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Development of a Dynamic Stock Market Analysis and Supply Chain Visualization Platform
  1. case
  2. Development of a Dynamic Stock Market Analysis and Supply Chain Visualization Platform

Development of a Dynamic Stock Market Analysis and Supply Chain Visualization Platform

spyro-soft.com
Financial services
Supply Chain

Current Challenges in Data Analysis and Supply Chain Management

The client requires a comprehensive system to analyse and dynamically present stock market and supply chain data in multiple formats. They face difficulties in real-time visualization of product parameters and stock market prices, which impairs timely decision-making. Additionally, managing organizational structures, access controls, and content across procurement, warehousing, and logistics processes remains complex and inefficient.

About the Client

A global financial services firm specializing in supply chain solutions and market analysis, managing complex procurement, inventory, and logistics operations with a focus on real-time data insights.

Goals for Developing an Integrated Data Analysis and Visualization Platform

  • Create an interactive platform capable of real-time visualization of market and inventory data.
  • Enable multi-format data presentation highlighting key parameters alongside stock market and supply chain metrics.
  • Integrate seamlessly with third-party data providers to deliver comprehensive, accurate data views.
  • Enhance decision-making processes through advanced reporting and data analytics tools.
  • Streamline procurement, warehousing, and logistics management workflows.
  • Implement robust access control, permissions management, and content governance for organizational security.
  • Redesign web and mobile interfaces to improve user experience and functionality.

Core Functional System Specifications

  • Real-time stock market and inventory data visualizations.
  • Dynamic dashboards highlighting key supply parameters and market prices.
  • Multi-format data exports (charts, reports, dashboards).
  • Automated data refreshes synchronized with third-party data sources.
  • Advanced filtering, segmentation, and drill-down capabilities.
  • Content management system for updating analytics content and reports.
  • User permissions and role-based access control.
  • Mobile-responsive design and dedicated mobile app interfaces.
  • Customization options for specific organizational workflows and KPIs.

Recommended Technologies and Architectural Approaches

React for web frontend
React Native for mobile application
TypeScript and JavaScript for development
Cypress for testing automation

External Systems and Data Source Integrations

  • Third-party market data providers for real-time stock prices
  • Supply chain and logistics management systems
  • Content management and reporting tools such as PowerBI or equivalent

Critical Non-Functional System Attributes

  • High scalability to accommodate growing data volumes and user base.
  • Low latency data updates for real-time visualization.
  • Robust security measures including role-based access controls.
  • System availability with 99.9% uptime.
  • Cross-platform compatibility for web and mobile applications.
  • Automated testing and health monitoring to ensure stability.

Projected Business Impact and Benefits

The deployment of this integrated data analysis platform is expected to significantly improve decision-making accuracy and timeliness, leading to higher operational efficiency. It will enable real-time insights for stock market and supply chain parameters, facilitating strategic planning and risk management. The system aims to streamline workflows, reduce manual effort, and enhance organizational security governance, ultimately contributing to better market competitiveness and operational agility.

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