Organizational data can be one of the most valuable assets in a business. However, too often an organization's structure prevents the effective analysis of this data. This book solves that problem. People and Data is a practical guide for Organization Development (OD) professionals which explains how to structure an organization so that the business can collect data that is accurate, useful and impactful. This is the foundation of achieving valuable insights from organizational data. This book is full of practical tips and advice on how to design an organization where data is accessible to the whole workforce and not just kept in silos by those with data in their job title. This book also explains how to build data into the design of company culture as well as into workforce design, learning and development (L&D) and talent management initiatives. Finally, People and Data includes a toolkit with eight specific tools that can be used to build a better organization for data. Full of practical advice, key takeaways and real-world examples from companies including AT&T, Shell and J.P. Morgan this book is essential reading for all Organization Development (OD) professionals needing to ensure that their organization is structured to achieve the performance gains made possible by data and analytics.

Organizational data can be one of the most valuable assets in a business. However, too often an organization's structure prevents the effective analysis of this data. This book solves that problem. People and Data is a practical guide for Organization Development (OD) professionals which explains how to structure an organization so that the business can collect data that is accurate, useful and impactful. This is the foundation of achieving valuable insights from organizational data. This book is full of practical tips and advice on how to design an organization where data is accessible to the whole workforce and not just kept in silos by those with data in their job title. This book also explains how to build data into the design of company culture as well as into workforce design, learning and development (L&D) and talent management initiatives. Finally, People and Data includes a toolkit with eight specific tools that can be used to build a better organization for data. Full of practical advice, key takeaways and real-world examples from companies including AT&T, Shell and J.P. Morgan this book is essential reading for all Organization Development (OD) professionals needing to ensure that their organization is structured to achieve the performance gains made possible by data and analytics.

Collect data and build trust. With the rise of data science and machine learning, companies are awash in customer data and powerful new ways to gain insight from that data. But in the absence of regulation and clear guidelines from most federal or state governments, it's difficult for companies to understand what qualifies as reasonable use and then determine how to act in the best interest of their customers. How do they build, not erode, trust? Customer Data and Privacy: The Insights You Need from Harvard Business Review brings you today's most essential thinking on customer data and privacy to help you understand the tangled interdependencies and complexities of this evolving issue. The lessons in this book will help you develop strategies that allow your company to be a good steward, collecting, using, and storing customer data responsibly. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues&#8212blockchain, cybersecurity, AI, and more&#8212each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas&#8212and prepare you and your company for the future.

Collect data and build trust. With the rise of data science and machine learning, companies are awash in customer data and powerful new ways to gain insight from that data. But in the absence of regulation and clear guidelines from most federal or state governments, it's difficult for companies to understand what qualifies as reasonable use and then determine how to act in the best interest of their customers. How do they build, not erode, trust? Customer Data and Privacy: The Insights You Need from Harvard Business Review brings you today's most essential thinking on customer data and privacy to help you understand the tangled interdependencies and complexities of this evolving issue. The lessons in this book will help you develop strategies that allow your company to be a good steward, collecting, using, and storing customer data responsibly. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues&#8212blockchain, cybersecurity, AI, and more&#8212each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas&#8212and prepare you and your company for the future.

This informative book goes beyond the technical aspects of data management to provide detailed analyses of quality problems and their impacts, potential solutions and how they are combined to form an overall data quality program, senior management's role, methods used to make improvements, and the life-cycle of data quality. It concludes with case studies, summaries of main points, roles and responsibilities for each individual, and a helpful listing of "dos and don'ts".