Prescriptive analytics: mastering the spreadsheet of everything / Jeffrey M. Keisler. (Record no. 22379)

MARC details
000 -LEADER
fixed length control field 01792nam a22002057a 4500
005 - DATE & TIME
control field 20250508104112.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250508b |||||||| |||| 00| 0 eng d
020 ## - ISBN
International Standard Book Number 9783031593529
040 ## - CATALOGING SOURCE
Original cataloging agency Indian Institute of Management Raipur
082 ## - DDC NUMBER
Classification number 658.403
Book Number KEI-24
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Keisler, Jeffrey M
245 ## - TITLE STATEMENT
Title Prescriptive analytics: mastering the spreadsheet of everything / Jeffrey M. Keisler.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cham:
Name of publisher, distributor, etc Springer ,
Date of publication, distribution, etc 2024.
300 ## - PHYSICAL DESCRIPTION
Pages xxiii, 259 p
440 ## - Series Statement
Series Title Springer Texts in Business and Economics
500 ## - GENERAL NOTE
General note Summary: This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses only standard Excel spreadsheet features and functions for creating models. Using a step-by-step approach, readers learn a unified architecture for sensitivity, scenario, simulation, decision, and optimization analysis. Spreadsheets with numerous screenshots support visual, hands-on learning (and provide some surprising innovations). Special influence diagrams and non-intimidating but accurate terminology help explain the logic of the models and calculations. Well-structured chapters include guideposts, enrichment, and curated links to valuable external resources. Readers are encouraged to own their learning and think about future trajectories for themselves and the field. This book helps all readers quickly learn tools and concepts to use right away and to expand throughout a career. The book includes access to a companion website featuring workbooks and other valuable materials to support learning. (https://link.springer.com/book/10.1007/978-3-031-59353-6)
650 ## - Subject
Subject Business intelligence
650 ## - Subject
Subject Management--Statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Department Location (home branch) Sublocation or collection (holding branch) Shelving location Date acquired Vendor Name Discount Koha issues (times borrowed) Koha full call number Accession No. Koha date last seen Koha item type Price effective from
    Dewey Decimal Classification   Not for loan Reference Indian Institute of Management Raipur Indian Institute of Management Raipur Reference 26/04/2025 Overseas Press 35%   658.403 KEI-24 13340 08/05/2025 Books 08/05/2025