MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01897 a2200193 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231107b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780367654191 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.74015 |
| Cutter |
ANN |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Annansingh, Fenio |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
DATA ANALYTICS FOR BUSINESS: |
| Remainder of title |
Foundations and Industry Applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Routledge |
| Date of publication, distribution, etc |
2022 |
| Place of publication, distribution, etc |
Oxon |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
276 p. |
| 520 ## - Remark |
|---|
| Summary, etc |
Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results.<br/><br/>The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements.<br/><br/>This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.<br/><br/>Source: https://www.routledge.com/Data-Analytics-for-Business-Foundations-and-Industry-Applications/Annansingh-Sesay/p/book/9780367654191 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data analytics - Foundations |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data analytics - Industry Applications |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sesay, Joseph Bon |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
Business Analytics |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Item type |
Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
