Skip to main content


A Study on Visual Analytics for Monitoring Employee OKRs and KPIs metrics with reference to Chimertech Pvt. Ltd

Issue Abstract

Abstract
This study explores at identifying the application of visual analytics in tracking employee performance by the use of Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs) within Chimertech Pvt. Ltd. The proposed research is intended to learn how data visualization tools may be used to facilitate effective monitoring and assessment of employee performance measures in the organization. The study incorporated a descriptive research design. The primary data was gathered using a questionnaire on 30 employees who were employed in various divisions such as Sales, Production, Research and Development, Information Technology and Operations. The collected data were analyzed using statistical methods like the correlation, regression analysis, and one-way ANOVA. The results show that there is a very close association between well outlined performance measures and the productivity of employees. Another point that the study makes is that visual dashboards and transparent performance tracking can assist the managers in keeping track of the progress made in a more efficient way. Moreover, frequent feedbacks, setting of goals, and effective communication lead to better performance of employees, as well as efficiency in the organization. The study highlights the need to align individual performance indicators to organizational goals.
Keywords: OKR, KPI, Employee Performance, Organizational Support, KPI Transparency, Performance Management. 


Author Information
R. Roshan Student, II - MBA, Dr. Geeta Kesavaraj Associate Professor, MBA, Department of Management Studies, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
Issue No
4
Volume No
6
Issue Publish Date
05 Apr 2026
Issue Pages
325-334

Issue References

References

 
 
 

1.Chimertech Pvt. Ltd. (2025). Employee KPI Survey Report, Internal Data Collection.
2.A.P. Moller – Maersk. (2024). Company Profile and Annual Report, Retrieved from https://www.maersk.com
3.Hair J. F., Black W. C., Babin B. J & Anderson R. E. (2019), Multivariate Data Analysis (8th ed.). Pearson Education.
4.Kothari C. R. (2004). Research Methodology: Methods and Techniques (2nd ed), New Age International Publishers.
5.Singh, Y. K., & Nath, R. (2010). Research Methodology, APH Publishing Corporation.
6.Statista (2025), Global KPI and Employee Performance Metrics Overview, Retrieved from https://www.statista.com