Synopsis "Business Forecasting"
Business Forecasting by David Francis Jordan is a comprehensive guide to the art and science of predicting future business trends and outcomes. The book covers a wide range of forecasting techniques and methodologies, including time series analysis, regression analysis, econometric modeling, and simulation. It also explores the role of data analytics and machine learning in business forecasting.The book is divided into three parts. Part one provides an overview of the principles and concepts of business forecasting, including the importance of accurate forecasting in decision-making, the different types of forecasting methods, and the challenges and limitations of forecasting.Part two delves deeper into the various forecasting techniques, with detailed explanations and examples of how to apply each method. The author also provides guidance on how to choose the right method for different types of forecasting problems, and how to evaluate the accuracy and reliability of forecasts.Part three focuses on the practical application of forecasting in business, including forecasting demand, sales, production, and financial performance. The author provides real-world case studies and examples to illustrate how forecasting can be used to improve business planning and decision-making.Overall, Business Forecasting is an essential resource for anyone involved in business planning, strategy, or decision-making. It provides a comprehensive and practical guide to the art and science of forecasting, and is an invaluable tool for anyone seeking to improve their forecasting skills and knowledge.This Is A New Release Of The Original 1921 Edition.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.
