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Development of a Custom Data Extraction and Report Automation System for Financial Operations
  1. case
  2. Development of a Custom Data Extraction and Report Automation System for Financial Operations

Development of a Custom Data Extraction and Report Automation System for Financial Operations

inoxoft.com
Financial services

Challenges in Aggregating and Reporting Financial Data from Complex Accounting Systems

The organization relies on a complex, configurable accounting system used for managing financial and operational data. However, extracting aggregated reports for specific departments requires third-party software integration, leading to data silos and manual overhead. The current process limits timely access to department-specific insights and hampers operational efficiency.

About the Client

A mid-sized financial institution seeking to optimize its financial reporting and operational insights by integrating core accounting systems with custom analytics tools.

Objectives for Implementing Automated Data Extraction and Reporting Solution

  • Develop a system capable of extracting and aggregating data from the existing accounting platform.
  • Implement role-based report generation tailored to departmental needs.
  • Reduce manual intervention and reporting turnaround time.
  • Enhance accuracy and consistency of financial and operational reports.
  • Enable scalable integration with existing financial infrastructure.

Core Functional Requirements for Data Extraction and Reporting System

  • Data extraction module that interfaces with the complex accounting system, capable of handling its configurability and data structures.
  • Role-based reporting engine to create department-specific summaries based on user roles and permissions.
  • Customizable report templates to accommodate diverse reporting needs.
  • Automated scheduling and report generation to ensure timely delivery.
  • User access controls to enforce role-based data visibility.

Preferred Technologies and Architectural Approaches

Modern data integration platforms
Secure API-based data exchange
Modular microservices architecture
Role-based access control frameworks

Necessary External System Integrations

  • Accounting system interface for data extraction
  • Authentication and authorization services for role management
  • Reporting and visualization tools for report presentation

Key Non-Functional System Requirements

  • Scalability to handle increasing data volume and user load
  • High performance to enable near real-time report generation
  • Robust security measures to protect sensitive financial data
  • Compliance with industry standards and data privacy regulations

Projected Business Benefits of Automated Data Reporting System

The implementation aims to streamline financial data extraction and reporting processes, reducing manual reporting time by up to 50%, improving data accuracy, and enabling faster decision-making. The scalable system will support organizational growth and improve operational efficiency across departments.

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