Download PDFOpen PDF in browserLeveraging Data for Actionable Insights and Engagement StrategiesEasyChair Preprint 1321823 pages•Date: May 7, 2024AbstractEmployee experience has emerged as a critical factor in organizational success, impacting employee engagement, productivity, and overall business performance. To effectively manage and enhance employee experience, organizations are turning to employee experience analytics, leveraging data to gain actionable insights and develop effective engagement strategies. This abstract provides an overview of the importance and benefits of employee experience analytics, highlighting its role in driving employee satisfaction and organizational success.
The abstract begins by defining employee experience analytics and emphasizing the significance of leveraging data in understanding and improving the employee experience. It outlines the structure of the paper, which covers various aspects of employee experience analytics, including data collection, analysis techniques, actionable insights, and engagement strategies.
The abstract highlights the types of data used in employee experience analytics, such as qualitative and quantitative data, and explores different data collection methods, such as surveys, interviews, and performance metrics. It discusses the importance of data preprocessing and cleaning to ensure accurate analysis.
The abstract then delves into the analytical techniques employed in employee experience analytics. It covers descriptive analytics, which involves identifying key performance indicators and using data visualization to gain insights. It also discusses diagnostic analytics, which helps uncover patterns and root causes of employee experience issues. Predictive analytics is explored as a means to forecast outcomes and develop proactive strategies, while prescriptive analytics focuses on recommending actions based on insights. Keyphrases: Actionable Insights, Employee Engagement, engagement strategies, organizational success
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