| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 12.23 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
My thesis was done at InnoWave which is a consulting company based in Lisbon but with businesses all over the world, due to this fact it becomes complex the task of making the human resources management in the various projects, which is currently done through various tools in the company that do not exchange information automatically. This is the central problem addressed in this thesis, decentralization of information, and which I intend to solve by developing a system that helps managers in their daily work. Due to the fact that for managers to manage all their employees it is necessary for them to access 3 different platforms and cross-reference the data from the various platforms with manual tasks, often with the help of Microsoft’s Excel tool. This is not at all the most efficient way of working and it was due to this fact that I decided to propose this subject and help the company in its tasks. The objective of this work is to build a system that can centralize all the necessary information in a single place in an automatic way, thus optimizing the tasks that are currently done by managers and bringing added value with the information acquired. The solution that I planned, designed and implemented was mostly built using 3 softwares from Power Platform: Power BI, Power Apps and Power Automate. In Power BI it was possible to create dashboards that group the information in a useful way for managers. In Power Apps we created an application that complements the dashboards where managers can edit information about their employees. In Power Automate were created automatic flows of sending emails not only for employees but also for the managers themselves and for the Office department of the company.
Description
Trabalho de Projeto de Mestrado, Engenharia Informática, 2021, Universidade de Lisboa, Faculdade de Ciências
Keywords
Gestão de recursos humanos Descentralização de informação Tarefas manuais Automatização e optimização de tarefas Power Platform Teses de mestrado - 2021