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Development of a Customizable Data Aggregation Engine for Market Trend Analysis

knubisoft.com

Financial services

Other industries

Inefficient Data Collection for Market Analysis

The client required an automated solution to track frequent product additions, removals, and pricing changes across 20+ websites containing financial products. Manual data collection was time-consuming, error-prone, and unable to support real-time market trend analysis.

About the Client

One of Europe’s largest Venture Capital teams, investing in early-stage companies globally with a focus on scalable financial technology solutions

Strategic Goals for Data Aggregation System

Automate collection of structured data from unstructured web sources
Create centralized database for 2000+ financial products
Enable non-technical users to configure data sources
Support market trend visualization through historical data analysis

Core System Capabilities

Configurable web crawler with deep scraping capabilities
Real-time data parsing with error tracking mechanisms
Secure data storage with indexing for rapid retrieval
RESTful API for third-party analytics integration
User interface for managing data source configurations

Technology Stack Requirements

Python

Tornado

MySQL

Google App Engine

REST API

Deep Crawl

System Integration Needs

External analytics platforms
Cloud storage services
Authentication providers

Operational Requirements

Horizontal scalability for 1000+ concurrent data sources
99.9% system uptime
Data encryption at rest and in transit
Sub-second API response times

Anticipated Business Outcomes

The solution will enable real-time market monitoring across 20+ financial institutions, reduce manual data collection efforts by 80%, and provide predictive analytics capabilities for investment decision-making. The system's scalability will support expansion to 5000+ products within 12 months.