Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/3727
Title: Forecasting
Authors: Değirmencioğlu, Y.
Akyurt, İ.Z.
Issue Date: 2023
Publisher: CRC Press
Abstract: Forecasting processes take into account past consumer behavior as well as current trends. This method requires not only predicting future demand but also explaining previous demand behavior and the factors influencing that behavior. As the amount of data in businesses grows, it becomes increasingly challenging to create accurate and timely predictions. For businesses that wish to maintain their competitiveness, making accurate and quick predictions is unavoidable. New technologies such as powerful artificial intelligence algorithms, cloud computing, machine learning, data mining, and simulation facilitate the classification, sorting, processing, and interpretation of data. Thus, managers can make dynamic, fast, and satisfactory forecasts. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.
URI: https://doi.org/10.1201/9781003180302-4
https://hdl.handle.net/20.500.13091/3727
ISBN: 9781000846836
9781032018430
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

Show full item record

CORE Recommender

Page view(s)

8
checked on Mar 20, 2023

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.