Advanced Analytics for Industry 4.0 : Technology Industries
Book Details
Format
Hardback or Cased Book
ISBN-10
1032033479
ISBN-13
9781032033471
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 17th, 2026
Print length
494 Pages
Weight
1,060 grams
Product Classification:
Electrical engineeringElectronics engineeringHydraulic engineeringData miningComputer science
Ksh 33,850.00
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This volume explains the benefits of using advanced analytics in technology industries like computer, telecommunication, aerospace, electronics, and so on. It covers how lower costs and democratized data increase access and management speed, dynamic forecasting and complete visibility into supply chains, and improvement of security measures.
Advanced analytics is revolutionizing the industrial sector, empowering technology enterprises to harness online data sources for actionable insights. These insights drive advancements in everything from operational process automation to enhancing customer experiences. This volume explores the transformative benefits of advanced analytics across technology-driven industries such as computing, telecommunications, aerospace, electronics, robotics, and e-commerce. It delves into how reduced costs, democratized data, and faster management capabilities enable dynamic forecasting, complete supply chain visibility, and enhanced security measures to ensure privacy compliance – even in remote work environments. Key features:A concise overview of cutting-edge analytics tailored for executives and managers in advanced industriesIdentification of critical opportunities for optimizing industrial operationsPractical guidance on implementing advanced data analytics through real-world case studies and examplesProven approaches and methodologies to enhance data-driven decision-makingInsights and lessons from digital transformation efforts in adjacent sectorsThis volume is an essential resource for researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering.
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