Predictive and Simulation Analytics : Deeper Insights for Better Business Decisions

Walter R. Paczkowski

ISBN 10: 3031318862 / ISBN 13: 9783031318863

Published by Springer, 2023

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter not Elektronisches Buch, available at the book's affiliated Github.This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.

Seller Inventory # 9783031318863

Bibliographic Details

• Title: Predictive and Simulation Analytics : Deeper Insights for Better Business Decisions
• Publisher: Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 3031318862
• ISBN 13: 9783031318863
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 27D millimeters 241 millimeters width by 160 millimeters height by 27 millimeters depth
• Weight: 758 grams

About this title

Synopsis

This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github.

This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.

About the Author

Walter R. Paczkowski earned his Ph.D. in Economics at Texas A&M University and has worked at AT&T's Analytical Support Center, Market Analysis and Forecasting Division, and Business Research Division.  He was also a Member of the Technical Staff at AT&T Bell Labs before founding Data Analytics Corp., a statistical consulting and data modeling company, in 2001.  Dr. Paczkowski is a part-time lecturer in the Department of Economics and the Department of Statistics at Rutgers University.  He published six books in, what he refers to as, his Analytics Series.  His latest are Business Analytics: Data Science for Business Problems (Springer, 2021) and Modern Survey Analysis: Using Python for Deeper Insights (Springer, 2022).