Data & Platform Engineering
Data Sharing
Unlock the full potential of your data with Infostrux’s Data Sharing solutions. By leveraging Snowflake’s advanced technologies, we help organizations securely share, collaborate, and extract actionable insights from data—without compromising privacy or compliance.


Clean Rooms for Secure Collaboration.
Infostrux’s Clean Room offering allows organizations to collaborate on sensitive datasets in a secure, controlled environment. Using Snowflake’s Data Clean Rooms, you can:
- Protect sensitive data: Keep personally identifiable information (PII) private while enabling joint analytics.
- Collaborate safely: Share insights with partners without exposing raw data.
- Drive business impact: Unlock actionable intelligence from combined datasets while maintaining compliance with regulations like GDPR and CCPA.
With Infostrux’s expertise, we help you design, implement, and optimize your Clean Room strategy, ensuring your teams can collaborate efficiently while staying secure.
Data Overlap Analysis for Deeper Insights.
Infostrux also provides Data Overlap Analysis, a solution designed to identify and analyze shared data points across organizations. Powered by Snowflake’s robust platform, this solution enables you to:
- Measure shared data: Quantify overlapping datasets between partners to understand coverage and gaps.
- Gain actionable insights: Identify new opportunities, optimize campaigns, and enhance decision-making with combined data intelligence.
- Simplify execution: Our consulting team handles the technical setup, so your business teams can focus on strategy and outcomes.
By combining Clean Rooms with Data Overlap Analysis, Infostrux enables organizations to share data securely, measure collaboration effectiveness, and maximize the value of every dataset.

Key outcomes

Perform overlap analysis and selectively share insights about your common customers

Share aggregated statistics based on audience segments without identifying individual customers, thus protecting their privacy
Use Cases
The Data Clean Room is a versatile concept enabling data sharing use cases of data protected under GDPR, HIPAA, CCPA and others.
Common use cases include:

Augmented ad targeting

Extended Customer 360 view


Joint reward programs
Enhanced site selection analysis
Activities
- Definition of data boundaries, from shareability to k-anonymity
- Collaborative design of solution architecture with client
- Implementation of Data Clean Room through automated deployment scripts
- Customization of Data Clean Room for customer’s business logic, data boundaries
- Knowledge transfer activities with client’s team
- Creation of Partner Onboarding Guide
- Modelling and cleaning of data upstream of the Data Clean Room*
- Support for multi-partner deployment*
- Enhanced data matching of datasets using fuzzy algorithms and automated cleaning procedures*
*Optional activities