Data Analytics for Organisational Development: Unleashing the Potential of Your Data
- Length: 368 pages
- Edition: 1
- Language: English
- Publisher: Wiley
- Publication Date: 2021-07-26
- ISBN-10: 1119758335
- ISBN-13: 9781119758334
- Sales Rank: #0 (See Top 100 Books)
A practical guide for anyone who aspires to become data analytics–savvy
Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data introduces a methodical process for gathering, screening, transforming, and analysing the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean Six Sigma Black Belt, this accessible guide explains and illustrates the application of data analytics for organizational development and design, with particular focus on Customer and Strategy Analytics, Operations Analytics and Workforce Analytics.
Designed as both a handbook and workbook, Data Analytics for Organisational Development presents the application of data analytics for organizational design and development using case studies and practical examples. It aims to help build a bridge between data scientists, who have less exposure to actual business issues, and the “non-data scientists.” With this guide, anyone can learn to perform data analytics tasks from translating a business question into a data science hypothesis to understanding the data science results and making the appropriate decisions. From data acquisition, cleaning, and transformation to analysis and decision making, this book covers it all. It also helps you avoid the pitfalls of unsound decision making, no matter where in the value chain you work.
- Follow the “Five Steps of a Data Analytics Case” to arrive at the correct business decision based on sound data analysis
- Become more proficient in effectively communicating and working with the data experts, even if you have no background in data science
- Learn from cases and practical examples that demonstrate a systematic method for gathering and processing data accurately
- Work through end-of-chapter exercises to review key concepts and apply methods using sample data sets
Data Analytics for Organisational Development includes downloadable tools for learning enrichment, including spreadsheets, Power BI slides, datasets, R analysis steps and more. Regardless of your level in your organisation, this book will help you become savvy with data analytics, one of today’s top business tools.
Cover Table of Contents Title Page Copyright Dedication Foreword Preface About the Authors Uwe H. Kaufmann Amy B.C. Tan Introduction: Why Data Analytics is Important Why This Book Has Been Written How This Book Is Structured What Tools Are Used What Is Provided Which Cases Should I Study? References List of Figures and Tables CHAPTER 1: Introduction to Data Analytics and Data Science Components of Data Analytics Big Data and its Relationship to Data Analytics Data Analytics – The Foundation for Data Science and Artificial Intelligence Phases of Data Analytics References List of Figures and Tables CHAPTER 2: Customer Domain – Customer Analytics Why Customer Analytics? Listen to the Voice of Your Existing Customers Understanding Customer Expectations Studying the Complete Customer Experience Designing Customer Surveys Conclusion Case 1: Great, We Have Improved … or Not? Case 2: What Drives our Patient Satisfaction? Case 3: How to Create a Patient Satisfaction Dashboard Conclusion References List of Figures and Tables CHAPTER 3: Process Domain – Operations Analytics Why Operations Analytics? Dimensions of Operations Analytics Roles and Deployment of Operations Analytics Conclusion Case 4: Which Supplier has the Better Product Quality? Case 5: Why Does Finance Pay Our Vendors Late? Case 6: Why Are We Wasting Blood? References List of Figures and Tables CHAPTER 4: Workforce Domain – Workforce Analytics Why Workforce Analytics? Dimensions of Workforce Analytics Putting Workforce Analytics into Practice Getting the Intent Right Workforce Analysts' Paradise is Employees' Nightmare – Managing the Change Summary Case 7: Do We Have Enough People to Run Our Organisation? – Workforce Planning Inside-Out Case 8: What Makes Our Staff Innovate? Case 9: What Does Our Engagement Survey Result Mean? Case 10: What Drives Our Staff Out? – Logistic Regression for Prediction and Decision Making References Table of Equations, Figures, Tables CHAPTER 5: Implementing Data Analytics for Organisational Development Making Better Decisions – Knowing the Risk of Being Wrong Ensuring the Success of Your Data Analytics Journey Steps for Implementing Data Analytics Ensuring the Management Walks and Talks Analytics Creating Excitement for Data Analytics and its Benefits Developing a Body of Knowledge – Start Small Using Analytics to Breakdown Silos Closing the Analytics Loop – Sustaining the Gains Outlook References List of Figures and Tables Materials for Download Index End User License Agreement
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