Business analytics : combining data, analysis & judgement to inform decisions / Mary Ellen Gordon.

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Material type: Text

TextLanguage: English Publication details: London : Sage, 2023.Description: xiv, 219 pages : illustrations, map ; 24 cmISBN:

9781529796124
1529796121
9781529796117
1529796113

Subject(s):

Additional physical formats: ebook version :: No titleDDC classification:

658.401 23 GOR

Contents:

Chapter 1: How Data And Analytics Can Enhance Human Decision-Making In OrganisationsChapter 2: Why Organisational, Legal, Cultural, And Ethical Considerations Shape What Can And Should Be Done With Data And AnalyticsChapter 3: Preparing To Work With DataChapter 4: Analysis FundamentalsChapter 5: Communicating Analytical ResultsChapter 6: Marketing AnalyticsChapter 7: HR / People AnalyticsChapter 8: Operational AnalyticsChapter 9: Financial AnalyticsChapter 10: The Future Of Data And Analytics

Summary: This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement. Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
General Books	CUTN Central Library Medicine, Technology & Management	Non-fiction	658.401 GOR (Browse shelf(Opens below))	Available	52047

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Includes bibliographical references and index.

This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement. Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data.

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