Data Marketplaces: From Internal Discovery to Monetization

Data marketplaces are platforms where data producers publish datasets and consumers discover, access, and use them. They exist in two forms: internal (enabling cross-team data sharing) and external (monetizing data with third parties). Both require governance, discoverability, and trust.

Internal vs External Marketplace

Platform Comparison

Data Monetization Models

Data Monetization
├── Direct Monetization
│   ├── Raw Data Sales
│   │   └── Sell cleaned, structured datasets
│   ├── Data as a Service (DaaS)
│   │   └── API access with SLAs, subscription pricing
│   ├── Insight as a Service
│   │   └── Pre-built analytics, dashboards, reports
│   └── Data-Enhanced Products
│       └── Embed data/analytics into existing products
├── Indirect Monetization
│   ├── Improved Decision Making
│   │   └── Better internal analytics = better outcomes
│   ├── Operational Efficiency
│   │   └── Shared datasets reduce duplicate collection
│   └── Partnership Value
│       └── Data sharing strengthens ecosystem position
└── Privacy-Preserving Monetization
    ├── Aggregated Insights
    │   └── Statistical summaries, no individual records
    ├── Synthetic Data
    │   └── AI-generated data with same statistical properties
    └── Clean Rooms
        └── Joint analysis without sharing raw data

Privacy-Preserving Data Sharing Techniques

Marketplace Maturity Stages

Resources

• Snowflake Marketplace
• AWS Data Exchange
• Delta Sharing — Open Protocol
• Dawex — Data Exchange Platform

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