UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 7 | July 2024

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Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRGI06011


Registration ID:
542497

Page Number

65-70

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Title

EMPLOYEE DASHBOARD LANDSCAPE

Authors

Abstract

This paper presents a task and attendance monitoring system for HR that was created with Power BI. The technology gives HR staff members an extensive dashboard to efficiently view and monitor employee activity. The dashboard has important components such Participation HR can spot trends, patterns, and possible attendance issues with the help of the monitoring system, which operates on real-time or historical attendance data that is shown. Employee Skills & Roles: This part provides a clear picture of the skill sets and roles assigned to employees, which aids in properly allocating projects and managing resources. Project Assignments: By monitoring each employee's current project assignments, the dashboard enables HR to comprehend task distribution. Customization: Stress the value of the dashboard's customization features, which let staff members adjust their experiences to suit their requirements, roles, and preferences. Notifications, widget customization, and interaction with other organizational software tools are a few examples of this. Security: Talk about the security protocols put in place to safeguard sensitive employee data within the dashboard, including role-based access control, encryption, and adherence to data protection laws like HIPAA and GDPR. Scalability: Discuss how the employee dashboard may be scaled to meet the organization's rising requirements, including adding more users, integrating with other software programs, or adjusting to modifications in business procedures. User Experience: Talk about how crucial it is to have an easy-to-use interface and simple navigation to make sure that staff members

Key Words

Chatgpt, AI tool, Java script

Cite This Article

"EMPLOYEE DASHBOARD LANDSCAPE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.65-70, June-2024, Available :http://www.jetir.org/papers/JETIRGI06011.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"EMPLOYEE DASHBOARD LANDSCAPE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp65-70, June-2024, Available at : http://www.jetir.org/papers/JETIRGI06011.pdf

Publication Details

Published Paper ID: JETIRGI06011
Registration ID: 542497
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.40041
Page No: 65-70
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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