MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02771dam a2200349 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
0000089718 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
0001 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180228t20142014njua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780133801286 (hardback) |
|
|---|
| International Standard Book Number |
0133801284 (hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
SINLB |
| Language of cataloging |
eng |
| Transcribing agency |
SINLB |
| Description conventions |
rda |
| Modifying agency |
BDX |
| -- |
NLGGC |
| -- |
BTCTA |
| -- |
YDXCP |
| -- |
OCLCO |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.7 |
| Edition number |
23 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
658.7 |
| Item number |
SAN-B |
| Number source |
bcl |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sanders, Nada R., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Big data driven supply chain management : |
| Medium |
[Book] |
| Remainder of title |
a framework for implementing analytics and turning information into intelligence / |
| Statement of responsibility, etc. |
Nada R. Sanders, Ph.D. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Upper Saddle River, New Jersey : |
| Name of producer, publisher, distributor, manufacturer |
Pearson Education, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2014. |
|
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
Ã2014 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
vii, 262 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
01 |
| Price amount |
0.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 229-248) and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery
using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance. |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
All. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business logistics. |
|
|---|
| Topical term or geographic name entry element |
Big data. |
|
|---|
| Topical term or geographic name entry element |
Business intelligence |
|
|---|
| Topical term or geographic name entry element |
Data mining |
| 852 ## - LOCATION |
|---|
| Accession No. |
57824 |
| -- |
5887.00 |
| -- |
Progressive International Agencies Pvt. Ltd. CUI Lahore |
| Former shelving location |
Books |
