Demand forecasting best practices

Lead your demand planning process to excellence and deliver real value to your supply chain. In Demand Forecasting Best Practices you'll learn how to: Lead your team to improve quality while reducing workload Properly define the objectives and granularity of your demand planning Use intelligent...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Vandeput, Nicolas (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: [Place of publication not identified] Manning Publications 2023
Schlagworte:
Online-Zugang:lizenzpflichtig
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000cam a22000002 4500
001 ZDB-30-ORH-100397999
003 DE-627-1
005 20240228122133.0
007 cr uuu---uuuuu
008 240129s2023 xx |||||o 00| ||eng c
035 |a (DE-627-1)100397999 
035 |a (DE-599)KEP100397999 
035 |a (ORHE)9781633438095AU 
035 |a (DE-627-1)100397999 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
082 0 |a 658.5/03  |2 23/eng/20240205 
100 1 |a Vandeput, Nicolas  |e VerfasserIn  |4 aut 
245 1 0 |a Demand forecasting best practices  |c Nicolas Vandeput 
264 1 |a [Place of publication not identified]  |b Manning Publications  |c 2023 
300 |a 1 online resource (1 audio file) 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Online resource; title from title details screen (O'Reilly, viewed February 05, 2024) 
520 |a Lead your demand planning process to excellence and deliver real value to your supply chain. In Demand Forecasting Best Practices you'll learn how to: Lead your team to improve quality while reducing workload Properly define the objectives and granularity of your demand planning Use intelligent KPIs to track accuracy and bias Identify areas for process improvement Help planners and stakeholders add value Determine relevant data to collect and how best to collect it Utilize different statistical and machine learning models An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster. This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput's original five step framework for demand planning excellence and learn how to tailor it to your own company's needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You'll soon be delivering accurate predictions that are driving major business value. About the Technology An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster. About the Book Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput's original five step framework for demand planning excellence and learn how to tailor it to your own company's needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You'll soon be delivering accurate predictions that are driving major business value. What's Inside Enhance forecasting quality while reducing team workload Utilize intelligent KPIs to track accuracy and bias Identify process areas for improvement Assist stakeholders in sales, marketing, and finance Optimize statistical and machine learning models About the Reader For demand planners, sales and operations managers, supply chain leaders, and data scientists. About the Author Nicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France. Quotes This new book continues to push the FVA mindset, illustrating practices that drive the efficiency and effectiveness of the business forecasting process. - Michael Gilliland, Editor-in-Chief, Foresight: Journal of Applied Forecasting A must-read for any SCM professional, data scientist, or business owner. It's practical, accessible, and packed with valuable insights. - Edouard Thieuleux, Founder of AbcSupplyChain An exceptional resource that covers everything from basic forecasting principles to advanced forecasting techniques using artificial intelligence and machine learning. The writing style is engaging, making complex concepts accessible to both beginners and experts. - Daniel Stanton, Mr. Supply Chain® Nicolas did it again! Demand Forecasting Best Practices provides practical and actionable advice for improving the demand planning process. - Professor Spyros Makridakis, The Makridakis Open Forecasting Center, Institute For the Future (IFF), University of Nicosia This book is now my companion on all of our planning and forecasting projects. A perfect foundation for implementation and also to recommend process improvements. - Werner Nindl, Chief Architect - CPM Practice Director, Pivotal Drive This author understands the nuances of forecasting, and is able to explain them well. - Burhan Ul Haq, Director of Products, Enablers Both broader and deeper than I expected. - Maxim Volgin, Quantitative Marketing Manager, KLM Great book with actionable insights. - Simon Tschk̲e, Head of Research, German Edge Cloud. 
650 0 |a Business logistics 
650 0 |a Demand (Economic theory) 
650 0 |a Business forecasting 
650 4 |a Logistique (Organisation) 
650 4 |a Demande (Théorie économique) 
650 4 |a Prévision commerciale 
650 4 |a Audiobooks 
650 4 |a Livres audio 
856 4 0 |l TUM01  |p ZDB-30-ORH  |q TUM_PDA_ORH  |u https://learning.oreilly.com/library/view/-/9781633438095AU/?ar  |m X:ORHE  |x Aggregator  |z lizenzpflichtig  |3 Volltext 
912 |a ZDB-30-ORH 
951 |a BO 
912 |a ZDB-30-ORH 
049 |a DE-91 

Datensatz im Suchindex

DE-BY-TUM_katkey ZDB-30-ORH-100397999
_version_ 1818767372832473088
adam_text
any_adam_object
author Vandeput, Nicolas
author_facet Vandeput, Nicolas
author_role aut
author_sort Vandeput, Nicolas
author_variant n v nv
building Verbundindex
bvnumber localTUM
collection ZDB-30-ORH
ctrlnum (DE-627-1)100397999
(DE-599)KEP100397999
(ORHE)9781633438095AU
dewey-full 658.5/03
dewey-hundreds 600 - Technology (Applied sciences)
dewey-ones 658 - General management
dewey-raw 658.5/03
dewey-search 658.5/03
dewey-sort 3658.5 13
dewey-tens 650 - Management and auxiliary services
discipline Wirtschaftswissenschaften
format Electronic
eBook
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05671cam a22004092 4500</leader><controlfield tag="001">ZDB-30-ORH-100397999</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228122133.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240129s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)100397999</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP100397999</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781633438095AU</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)100397999</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658.5/03</subfield><subfield code="2">23/eng/20240205</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Vandeput, Nicolas</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Demand forecasting best practices</subfield><subfield code="c">Nicolas Vandeput</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">Manning Publications</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 audio file)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from title details screen (O'Reilly, viewed February 05, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Lead your demand planning process to excellence and deliver real value to your supply chain. In Demand Forecasting Best Practices you'll learn how to: Lead your team to improve quality while reducing workload Properly define the objectives and granularity of your demand planning Use intelligent KPIs to track accuracy and bias Identify areas for process improvement Help planners and stakeholders add value Determine relevant data to collect and how best to collect it Utilize different statistical and machine learning models An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster. This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput's original five step framework for demand planning excellence and learn how to tailor it to your own company's needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You'll soon be delivering accurate predictions that are driving major business value. About the Technology An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster. About the Book Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput's original five step framework for demand planning excellence and learn how to tailor it to your own company's needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You'll soon be delivering accurate predictions that are driving major business value. What's Inside Enhance forecasting quality while reducing team workload Utilize intelligent KPIs to track accuracy and bias Identify process areas for improvement Assist stakeholders in sales, marketing, and finance Optimize statistical and machine learning models About the Reader For demand planners, sales and operations managers, supply chain leaders, and data scientists. About the Author Nicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France. Quotes This new book continues to push the FVA mindset, illustrating practices that drive the efficiency and effectiveness of the business forecasting process. - Michael Gilliland, Editor-in-Chief, Foresight: Journal of Applied Forecasting A must-read for any SCM professional, data scientist, or business owner. It's practical, accessible, and packed with valuable insights. - Edouard Thieuleux, Founder of AbcSupplyChain An exceptional resource that covers everything from basic forecasting principles to advanced forecasting techniques using artificial intelligence and machine learning. The writing style is engaging, making complex concepts accessible to both beginners and experts. - Daniel Stanton, Mr. Supply Chain® Nicolas did it again! Demand Forecasting Best Practices provides practical and actionable advice for improving the demand planning process. - Professor Spyros Makridakis, The Makridakis Open Forecasting Center, Institute For the Future (IFF), University of Nicosia This book is now my companion on all of our planning and forecasting projects. A perfect foundation for implementation and also to recommend process improvements. - Werner Nindl, Chief Architect - CPM Practice Director, Pivotal Drive This author understands the nuances of forecasting, and is able to explain them well. - Burhan Ul Haq, Director of Products, Enablers Both broader and deeper than I expected. - Maxim Volgin, Quantitative Marketing Manager, KLM Great book with actionable insights. - Simon Tschk̲e, Head of Research, German Edge Cloud.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Business logistics</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Demand (Economic theory)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Business forecasting</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logistique (Organisation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Demande (Théorie économique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prévision commerciale</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Audiobooks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Livres audio</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781633438095AU/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection>
id ZDB-30-ORH-100397999
illustrated Not Illustrated
indexdate 2024-12-18T08:48:50Z
institution BVB
language English
open_access_boolean
owner DE-91
DE-BY-TUM
owner_facet DE-91
DE-BY-TUM
physical 1 online resource (1 audio file)
psigel ZDB-30-ORH
publishDate 2023
publishDateSearch 2023
publishDateSort 2023
publisher Manning Publications
record_format marc
spelling Vandeput, Nicolas VerfasserIn aut
Demand forecasting best practices Nicolas Vandeput
[Place of publication not identified] Manning Publications 2023
1 online resource (1 audio file)
Text txt rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Online resource; title from title details screen (O'Reilly, viewed February 05, 2024)
Lead your demand planning process to excellence and deliver real value to your supply chain. In Demand Forecasting Best Practices you'll learn how to: Lead your team to improve quality while reducing workload Properly define the objectives and granularity of your demand planning Use intelligent KPIs to track accuracy and bias Identify areas for process improvement Help planners and stakeholders add value Determine relevant data to collect and how best to collect it Utilize different statistical and machine learning models An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster. This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput's original five step framework for demand planning excellence and learn how to tailor it to your own company's needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You'll soon be delivering accurate predictions that are driving major business value. About the Technology An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster. About the Book Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput's original five step framework for demand planning excellence and learn how to tailor it to your own company's needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You'll soon be delivering accurate predictions that are driving major business value. What's Inside Enhance forecasting quality while reducing team workload Utilize intelligent KPIs to track accuracy and bias Identify process areas for improvement Assist stakeholders in sales, marketing, and finance Optimize statistical and machine learning models About the Reader For demand planners, sales and operations managers, supply chain leaders, and data scientists. About the Author Nicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France. Quotes This new book continues to push the FVA mindset, illustrating practices that drive the efficiency and effectiveness of the business forecasting process. - Michael Gilliland, Editor-in-Chief, Foresight: Journal of Applied Forecasting A must-read for any SCM professional, data scientist, or business owner. It's practical, accessible, and packed with valuable insights. - Edouard Thieuleux, Founder of AbcSupplyChain An exceptional resource that covers everything from basic forecasting principles to advanced forecasting techniques using artificial intelligence and machine learning. The writing style is engaging, making complex concepts accessible to both beginners and experts. - Daniel Stanton, Mr. Supply Chain® Nicolas did it again! Demand Forecasting Best Practices provides practical and actionable advice for improving the demand planning process. - Professor Spyros Makridakis, The Makridakis Open Forecasting Center, Institute For the Future (IFF), University of Nicosia This book is now my companion on all of our planning and forecasting projects. A perfect foundation for implementation and also to recommend process improvements. - Werner Nindl, Chief Architect - CPM Practice Director, Pivotal Drive This author understands the nuances of forecasting, and is able to explain them well. - Burhan Ul Haq, Director of Products, Enablers Both broader and deeper than I expected. - Maxim Volgin, Quantitative Marketing Manager, KLM Great book with actionable insights. - Simon Tschk̲e, Head of Research, German Edge Cloud.
Business logistics
Demand (Economic theory)
Business forecasting
Logistique (Organisation)
Demande (Théorie économique)
Prévision commerciale
Audiobooks
Livres audio
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781633438095AU/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Vandeput, Nicolas
Demand forecasting best practices
Business logistics
Demand (Economic theory)
Business forecasting
Logistique (Organisation)
Demande (Théorie économique)
Prévision commerciale
Audiobooks
Livres audio
title Demand forecasting best practices
title_auth Demand forecasting best practices
title_exact_search Demand forecasting best practices
title_full Demand forecasting best practices Nicolas Vandeput
title_fullStr Demand forecasting best practices Nicolas Vandeput
title_full_unstemmed Demand forecasting best practices Nicolas Vandeput
title_short Demand forecasting best practices
title_sort demand forecasting best practices
topic Business logistics
Demand (Economic theory)
Business forecasting
Logistique (Organisation)
Demande (Théorie économique)
Prévision commerciale
Audiobooks
Livres audio
topic_facet Business logistics
Demand (Economic theory)
Business forecasting
Logistique (Organisation)
Demande (Théorie économique)
Prévision commerciale
Audiobooks
Livres audio
url https://learning.oreilly.com/library/view/-/9781633438095AU/?ar
work_keys_str_mv AT vandeputnicolas demandforecastingbestpractices