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Development of a Multifaceted Data Marketplace Platform for Enhanced Market Research Accessibility

apptension.com

Information technology

Business services

Financial services

Challenges in Market Research Data Accessibility

Startups face significant challenges in conducting effective market research due to fragmented data sources and lack of centralized access to reliable studies. Existing solutions require manual installation processes and lack integration capabilities, leading to inefficiencies for both end-users and data providers.

About the Client

Innovative data company specializing in market research software for data analysis, crosstabulations, and graphical visualization

Objectives for Data Marketplace Development

Create a self-service data marketplace platform connecting Data Providers with mTab Analyze users
Centralize access to diverse market research studies across industries
Implement seamless integration with existing mTab systems via API
Enable automated data purchasing and subscription management
Enhance user experience through personalized content recommendations

Core Marketplace Functionalities

One-time purchase and subscription options for data access
Interactive data demo versions with modified search results
AI-driven content recommendation engine based on purchase history
Role-based user hierarchy (buyers, orderers, Data Providers)
Integrated search engine tracking popular search phrases
Seamless integration with mTab Analyze and mTab Discover systems

Technology Stack Requirements

React

Python

Django

AWS

AWS Lambda

System Integration Needs

mTab Analyze API
mTab Discover API
Payment processing systems
User authentication services

Performance and Scalability Expectations

High-volume data processing scalability
Enterprise-grade security measures
99.9% system uptime SLA
Cross-browser compatibility
Real-time search performance

Expected Impact of the Data Marketplace Implementation

The marketplace will eliminate manual data installation processes, saving 15+ hours monthly per client. Automated content delivery will reduce administrative overhead by 40% while enabling 24/7 access to market research data. The integrated recommendation engine is projected to increase user engagement by 30% and drive 25% growth in data provider participation through streamlined access management.