Banking — Performance Monitoring of Generated Deliverables

Overview

The primary purpose of this DAG is to monitor and enhance the performance of deliverables produced within the banking sector, ensuring quality and customer satisfaction. The process begins with ingesting data from various sources, including customer feedback, quality metrics, and compliance audit results. The ingestion pipeline efficiently collects this data, which is then processed through several key steps. First, feedback analysis is conducted to identify areas for improvement, followed by up

The primary purpose of this DAG is to monitor and enhance the performance of deliverables produced within the banking sector, ensuring quality and customer satisfaction. The process begins with ingesting data from various sources, including customer feedback, quality metrics, and compliance audit results. The ingestion pipeline efficiently collects this data, which is then processed through several key steps. First, feedback analysis is conducted to identify areas for improvement, followed by updating the document generation models based on insights gained. Quality control measures are implemented, including customer satisfaction checks and compliance audits, to ensure that the deliverables meet the required standards. The outputs of this DAG include comprehensive performance reports that detail customer satisfaction rates and response times to modification requests. Monitoring key performance indicators (KPIs) such as customer satisfaction rates and compliance audit results allows for ongoing assessment of the process. The business value of this DAG lies in its ability to enhance the quality of deliverables, leading to increased customer trust and loyalty, while also ensuring compliance with industry regulations.

Part of the Document Automation solution for the Banking industry.

Use cases

• Improves customer satisfaction and loyalty through quality deliverables
• Enhances compliance with banking regulations and standards
• Reduces time spent on manual quality checks and audits
• Facilitates data-driven decision-making for document automation
• Increases operational efficiency by streamlining feedback processes