Data Analytics for Organisational Development Unleashing the Potential of Your Data

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.

Uwe H Kaufmann (Singapore) is the founder of Centre for Organisational Effectiveness (COE), a business advisory firm operating out of Singapore. He is also Adjunct Senior Fellow at Singapore University of Technology and Design (SUTD) and an Affiliate Faculty at Singapore Management University Academy (SMU). He has over 20 years of experience in implementing organizational improvements and changes in a wide range of industries and has led a multitude of organizational development and business process improvement projects in government agencies as well as MNCs such as Bosch, Johnson & Johnson, JP Morgan, DB Schenke and Siemens. Uwe holds a PhD in Mechanical Engineering and is a certified Six Sigma Master Black Belt.

Amy BC Tan (Singapore) is Director and Partner at COE and Adjunct Senior Fellow at SUTD Academy. She has more than 20 years of experience in strategic HR management, organizational development, succession planning, performance management and leadership development in various industries and has held senior leadership positions with Nokia, Aon, Ministry of Manpower (Singapore) and Singapore 2010 Youth Olympic Games Organising Committee. In 2008, she was recognized by the Singapore Human Resource Institute with the Leading HR Leader Award. Amy is a certified Lean Six Sigma Black Belt and an accredited practitioner in executive coaching and psychological instruments.

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

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