Research Paper | Computer Science & Engineering | India | Volume 8 Issue 11, November 2019
HR Analytics Model for Organizations
Aditi Sanjay, Manan Rao
Human resource predictive analytics is a developing application field of analytics for HR Management purposes. The reason for HR Management is estimating representative execution and commitment, examining workforce cooperation designs, dissecting worker beat and turnover and demonstrating representative lifetime esteem. The thought process of applying HR analytics is to improve exhibitions and produce better degree of profitability for associations through choice making dependent on information accumulation, HR measurements and predictive models. In this paper an analysis is performed on a sample data and the main goal here is to basically predict whether an employee working in a company will Stay or Leave within the next year.
Keywords: HR analytics, Analytics, Human Resource Management, Decision Making
Edition: Volume 8 Issue 11, November 2019
Pages: 305 - 309
How to Cite this Article?
Aditi Sanjay, Manan Rao, "HR Analytics Model for Organizations", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20202381, Volume 8 Issue 11, November 2019, 305 - 309
44 PDF Views | 41 PDF Downloads
Similar Articles with Keyword 'Analytics'
IT Infrastructure & Enterprise Applications - Organizations Strategy and Planning
Analytics of Application Resource Utilization within the Virtual Machine
Information Acquisition Utilizing Parallel Rough Set and MapReduce from Big Information
Sachin Jadhav, Shubhangi Suryawanshi
Live Data Stream Classification for Reducing Query Processing Time: Design and Analysis
Spraha Kamriya, Vandana Kate
A Random Walk through the Dark Side of NoSQL Databases in Big Data Analytics
Kudakwashe Zvarevashe, Tatenda Trust Gotora
Similar Articles with Keyword 'Decision Making'
The Survey Paper on Importance of Integration of Knowledge Management and Business Intelligence
Vina Lomte, Saloni Shah
Hiding Sensitive Association Rules Using EMDSRRC
Marate Shashank S., Manjusha Yeola
Effective of Combined Mining Techniques with Kinship Search in Complex Data
Narsheedha Beegum.P.A, Nimal J. Valath
A Secure Approach for Privacy-Preserving in Information Brokering System using Query Forwarding
Madhuri D. Dhayarkar, Ram B. Joshi
Survey on Temporal Patterns in Physiological Sensor Data