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Enterprise Document Digitization and Workflow Automation Platform for Government Infrastructure Management
  1. case
  2. Enterprise Document Digitization and Workflow Automation Platform for Government Infrastructure Management

Enterprise Document Digitization and Workflow Automation Platform for Government Infrastructure Management

tridhyatech.com
Government
Infrastructure
Public Sector

Challenges in Managing and Accessing Infrastructure Project Data

The organization faces difficulties with inconsistent, incomplete, and error-prone raw data and metadata collected from infrastructure projects. These issues hinder the creation of accurate project folders and impede efficient data access. Additionally, scalability to handle large volumes of data and seamless integration with existing legacy systems pose significant challenges. Customization of project folders to meet diverse departmental needs requires extensive resources and technical expertise, further complicating effective document management.

About the Client

A large government agency responsible for managing infrastructure projects, including document management, workflow, and digitization processes to improve operational efficiency.

Goals for Developing a Scalable Digital Content Management System

  • Implement a centralized digital platform that streamlines project document management and storage.
  • Reduce manual data entry and improve data quality and consistency across project records.
  • Enable automated classification and organization of documents via customizable metadata fields.
  • Facilitate scalable handling of large data volumes, with support for future growth.
  • Integrate with existing scanning and indexing tools to automate metadata extraction from scanned paper documents.
  • Provide advanced search capabilities based on document metadata for quick access.
  • Implement role-based access control for secure project folder management.
  • Generate detailed reports on document scans, project activity, and data analysis to support decision-making.

Core Functional Capabilities for Digital Infrastructure Document Platform

  • Web interface with dynamic forms to create new projects with predefined metadata fields.
  • Automated generation of project-specific folders and subfolders based on input data.
  • Configurable content models supporting classification of documents by type and inheriting metadata where applicable.
  • Business rules engine for organizing documents within project folders based on metadata attributes.
  • Integration with OCR and barcode recognition tools to extract metadata from scanned documents.
  • Master list management for metadata values, supporting inheritance and reuse across projects.
  • Custom search functionality filtering documents by metadata criteria.
  • Role-based permissions to control creation, access, and modification of project documents.
  • Reporting tools displaying scan activity, document size, and date filters.

Technological Foundations for Scalable Document Management

Web-based platform
Custom content models with flexible metadata schema
OCR and barcode recognition for metadata extraction
Secure role-based access control
Automated folder and document generation scripts

Essential System Integrations for Seamless Workflow Automation

  • Scanning and OCR tools for metadata extraction from paper documents
  • Existing document management or enterprise content management systems
  • Reporting and analytics modules for operational insights

Critical Non-Functional System Attributes

  • Scalability to support large data volumes with future growth capacity
  • High availability and reliability to ensure minimal downtime
  • Data security and compliance with relevant standards
  • Performance metrics supporting rapid document search and retrieval
  • User-friendly interface for diverse departmental users

Projected Benefits of the Digital Infrastructure Management System

The new platform aims to significantly enhance the efficiency and accuracy of infrastructure project data management, reducing manual data entry efforts and errors. It is expected to improve document retrieval times and access security, support large-scale data processing, and enable real-time reporting for better project oversight. Overall, these improvements can lead to a reduction in operational costs, increased data integrity, and accelerated decision-making processes across departments.

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