This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of AI-Enhanced B2B Data Analytics Platform for Financial Institutions

dataforest.ai

Financial services

Challenges in Financial Data Analysis and Competitiveness

The client requires an interactive B2B web application with advanced analytics capabilities to process real-time financial data from multiple sources. Existing challenges include inefficient data interrogation processes, lack of predictive insights, and the need to maintain competitive advantage through AI-driven automation and 30+ system integrations.

About the Client

Financial services and consulting company with operations in South Africa, the UK, and the USA

Strategic Objectives for Analytics Platform Development

Enhance data accuracy and reporting capabilities with real-time updates
Implement AI-driven predictive analytics to outpace competitors
Integrate 30+ financial data sources for comprehensive analysis
Achieve 88% forecasting accuracy and reduce stockouts by 0.9%
Improve customer experience by 19% through enhanced data visualization

Core System Functionalities

Customizable dashboards with drag-and-drop visualization tools
Real-time financial data querying from open-source websites and institutions
AI-driven predictive modeling and trend analysis
Automated report generation (PDF/Excel) with graphical representations
Time-series data comparison and rebasing capabilities
Secure user authentication with role-based access control

Technology Stack Requirements

Pandas for data manipulation

PostgreSQL for database management

Django REST Framework (DRF) for API development

ReactJS for frontend components

AWS for cloud infrastructure

External System Integrations

30+ financial institution APIs
Open-source financial data web scraping interfaces
Real-time market data feeds
Existing client CRM systems
Third-party authentication providers

Performance and Security Requirements

Support 10,000+ concurrent users with <2s response times
SOC 2 Type II compliance for data security
99.9% system availability with failover mechanisms
Horizontal scaling on AWS cloud infrastructure
Data encryption at rest and in transit (TLS 1.3)

Expected Business Impact of Enhanced Analytics Platform

The solution will enable financial institutions to process and analyze data with market-leading accuracy, achieving 88% forecasting precision and 19% CX improvement. Real-time predictive insights will reduce operational costs by 20% while maintaining 98% model accuracy. The platform's scalability will support global expansion with seamless integration of new data sources and compliance with international financial regulations.