Key business analytics : (Record no. 24236)

MARC details
000 -LEADER
fixed length control field 03292cam a2200325 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CUTN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20171221152808.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150724t20162016enk b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781292017433
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781292017457
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781292017440
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781292017464
041 ## - LANGUAGE CODE
Language English
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.401
Edition number 23
Item number MAR
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Marr, Bernard,
245 10 - TITLE STATEMENT
Title Key business analytics :
Remainder of title the 60+ business analysis tools every manager needs to know /
Statement of responsibility, etc Bernard Marr.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Harlow :
Name of publisher, distributor, etc England Pearson,
Date of publication, distribution, etc 2016.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 259 pages ;
Dimensions 24 cm
500 ## - GENERAL NOTE
General note Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimise their internal processes and identify cost savings and growth opportunities
505 ## - FORMATTED CONTENTS NOTE
Contents Introduction The Raw Material - Data Data Types and Format How to use this book Part One: Bare Analytics 1: Business Experiments / Experimental Design / AB testing 2: Visual Analytics 3: Correlation Analysis 4: Scenario Analysis 5: Forecasting / Time Series Analysis 6: Data mining 7: Regression Analysis 8: Text Analytics 9: Sentiment analysis 10: Image Analytics 11: Video Analytics 12: Voice Analytics 13: Monte Carlo Simulation 14: Linear Programming 15: Cohort Analysis 16: Factor analysis 17: Neural Network Analysis 18: Meta Analytics - Literature Analysis The Part II: Analytics Input Tools or Data Collection Methods 19: Quantitative Surveys 20: Qualitative Surveys 21: Focus Groups 22: Interviews 23: Ethnography 24: Text Capture 25: Image Capture26: Sensor Data 27: Machine data capture Part Three: Financial Analytics 28: Predictive sales analytics 29: Customer Profitability analytics 30: Product Profitability analytics 31: Cashflow analytics 32: Value Driver Analytics 33: Shareholder value analytics 34: Risk Reward Analytics 35: Unmet need analytics 36: Market Size Analytics 37: Demand Forecasting 38: Market Trend Analytics 39: Non-customer analytics 40: Competitor analytics 41: Pricing analytics 42: Marketing channel analytics 43: Brand Analytics Part Five: Customer Analytics 44: Customer satisfaction analysis 45: Customer Lifetime Value Analytics 46: Customer segmentation analytics 47: Sales Channel Analytics 48: Web Analytics 49: Social Media Analytics 50: Customer Engagement Analytics 51: Customer Churn Analytics 52: Customer acquisition analytics Part Six: Employee Analytics 53: Capability Analytics 54: Capacity Analytics 55: Employee Churn Analytics 56: Recruitment channel analytics 57: Competency acquisition analytics 58: Employee Performance Analytics 59: Corporate culture analytics 60: Leadership Analytics Part Seven: Operational Analytics 61: Fraud Detection Analytics 62. Core Competency Analytics 63: Supply Chain Analytics 64: Lean Six Sigma Analytics 65. Capacity Utilisation Analytics 66: Project and Program Analytics 67. Environmental Impact Analytics 68: Corporate Social Responsibility (CSR) Analytics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Benchmarking (Management)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business planning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Performance.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type General Books
100 1# - MAIN ENTRY--PERSONAL NAME
Relator term author.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
General subdivision Statistical methods.
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Medicine, Technology & Management 21/12/2017   658.401 MAR 28417 21/12/2017 21/12/2017 General Books
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Medicine, Technology & Management 21/12/2017   658.401 MAR 28418 21/12/2017 21/12/2017 General Books
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Medicine, Technology & Management 21/12/2017   658.401 MAR 28419 21/12/2017 21/12/2017 General Books
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Medicine, Technology & Management 21/12/2017   658.401 MAR 28420 21/12/2017 21/12/2017 General Books
    Dewey Decimal Classification   Not For Loan Reference CUTN Central Library CUTN Central Library Medicine, Technology & Management 21/12/2017   658.401 MAR 28421 04/02/2020 21/12/2017 Reference Books