Walter De Carne
A Low-Code Approach to Data Privacy Auditing in the Banking Sector.
Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2025
Abstract
This Master’s Thesis presents a comprehensive analysis of the design and development of a low-code application undertaken during my employment at a multinational consulting corporation, within the role of Intelligent Automation Consultant. The objective of the project was to design and develop a cloud-based application for a large Italian banking group using Appian, one of the most widely used low-code platforms, which combines its proprietary programming language with a broad set of tools and technologies, including process automation, data integration, and RPA (Robotic Process Automation). The application was requested by the banking group to support the activities of the organization’s Data Protection Officers (DPOs), who are responsible for conducting audits in the field of data privacy and compliance.
The development process followed the agile methodology, allowing for iterative enhancements and continuous feedback from the client and the internal development team
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