| 000 -LEADER |
|---|
| fixed length control field |
02166nam a22001937a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
260924b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781265874902 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
Kampala University Jinja |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.23 .J344 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.4030285 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Jaggia, Sanjiv, 1960-, |
| Dates associated with a name |
Author |
| 9 (RLIN) |
10275 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Business analytics : communicating with numbers / |
| Statement of responsibility, etc |
Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
c2025b Release |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
McGraw Hill LLC, New York, NY, |
| Date of publication, distribution, etc |
[2025] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Data and analytics capabilities have made a leap forward in recent years and have changed the way businesses make decisions. The explosion in the field is partly due to the growing availability of vast amounts of data, improved computational power, and the development of sophisticated algorithms. More than ever, colleges and universities require a curriculum that emphasizes business analytics, while companies seek datasavvy professionals capable of transforming data into actionable insights. We wrote Business Analytics: Communicating with Numbers from the ground up to equip students with the skills to understand, manage, and visualize the data; apply the appropriate analysis tools; and communicate the findings and their relevance. The text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. Experiential learning opportunities have been proven effective in teaching applied and complex subjects such as business analytics. In this text, we provide a holistic analytics process, including dealing with real-life data that are not necessarily "clean" and/or "small." We also emphasize effective storytelling and assist students in articulating the business value of analytics. This involves communicating insights gained from a nontechnical standpoint, ensuring that practical implications are understood across stakeholders"-- Provided by publisher |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Includes index |
| Source |
Description based on print version record and CIP data provided by publisher; resource not viewed |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |
