Description
The Impact of Data Analytics on Employee Performance Management A Mixed-Method Study in Organizations
Abstract
The data analytics identify the data patterns and insights of a large data by utilizing the data analytic models and tools. Generally the data analytics are very significant in enabling valuable insights for decision making. This report explores the data analytics and its influence on employee performance management. However this report identifies the data analytics and its role in evaluating the performance of the employees, enhancing the operational productivity of the employees and providing important feedback on employee performance. Moreover the employee performance management is highly dependent on the data analytics. To make decisions related to development programs for the enhancement of employee performance.
To obtain the required data on the employee performance management and how it is influenced by the data analytics the report considers the mixed-method research methodology. However this data consists of the employee efficiency levels and the engagement of employees at the workplace. This report examines how the performance effectiveness can be achieved by the data-driven management decisions. This analysis also examines the role of data analytics in setting the performance goals for the employees.
This research approach involves the detailed discussions with the management teams, HR’s, employees. These discussions and surveys provides the actual data on the data analytics and its impact on the performance management of the employees. This report also discusses the benefits and risks involved in the incorporation of data analytics in to the performance management. This analysis empathizes the capability of data analytic models in enhancement of the employee productivity. Finally, the purpose of this report is to facilitate the comprehensive understanding to the management teams and organizations on the resourcefulness of data analytics. This report also aims to provide recommendations on efficient utility of the data analytic models to achieve the performance goals.
Read more about the topic
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