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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Morgado, D., Laureano, Raul M. S. & Diniz, M. (2024). Leveraging Customer Audit: A Decision Support Dashboard. CISTI'2024 - 19th Iberian Conference on Information Systems and Technologies.
Exportar Referência (IEEE) 
D. J. Morgado et al.,  "Leveraging Customer Audit: A Decision Support Dashboard", in CISTI'2024 - 19th Iberian Conf. on Information Systems and Technologies, Salamanca, 2024
Exportar BibTeX 
@misc{morgado2024_1772869104774,
	author = "Morgado, D. and Laureano, Raul M. S. and Diniz, M.",
	title = "Leveraging Customer Audit: A Decision Support Dashboard",
	year = "2024",
	howpublished = "Digital",
	url = "https://cisti.eu/2024/index.php/en/"
}
Exportar RIS 
TY  - CPAPER
TI  - Leveraging Customer Audit: A Decision Support Dashboard
T2  - CISTI'2024 - 19th Iberian Conference on Information Systems and Technologies
AU  - Morgado, D.
AU  - Laureano, Raul M. S.
AU  - Diniz, M.
PY  - 2024
CY  - Salamanca
UR  - https://cisti.eu/2024/index.php/en/
AB  - In the contemporary digital landscape, businesses harness formidable technological prowess to engage directly with customers and amass vast troves of consumer data. However, amidst this wealth of information, a critical gap persists in translating data into actionable insights that fuel business success. Traditional metrics fall short in capturing the intricate nuances of customer behavior and preferences, necessitating a shift towards more customer-base audit report systems. Drawing upon essential inquiries delineated in existing literature, this research aims to address pivotal questions integral to constructing an effective customer-base audit report. These inquiries encompass identifying customer segments, discerning differential value among customers, assessing revenue concentration, and forecasting customer retention. Through an exploration of data-driven methodologies and the development of a decision support dashboard, this research endeavors to furnish pragmatic guidance for organizations seeking to fortify their customer-centric reporting capabilities.
ER  -