Driving Modern Business Intelligence Architecture for Operational Efficiency - Hardcover

Hardcover

ISBN 13: 9798337321257

Verlag: IGI Global, 2025

Inhaltsangabe

Driving modern business intelligence (BI) architecture is essential for organizations to enhance operational efficiency and make data-driven decisions. As businesses accumulate large amounts of data from diverse sources, traditional BI tools struggle to deliver real-time insights and agility. Modern BI architecture leverages cloud-based platforms, data lakes, AI-driven analytics, and self-service capabilities to unify data access and accelerate decision-making. This empowers stakeholders across departments with actionable intelligence and streamline operations by identifying inefficiencies, predicting trends, and automating analysis. Further research into an adaptive BI framework may assist with future business strategies. Driving Modern Business Intelligence Architecture for Operational Efficiency explores the evolving landscape of data management within BI systems, addressing organizations' critical challenges in managing, processing, and utilizing vast amounts of data for strategic decision-making. It offers insights into cutting-edge tools, methodologies, and best practices for effective data management in BI environments. This book covers topics such as data governance, predictive security, and machine learning, and is a useful resource for computer engineers, business owners, economists, academicians, researchers, and data scientists.

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Über die Autorin bzw. den Autor

Ahmad al-Qerem graduated in applied mathematics and MSc in Computer Science at the Jordan University of Science and Technology and Jordan University in 1997 and 2002, respectively. After that, he was appointed as full-time lecturer at the Zarqa University. He was a visiting professor at Princess Sumaya University for Technology (PSUT). He obtained a PhD from Loughborough University, UK. His research interests are in performance and analytical modeling, mobile computing environments, protocol engineering, communication networks, transition to IPv6, machine learning and transaction processing. He has published several papers in various areas of computer science. Currently, he has a full academic post as a full professor at computer science department at Zarqa University-Jordan.

Details zur Ausgabe

• Verlag: IGI Global
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 13: 9798337321257
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 414
• Herausgeber: Ishtaiwi Abdelraouf, Al-Qerem Ahmad, Al Khaldy Mohammad
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland