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Development of a Customizable Web Data Aggregation Engine for Market Trend Analysis
  1. case
  2. Development of a Customizable Web Data Aggregation Engine for Market Trend Analysis

Development of a Customizable Web Data Aggregation Engine for Market Trend Analysis

knubisoft.com
Financial services
eCommerce
Business services

Identifying the Need for Efficient Market Data Collection and Analysis

The client faces challenges in obtaining timely, relevant, and comprehensive data on product offerings, pricing, and market movements across multiple sources. Existing manual methods are inefficient, limit coverage, and hinder analytics capabilities, impacting decision making and strategic planning.

About the Client

A large venture capital or investment firm requiring continuous market data collection and analysis to monitor product trends and market fluctuations.

Establishing Robust Data Collection and Analytical Capabilities

  • Develop an automated system to scrape, parse, and aggregate data from numerous unstructured online sources on a scheduled basis.
  • Enable continuous monitoring of product availability, pricing changes, and market trends across multiple websites and sources.
  • Create a flexible, scalable architecture that can incorporate additional data sources or algorithms in the future.
  • Provide actionable analytics and statistics to support strategic investment decisions.

Core Functionalities for Automated Market Data Aggregation System

  • Automated periodic data collection (web scraping) from multiple predefined sources.
  • Development of parsers with robust exception handling to manage errors and maintain data integrity.
  • A data aggregator to organize, index, and store large volumes of secure data via an API accessible to users with varying technical expertise.
  • Support for adding new data sources with minimal configuration changes.
  • Visualization tools or APIs to present trends and statistics derived from the aggregated data.

Preferred Technologies and Architectural Approach

Python for data scraping and processing
REST API for data access
Tornado or similar asynchronous web framework for backend services
MySQL or equivalent database for structured data storage
Cloud platform for deployment, e.g., App Engine or comparable service
Deep Crawl or similar tools for complex web scraping scenarios

External Systems and Data Source Integrations

  • Web sources and APIs from various online marketplaces or product sites
  • Monitoring and logging services for error tracking and system health
  • Security mechanisms for handling sensitive data transactions

Non-Functional System Requirements

  • Scalability to support data collection from over 2000 products across more than 20 websites
  • High availability and minimal downtime for continuous data monitoring
  • Secure data handling and compliance with data protection standards
  • Performance optimization to ensure timely data processing and retrieval

Projected Business Benefits and Analytical Improvements

The implementation of this system will enable the client to continuously accumulate comprehensive market data, facilitating trend analysis and market monitoring that supports informed investment decisions. It is expected to cover over 2000 products across more than 20 websites, providing valuable insights for strategic planning and competitive intelligence, ultimately leading to more precise market positioning and increased investment returns.

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