id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-3515	Karamani, Brunela ; Shehu, Bojken 	Leveraging data quality analytics for enhanced loan application and performance insights: A comprehensive approach	2024	7	.pdf	application/pdf	2956	148	34	c) Data Integration and Feature Engineering: Customer data and loan application data are combined by joining them by SQL join method or merge operations, subsequently followed by performance of customer loan data. We have taken into consideration the customer data 100K, the loan application data 150K, and the loan performance aggregated files 300K. To undertake data analytics, we employ SQL, Python, and Power BI, following these steps: a) Data Import and Preparation: We get customer data, loan application data, and loan performance data from the database to our SQL database.	cache/easat-3515.pdf	txt/easat-3515.txt