NLU Meghalaya Library

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Data analytics for organisational development : unleashing the potential of your data / Uwe H. Kaufmann, Amy B.C. Tan.

By: Contributor(s): Material type: TextPublisher: Chichester, West Sussex, United Kingdom : John Wiley & Sons, Ltd., 2021Copyright date: �2021Description: 1 online resource (xvi, 345 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119758327
  • 1119758327
  • 9781119758310
  • 1119758319
  • 1119758378
  • 9781119758372
Other title:
  • Data analytics for organizational development
Subject(s): Additional physical formats: Print version:: Data analytics for organisational developmentDDC classification:
  • 658/.0557 23
LOC classification:
  • HF5351 .K3237 2021
Online resources:
Contents:
Foreword Preface Introduction: Why Data Analytics is Important Chapter 1: Introduction to Data Analytics and Data Science Chapter 2: Customer Domain - Customer Analytics Chapter 3: Process Domain - Operations Analytics Chapter 4: Workforce Domain - Workforce Analytics Chapter 5: Implementing Data Analytics for Organisational Development Materials for Download Index
Summary: "Data analytics has become central to the operation of most businesses and an increasingly necessary skill that every manager should have. More and more organizations are also seeing the need to collect data on their operational environment and are widening the scope of their data analytics activities. Some researchers used to suggest that data analytics is mainly about the handling of user data produced by Customer Relationship Management (CRM) and similar systems and turning these into customer intelligence. The scope of data analytics, however, has now opened up to include all functions of an organization. Not only is there a move from the so-called Big Data analytics to analytics of any kind of data, there is also a healthy trend towards involving all levels of management and even staff into this not-so-new field of information management. This practical guide introduces a methodical process for gathering, screening, transforming and analyzing the correct set of data to ensure that they are a reliable variable for business decision-making."-- Provided by publisher.
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Includes bibliographical references and index.

"Data analytics has become central to the operation of most businesses and an increasingly necessary skill that every manager should have. More and more organizations are also seeing the need to collect data on their operational environment and are widening the scope of their data analytics activities. Some researchers used to suggest that data analytics is mainly about the handling of user data produced by Customer Relationship Management (CRM) and similar systems and turning these into customer intelligence. The scope of data analytics, however, has now opened up to include all functions of an organization. Not only is there a move from the so-called Big Data analytics to analytics of any kind of data, there is also a healthy trend towards involving all levels of management and even staff into this not-so-new field of information management. This practical guide introduces a methodical process for gathering, screening, transforming and analyzing the correct set of data to ensure that they are a reliable variable for business decision-making."-- Provided by publisher.

Description based on online resource; title from digital title page (viewed on August 16, 2021).

Foreword Preface Introduction: Why Data Analytics is Important Chapter 1: Introduction to Data Analytics and Data Science Chapter 2: Customer Domain - Customer Analytics Chapter 3: Process Domain - Operations Analytics Chapter 4: Workforce Domain - Workforce Analytics Chapter 5: Implementing Data Analytics for Organisational Development Materials for Download Index

John Wiley and Sons Wiley Online Library: Complete oBooks

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