MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02037cam a2200325 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
20147039 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241201020003.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
171107s2018 maua 001 0 eng c |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2017048270 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781633694286 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MH/DLC |
| Language of cataloging |
eng |
| Transcribing agency |
MH |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.215 |
| Item number |
.H37 2018 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.403 |
| Edition number |
23 |
| Item number |
HAR-D |
| 110 ## - MAIN ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Harvard Business Review |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
HBR guide to data analytics basics for managers : |
| Remainder of title |
understand the numbers make better decisions present and persuade |
| Statement of responsibility, etc |
by Harvard Business Review Press |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Boston : |
| Name of publisher, distributor, etc |
Harvard Business Review, |
| Date of publication, distribution, etc |
©2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 231 p. : |
| Other physical details |
ill. ; |
| Dimensions |
23 cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
It Includes index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data, but leaving the analysis to others in your company just won't cut it. Now more than ever, managers must know how to tease insight from data--to understand where it comes from, make sense of the numbers, and use those findings to inform their toughest decisions. But how do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes a three-step process to get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Formulate hypotheses and test against them Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Management |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Quantitative research. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Decision making |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Decision support systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information visualization. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
1 |
