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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

OCR is a well-known technology developed for text recognition in any medium: photographic, handwritten, or digitized. Optical character recognition is able to convert any text present on a medium into computer-readable textual data. Extraction of credit cards data. This article reveals all! How does OCR work?

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

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.

Banking 52
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Fueling Business Growth with Superapp Powered by Google Cloud

GAVS Technology

Powered by tens of thousands of employees, the customer’s businesses have a nationwide reach with well over a thousand branches, lakhs of agents/channel partners, and several bank partners The customer – a leading NBFC, administers a variety of financial services and functions across multiple applications, serving a diverse user base.

Banking 52
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Pioneering AI Frontier: Integrated Knowledge Bases

Analysts Corner

Banking sector : integrating credit information, accounts, and financial transactions. Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Some kind of digital surveillance.

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CDC for ETL Process Optimization in Finance Industry

Astera

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.”

Finance 52
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CDC for ETL Process Optimization in Finance Industry

Astera

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.”

Finance 40
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How to Automate Credit Risk Assessment Framework Using ETL

Astera

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.