Analysis and identification of a skill-based workforce planning method for Digital Assurance at PwC Switzerland
Loading...
Authors
Author (Corporation)
Publication date
2022
Typ of student thesis
Bachelor
Course of study
Collections
Type
11 - Student thesis
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Hochschule für Wirtschaft FHNW
Place of publication / Event location
Basel
Edition
Version
Programming language
Assignee
Practice partner / Client
PwC Schweiz, Zürich
Abstract
In essence, the objective of this bachelor thesis was to identify and create a model for skill-based workforce planning for the operational unit Digital Assurance, which is part of PwC. The problem was broken down into two main milestones: 1) Analyse the current workforce in terms of available skills and competencies within the DA practice and visualize the skill supply 2) Identify how the skill aspect within DA can be added to a demand and supply perspective. The results will be used to generate a model or an approach that can help to connect skills and demand.
Keywords
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Open access category
License
Citation
Raemy, M. (2022). Analysis and identification of a skill-based workforce planning method for Digital Assurance at PwC Switzerland [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/41505