HIGHLIGHTS
- What: The aim of this research is to discover the ways in which the banking sector can use data quality analytics to improve the processing of applications for loans and gain better insights into their performance. The study shows how sophisticated analysis can be in the actual operations of a banking institution. Missteps or inaccuracies can lead to detrimental outcomes, underscoring the necessity for financial institutions to prioritize data quality analytics projects focused on data cleansing, standardization, and the maintenance of dataset integrity . The research presented in Article introduces the I-BiDaaS platform, which provides an innovative . . .
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