Demand Forecasting Best Practices
Product ID: 541202080
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Demand Forecasting Best Practices: 9781633438095: Computer Science Books @ desertcart.com Review: Great overview of how to build a forecasting system and get value from it - The author does a fantastic job of introducing all of the relevant aspects of forecasting demand. There's not an immense amount of technical depth, but that makes the high level insights very accessible for the layman. After reading it, I feel that the way forward (at least as far as the business logic) for building a forecasting system at my company seems much more clear. He wrote some other books that get more into the technical details of modeling demand and optimizing inventory. This book serves as a solid introduction to that content or as a companion book for non-technical co-workers to read for context. If you're technical and intend to build your own data infrastructure to do all of the work mentioned in this book, then you should try to find a good book on data engineering to pair with this author's work. I picked up Fundamentals of Data Engineering by Reis and Housley, and that seemed to compliment it well in my case. Review: Good - Delivered on time and the book quality is good
| Best Sellers Rank | #202,251 in Books ( See Top 100 in Books ) #70 in Data Processing #302 in Business Decision Making #539 in Decision-Making & Problem Solving |
| Customer Reviews | 4.6 4.6 out of 5 stars (36) |
| Dimensions | 7.38 x 0.5 x 9.25 inches |
| ISBN-10 | 1633438090 |
| ISBN-13 | 978-1633438095 |
| Item Weight | 12.8 ounces |
| Language | English |
| Print length | 216 pages |
| Publication date | June 13, 2023 |
| Publisher | Manning |
M**I
Great overview of how to build a forecasting system and get value from it
The author does a fantastic job of introducing all of the relevant aspects of forecasting demand. There's not an immense amount of technical depth, but that makes the high level insights very accessible for the layman. After reading it, I feel that the way forward (at least as far as the business logic) for building a forecasting system at my company seems much more clear. He wrote some other books that get more into the technical details of modeling demand and optimizing inventory. This book serves as a solid introduction to that content or as a companion book for non-technical co-workers to read for context. If you're technical and intend to build your own data infrastructure to do all of the work mentioned in this book, then you should try to find a good book on data engineering to pair with this author's work. I picked up Fundamentals of Data Engineering by Reis and Housley, and that seemed to compliment it well in my case.
J**U
Good
Delivered on time and the book quality is good
K**N
Good entry level book for novice supply chain and demand planning practicioners
Total rating 3.5 stars - please read below why. If you have not read any of Nicolas' books and are starting your journey to better understand these topics, you will most likely enjoy this book. The language is simple to grasp and it has good basics + references to further deepen your knowledge, if you wish. Considering this, I'd rate the book 4/5 stars. If you have already read the other two books Nicolas published (Data Science for Supply Chain Forecasting and Inventory Optimization) as I did, you frankly won't find a lot of new content in this book. I was expecting a little bit more and did not learn a lot of new eye opening things. It felt more like recycling of the content from the other books and cross-referencing to the other two books Nicolas published. Furthermore the font and spacing felt much larger compared to the other two books. So even though the book has 200 pages, I was able to finish it within a day whereas the other two books kept me entertained for a bit longer. Under these circumstances, I'd rate the book 3/5.
J**D
Llego en perfecto estado, super rapido y de excelente calidad.
J**H
One of the best books in Forecasting, great content, easy to read and good examples
Competition today is not between companies but rather between supply chains. The challenges are in being able to deliver value to our customers with a quality product or service. For a manufacturing company, inventory management, having materials on time, avoiding downtime between various activities is also a product of making a good forecast. This is where the author focuses in this book and gives us a clear vision of what we should and should not do. The emphasis that we must use unrestricted demand to make our forecasts is crucial and the explanation of the difference from making projections based solely on historical sales. Very well written and excellent supporting references that are included in each chapter. Very comprehensive reading! Highly recommended for everyone on this field.
A**R
Master Demand Planning Excellence with Nicolas Vandeput's Best Practices Guide
Nicolas Vandeput's Demand Planning Best Practices is an indispensable guide, offering a clear path to success in demand planning. With a focus on setting objectives, data quality, benchmarking, teamwork, metric analysis, and process review, it's a comprehensive resource that deserves a solid five-star rating.
M**Y
Nerdy Topic Made Interesting
As a data nerd who works in logistics, I thoroughly enjoyed this read. Relevant content. Great writer. Highly recommended!
N**R
Nicholas has a great impact in my career, his insights on forecasting and demand planning is helpful. His books and wisdom have guided me a lot and expertise continues to inspire me.
D**O
Esta me ajudando muito, estou começando na área e cobre muito do que um iniciante precisa. Dando clareza ao que significa previsão de demanda
F**T
I can highly recommend this book if you want to review your demand planning process and bring it to the next level. It is full of so many practical advises and 100% to the point. Furthermore Nicolas outlines risks & opportunities and gives great advises how to handle objectives and expectations regarding forecast accuracy.
A**R
In my time I have read a few S&OP books. This book definitely has the most practical advice and has been very thought provoking and reflective on what changes we can make to our S&OP process and how it is working. My only criticism would be that even though this book is very long I would have been happy for it to go into even more detail with some of the topics.
C**N
highly recommended this book as well as the other two: inventory optimization and data science for supply chain forecasting.
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