The Cloud-Based Demand-Driven Supply Chain

1. Auflage 2018
ISBN: 978-1-119-47733-4
Verlag: Wiley

Buch, Englisch, 336 Seiten, Format (B × H): 160 mm x 231 mm, Gewicht: 567 g

It’s time to get your head in the cloud!

In today’s business environment, more and more people are requesting cloud-based solutions to help solve their business challenges. So how can you not only anticipate your clients’ needs but also keep ahead of the curve to ensure their goals stay on track?

With the help of this accessible book, you’ll get a clear sense of cloud computing and understand how to communicate the benefits, drawbacks, and options to your clients so they can make the best choices for their unique needs. Plus, case studies give you the opportunity to relate real-life examples of how the latest technologies are giving organizations worldwide the opportunity to thrive as supply chain solutions in the cloud.

- Demonstrates how improvements in forecasting, collaboration, and inventory optimization can lead to cost savings
- Explores why cloud computing is becoming increasingly important

- Takes a close look at the types of cloud computing
- Makes sense of demand-driven forecasting using Amazon's cloud

Whether you work in management, business, or IT, this is the dog-eared reference you’ll want to keep close by as you continue making sense of the cloud.

Autoren/Hrsg.

Sharma, Vinit

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

List of Figures xi

List of Tables xv

Preface xvii

Acknowledgments xix

Chapter 1 Demand-Driven Forecasting in the Supply Chain 1

Chapter 2 Introduction to Cloud Computing 43

Chapter 3 Migrating to the Cloud 91

Chapter 4 Amazon Web Services and Microsoft Azure 117

Chapter 5 Case Studies of Demand-Driven Forecasting in AWS 221

Chapter 6 Summary 237

Glossary 253

References 255

About the Author 291

Index 293

Über Autor(innen)

VINIT SHARMA is a cloud solutions architect at Microsoft where he continually pushes the cutting edge of the Microsoft data platform and artificial intelligence. He's worked in IT for more than fifteen years on projects involving cloud computing, virtualization, and enabling advanced analytics solutions for global teams in R&D, sales, and professional services. He is author of numerous white papers, methodologies, best practices, and implementation guides for the SAS Institute.