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Table of Contents

  • Introduction​

    • Overview of the platform
    • Objectives and Goals
    • Key Features
    • Target Users
    • Technology Stack

  • Architecture Overview

    • High-level architecture diagram
    • Description of each component and its role in the system
    • Interaction between different microservices
    • Integration points with external systems

  • Data Aggregation and Integration System

    • Public Data Scrapers

      • Sources and respective scripts and spiders in use
      • For each source
        • Supported Inputs and Output schema
        • SOP followed to fetch data

    • Data Warehouse and ETL Pipeline

      • Sources and respective models depicting the warehouse schema
      • For each source
        • Approach used to build full database offline
        • Ensuring full coverage
        • Periodic Incremental Update capability
        • Ondemand record syncing capability

    • Data Services

      • Overview of Data Services
      • Internal Data Services for the Data Warehouses
      • Data Services for Live Data Scraping
      • 3rd Party Data Services
      • Other Data Services

  • Report & Analysis Execution System

    • Analysis Services & respective Data Attributes being generated

      • Overview of Analysis Services
      • Target Overview Analysis
      • Financial Analysis
      • Media Analysis
      • Filing Analysis
      • Regulator Checks Analysis
      • Risk Scorecard Metrics
      • Continuous Monitoring Signals

    • Report Preparation

      • Overview of Different Report Types
      • Report Configuration and Analyst Inputs
      • Report Execution (Analyst Flow)
      • Report Preparation Workflows
      • Analyst Interface

    • Other Capabilities

      • data extraction from mca filings or from any other pdf form
      • data extraction from xbrls

  • Client App

    • Client Django App and Rest APIs

      • Login, Registration
      • User Management & Invitaion
      • Report Request
        • Requesting Reports (User Flow)
        • Accessing and Exploring Reports
      • TPRM
        • Third party list management
        • Risk Console - bird eye view of risk scores across all third parties and all risk dimensions
        • Third Party Due Diligence and Risk Assessment History
      • Continuous Monitoring
      • Service Requests, Billing & Payments

    • Micro Apps & Data APIs

      • Compliance Toolkit Overview
      • Available Micro Apps and their Usage
      • Available APIs and their Usage

Central Service Gateway and Databridge​

  • Platform Development

    • Backend Development
      • Overview of Python Backend
      • Microservices with Nameko Framework (Extended)
      • Django Rest Framework Usage
      • PostgreSQL Database Management
      • Unit Testing with Pytest
    • Frontend Development
      • Overview of React JS Architecture
      • Component Library
      • Storybook Testing

  • Additional Areas

    • Deployment and DevOps

      • Containerization with Docker
      • Deployment on AWS (EC2, RDS, etc.)
      • CI/CD with GitLab
      • Supervisord and Poetry Usage

    • Machine Learning Models

      • PyTorch for ML Models Training
      • Models Overview
      • Model Training and Testing Process

    • Data Security and Privacy

      • Overview
      • Data Storage and Management
      • Data Protection Measures
      • Data Compliance and Regulation

  • Troubleshooting and FAQs

    • Common Errors
    • Troubleshooting Steps
    • Frequently Asked Questions

  • Appendices

    • Glossary of Terms
    • API Reference Documentation
    • Software Licenses and Attributions