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Author : Author 1 : NAVEEN SAIKRISHNA PUPPALA, Author 2 : MASTER DR. S. B. KISHOR
Genre : Computers
Summary : PREFACE In today’s hyper-connected global economy, supply chains have evolved from linear, function-centric processes into complex, data-driven ecosystems. As enterprises strive to remain agile, resilient, and customer-centric, the ability to harness and operationalize vast quantities of supply-chain data has become a strategic imperative. Enterprise Intelligence: Building Scalable Data Products for the Digital Supply Chain is designed to guide practitioners, architects, and decision-makers through the journey of transforming raw data into actionable intelligence that fuels competitive advantage. Drawing upon both industry best practices and cutting-edge research, this book is organized into eleven interrelated chapters, each addressing a critical dimension of end-to-end data-product development: · Foundations of Enterprise Intelligence in the Supply Chain establishes the conceptual framework, defining key principles and illustrating how data products differ from traditional reporting and analytics. · Architecting Scalable Data Infrastructure delves into the technology stack storage, compute, and networking required to support high-volume, low-latency workflows. · Data Governance and Quality in Supply Chain Systems underscores the importance of trust, consistency, and compliance, presenting methodologies to measure and enforce data integrity. · Real-Time Data Ingestion and Processing Pipelines explores modern stream-processing architectures that enable timely insights and reactive decision-making. · AI and ML for Predictive Supply Chain Intelligence demonstrates how machine learning models can anticipate demand fluctuations, optimize routes, and reduce inventory costs. · Digital Twins and Simulation for Operational Optimization shows how virtual replicas of physical systems empower “what-if” analyses and continuous process improvement. · Intelligent Inventory and Demand Planning Systems focuses on advanced algorithms for balancing stock levels, minimizing stockouts, and adapting to shifting market conditions. · Supplier and Risk Intelligence Platforms examines frameworks for evaluating supplier performance, forecasting disruptions, and automating risk mitigation. · Orchestrating Data Products for Supply Chain Collaboration addresses the cultural and technical mechanisms needed to share insights across organizational boundaries. · Cloud-Native Integration with ERP and Logistics Systems guides readers through seamless connectivity with enterprise resource planning and transportation-management solutions. · Visual Analytics and Decision Intelligence Dashboards demonstrates how intuitive, interactive interfaces translate complex data into clear, decision-ready insights. Whether you are building your first data-product prototype or scaling a global analytics platform, this book offers both strategic guidance and hands-on techniques. Throughout, you will find real-world examples, illustrative diagrams, and practical checklists designed to accelerate adoption and drive measurable outcomes. It is our hope that by the end of this journey, you will possess the knowledge and confidence to architect, deploy, and govern data products that unlock the full potential of your digital supply chain. Authors Naveen Saikrishna Puppala Master Dr. S. B. Kishor