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Mike West

People Analytics For Dummies

People Analytics For Dummies

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People analytics is the study of your people to create a happier and more engaged workforce. It helps you collect data, analyze it, and apply findings to improve business outcomes. This book provides tips and tools for getting started with people analytics.

Format: Paperback / softback
Length: 464 pages
Publication date: 30 April 2019
Publisher: John Wiley & Sons Inc


Maximizing performance with better data is essential for developing a successful workforce. Data can provide valuable insights and guidance on a wide range of decisions, from seating teams to optimizing production processes and engaging employees in meaningful ways. People analytics, as the study of your organization's most valuable asset, your people, is a powerful tool for creating a happier and more engaged workforce.

In this book, you will learn how to collect, analyze, and apply data to drive positive change in your organization. You will explore the fundamentals of people analytics, including data collection methods, qualitative data analysis, and the use of appropriate tools and approaches for data analysis.

One of the key benefits of people analytics is its ability to help organizations better understand why high performers leave, identify areas of concern within departments, and address employee violations. By analyzing data, organizations can gain valuable insights into employee behavior, preferences, and performance, which can be used to develop targeted strategies for improvement.

People analytics can also be used to optimize production processes and improve efficiency. By analyzing data on employee productivity, work patterns, and resource allocation, organizations can identify areas for improvement and implement strategies to enhance efficiency and productivity.

In addition to its practical applications, people analytics can also help organizations build a stronger culture of trust and engagement. By understanding the needs and preferences of employees, organizations can develop policies and practices that support their well-being and promote a positive work environment.

To start a people analytics project, organizations should begin by working with qualitative data. This can include surveys, focus groups, and interviews with employees to gain a deeper understanding of their experiences and perspectives. Qualitative data can provide valuable insights into employee behavior and preferences, which can be used to inform the development of quantitative data analysis.

Once qualitative data has been collected, organizations should collect quantitative data using appropriate tools and approaches. This can include data analytics software, employee performance metrics, and social media analytics. Quantitative data can provide a more objective and statistical view of employee performance and behavior, which can be used to develop more accurate insights and recommendations.

Finding the right tools and approach for analyzing data is essential for successful people analytics. Organizations should choose tools that are easy to use, accessible, and compatible with their existing systems and processes. They should also ensure that their data analysis team has the necessary skills and expertise to interpret and analyze data effectively.

In conclusion, maximizing performance with better data is essential for developing a successful workforce. People analytics provides a powerful tool for collecting, analyzing, and applying data to drive positive change in organizations. By understanding the needs and preferences of employees, organizations can optimize production processes, improve efficiency, build a stronger culture of trust and engagement, and ultimately create a happier and more engaged workforce. Whether you are a business leader, HR professional, or data analyst, this book will provide you with the knowledge and skills you need to start a people analytics project and make data-driven decisions that drive success.

Weight: 1192g
Dimension: 188 x 235 x 22 (mm)
ISBN-13: 9781119434764

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