and predictive analytics, highlighting their role in improving operational efficiency, optimizing performance, and fostering innovation. Through real-world examples and case studies, the book illustrates how businesses across industries use BI solutions to enhance competitiveness, uncover hidden trends, and identify growth It also addresses challenges associated with implementing BI.

Autorentext
Dr. Muhammad Asif Khan is an esteemed Assistant Professor specializing in Entrepreneurship and Management with extensive research and teaching experience. Dr. Khan's academic journey and professional contributions exemplify a commitment to excellence in education, research, and leadership within the field of entrepreneurship.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786207488681
    • Sprache Englisch
    • Genre Economy
    • Größe H220mm x B220mm x T150mm
    • Jahr 2024
    • EAN 9786207488681
    • Format Kartonierter Einband
    • ISBN 978-620-7-48868-1
    • Titel Introduction to Business Intelligence: Concepts, Technologies, and Applications
    • Autor Muhammad Asif Khan
    • Untertitel DE
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 52

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