Employee performance and productivity are critical factors that significantly influence the overall success and growth of any organization. In today’s competitive business environment, organizations increasingly rely on data-driven approaches to enhance workforce efficiency and achieve strategic objectives. This study focuses on analyzing employee performance and productivity using dashboard analytics at Glauben Technologies. The primary objective of the study is to understand how dashboard analytics assists organizations in effectively monitoring employee performance, improving productivity levels, and supporting informed decision-making processes .Dashboard analytics provides a clear and visual representation of key performance indicators (KPIs), enabling managers and HR professionals to easily track employee activities, evaluate work efficiency, and identify areas that require improvement. By converting complex data into interactive charts and graphs, dashboards simplify the process of performance evaluation and enhance managerial understanding .The study is based on both primary and secondary data sources. Primary data was collected through a structured questionnaire distributed among employees to gather their opinions and experiences. Secondary data was obtained from company records, academic journals, and relevant online resources. To analyze the collected data, various statistical and analytical tools such as percentage analysis, weighted average method, charts, and graphical representations were used to ensure clarity and accuracy in interpretation. Furthermore, the study examines several key factors influencing employee performance, including motivation, work efficiency, time management, training effectiveness, and the role of digital dashboards in tracking productivity. The findings of the study reveal that dashboard analytics enhances transparency, improves communication, and helps in identifying performance gaps. It enables managers to take timely actions and make faster, more accurate decisions.