This book presents key concepts related to quantitative analysis in business.

It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts.

This second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER.

Formato	Tapa suave
Número de Páginas	192
Lenguaje	Inglés
Editorial	Business Expert Press
Fecha de Publicación	2020-12-14
Dimensiones	9.0" x 6.0" x 0.41" pulgadas
Letra Grande	No
Con Ilustraciones	No

Boyce, Wesley S.

Wesley S. Boyce has published in many journals--Journal of Business and Industrial Marketing, IMP Journal, International Journal of Managing Value and Supply Chains, Journal of Transport and Health--authored book chapters, and presented at several national conferences. His teaching areas include supply chain management, oper¬ations management, project management, and business analytics.

Olson, David L.

David L. Olson has published research in over 150 refereed journal arti¬cles, primarily on the topic of multiple objective decision-making and information technology. He has authored over 40 books. He is associate editor of a number of journals. He has made over 200 presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.

Nabavi, Majid

Majid Nabavi has published in Quality Management Journal, and presented research in regional and national conferences. His teaching areas include operations management, management science, database systems, and business analytics.