De Robertis, Daniele (A.A. 2024/2025) Native data quality for IFRS 17 reporting: from parallel validation to preventive structural control in SAP-based architectures. Tesi di Laurea in Data visualization, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 61. [Master's Degree Thesis]

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Abstract/Index

The IFRS 4 regulatory framework. Measurement models, financial statement structure and disclosure under IFRS. From regulatory need to operational challenge: systems, data and native data quality. The native data quality project. Rationale and objectives of the native data quality project. Project structure and system landscape: PaPM, FPSL and phased implementation. Phase 1 implementation: approach, activities and achieved results. Phase 2 of the NDQ project: preventive controls at data ingestion level. Structural risk at ingestion level and conceptual foundations of phase 2. Design and implementation of ABAP-based structural validation controls.

References

Bibliografia: pp. 53-55.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Data visualization
Thesis Supervisor:	Sinaimeri, Blerina
Thesis Co-Supervisor:	Morandini, Lorenza
Academic Year:	2024/2025
Session:	Extraordinary
Deposited by:	Alessandro Perfetti
Date Deposited:	15 Jul 2026 10:37
Last Modified:	15 Jul 2026 10:37
URI:	https://tesi.luiss.it/id/eprint/46402

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