People clues: Business intelligence tool for team dynamics
| Autor: | Pathum Senaratna, Lakshan Samarasingha, Gayathma Perera, Rohan Samarasinghe, Nadeesha Perera |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Knowledge management business.industry Process (engineering) Computer science 02 engineering and technology Churning Data modeling Task (project management) 020901 industrial engineering & automation Information and Communications Technology Business intelligence 0202 electrical engineering electronic engineering information engineering Web application 020201 artificial intelligence & image processing business Human resources |
| Zdroj: | 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer). |
| DOI: | 10.1109/icter.2017.8257809 |
| Popis: | Today in most sectors like ICT, Apparel and BPO, as the common practice employees are working as teams in projects. Selecting the right team for the right project in these industries is vital for the projects to make it a success since these industries have a high impact on the economy. In present this is mostly done with the experience of Higher Management. But with the churning of the employees' knowledge transferring process has been really complex since knowledge is not stored anywhere and also training a new candidate takes great amount of time and effort. People Clues is a business intelligence tool which selects the best team for a given project by analyzing their past experience, Educational Qualifications and Past Performances. People Clues has been built on the concept of Team Dynamics. User can provide Project details as the input and by analyzing human resource characteristics system will generate the best team for the relevant project. Mainly three algorithms have been used for the prediction while giving the chance of selecting the preferred algorithm to the user. In this paper we present a desktop and a web application that facilitates the task of automating dynamic team generation depending on the optimality or feasibility based on different knowledge areas such as team dynamics, predictive modeling, business intelligence, data mining and team characteristics. |
| Databáze: | OpenAIRE |
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