| 000 -LEADER |
|---|
| fixed length control field |
03087cam a2200397 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
18097349 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
APU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20160311051506.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
140331s2015 maua 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2014937092 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBB454685 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
016727557 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781305115088 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1305115082 (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn880772910 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UKMGB |
| Language of cataloging |
eng |
| Transcribing agency |
APU |
| Modifying agency |
WAN |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.2 |
| Item number |
.B35 2015 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.740684 |
| Item number |
BAK 2015 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Baker, Pam. |
| 9 (RLIN) |
35335 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data divination : |
| Remainder of title |
big data strategies / |
| Statement of responsibility, etc |
Pam Baker, [with special contribution by Bob Gourley]. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
USA : |
| Name of publisher, distributor, etc |
Cengage Learning, |
| Date of publication, distribution, etc |
c2015. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 416 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
What is big data, really? -- How to fomulate a winning big data strategy -- How to ask the "right" questions of big data -- How to pick the "right" data sources -- Why the answer to your big data question resembles a Rubik's cube -- The role of real-time analytics in rolling your strategy -- The big data value propostion and monetization -- Rise of the collaborative economy and ways to profit from it -- The privacy conundrum -- Use cases in the department of defense and intelligence community -- Use cases in governments -- Use cases in security -- Use cases in healthcare -- Use cases in small businesses and farms -- Use cases in transportation -- Use cases in energy -- Uses cases in retail -- Use cases in banking and financial services -- Use cases in manufacturing -- Empowering the workforce -- Executive summary. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive flow of data--both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the wider society. Used effectively, big data can drive businesses in the direction of more accurate analyses of vital information, leading ultimately to greater operational efficiencies, cost reductions, reduced risk, speedier innovations, and increased and new revenue. In this book, you'll find detailed instruction in big data strategy development and implementation, supported by numerous real-world business cases in ten distinct industries. You will learn what big data is and how to wield it--from calculating ROI and making a business case to developing overall and project-specific strategies that actually work. Each chapter answers key questions and will give you the skills you need to make your big data projects succeed. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information technology |
| General subdivision |
Management. |
| 9 (RLIN) |
688 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data. |
| 9 (RLIN) |
35336 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Business |
| General subdivision |
Data processing. |
| 9 (RLIN) |
136 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Database management. |
| 9 (RLIN) |
124 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gourley, Bob. |
| 9 (RLIN) |
35337 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
| Koha issues (borrowed), all copies |
5 |
