-- EXECUTIVE SUMMARY -- ● Nuga Bank is a leading financial institution, needing data exploration and cleaning processes to streamline data preparation, enabling better insights and decision-making.
-- BUSINESS PROBLEM STATEMENT -- ● Nuga Bank faces challenges in effectively exploring and cleaning vast volumes of financial data, hindering its ability to derive actionable insights.
-- THE KEY ISSUES ARE -- ● Inefficient manual data exploration and cleaning processes. ● Lack of scalability to handle growing data volumes. ● Inconsistent data quality leading to inaccurate reporting and analysis. ● Complexity in transforming raw data into a structured and normalized database format.
-- OBJECTIVES -- ○ Implement an automated data exploration and cleaning solution ○ Normalize the dataset into a suitable database ○ Load the cleaned and normalized dataset into a database for futther analysis