Banking Data Quality Real-time Data 
Astera
DECEMBER 18, 2023
From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”
Astera
FEBRUARY 9, 2024
End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data is stored in different locations, such as local files, cloud storage, databases, etc.
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Astera
DECEMBER 18, 2023
From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”
Astera
FEBRUARY 9, 2024
The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc.
The BAWorld
SEPTEMBER 18, 2024
Data integration enables the connection of all your data sources, which helps empower more informed business decisions—an important factor in today’s competitive environment. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.
Astera
NOVEMBER 1, 2023
Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Data-driven Finance with Astera Download Now Who Can Benefit from a Finance Data Warehouse?
Astera
FEBRUARY 2, 2024
Bank Loan Applications: Banks and financial institutions receive loan applications with standardized forms. Handwriting styles differ widely, and some can be difficult to decipher, leading to errors in data extraction. Ensuring data accuracy and completeness becomes a challenge when dealing with inconsistent data quality.
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