Privacy-preserving collaboration

Joint data analysis. Without personal data.

Harvey's Data Clean Room enables secure, joint analysis of sensitive data from multiple sources. Identifiers are anonymized at the data owner, and only protected records ever reach the platform. With a project-based approach, multiple data collaborations can run simultaneously.

Get in touch Options
Banking
Healthcare
Energy
Telecom
DCR
Research
Insurance
Public sector
Retail
The challenge

Secure, joint analysis of sensitive data from multiple sources

The best business decisions often require more than one organization's data. Joint analysis with partners and industry players can significantly increase business value. Until now, however, this required participants to share sensitive data, creating privacy, legal, and trust risks.

The Data Clean Room resolves this dilemma. Cryptographic methods guarantee that personal identifiers remain with the data owner organization: neither the operator nor other participants can access raw data. Three deployment options let us adapt to your regulatory environment.

N+1
Matching data from multiple sources on a single platform
Personal identifiers stay with the data owner throughout
GDPR
Built-in compliance, as anonymized data is no longer personal data
Project-based: multiple data collaborations running simultaneously
How it works

Data stays with each organization, results become shared

The DCR's key capability is matching and jointly analyzing anonymous data from multiple sources, while original identifiers remain with the data owners at all times.

01

Data preparation at the data owner

Anonymization of identifiers and encryption of attributes takes place in the data owners' own environment. Thanks to the cryptographic methods used, identifying data cannot be reversed.

02

Loading into the DCR

The platform receives protected data needed for joint processing. Data owners define which attributes to share and at what protection level.

03

Matching and analysis

Anonymous data from multiple sources can be matched, enabling joint analysis.

04

Business outcome

Joint data analysis provides more accurate and well-founded information, supporting better decisions.

Deployment options

Three approaches, same guarantee

All three options guarantee that identifiers stay in the source system. They differ in analytics capability and deployment model.

Option 1

Secure data collection

The DCR is used for collecting and matching anonymized data. The data analyst extracts the matched, anonymized dataset and performs the analysis in their own system.

  • A good choice when the DCR's main role is secure data collection
  • No need to replace existing analytics software
  • The platform operator does not handle open data
External analytics Cloud / On-prem
Option 2

On-premise platform with analytics

The platform is deployed on the analyst's own infrastructure. Anonymization and encrypted transfer are identical to Option 1, but the system also includes an analytics layer, so there is no need to export the anonymized and matched data to a separate analytics system.

  • Full data sovereignty on your own infrastructure
  • Strong control and isolation
  • Also relevant for highly regulated industries
Analytics On-prem only
Option 3

Cloud-based platform with analytics

Enables matching and analysis of anonymized data in the cloud. Analytical computations are performed on encrypted attributes.

  • Built-in privacy-preserving analytics
  • No need to set up your own infrastructure
  • Also available on EU-sovereign cloud platforms
Analytics Cloud
Use cases

Delivers value where trust meets regulation

The stricter the regulation and the more sensitive the data, the greater the competitive advantage that secure collaboration creates.

Banking and finance

Inter-institutional fraud detection, joint anti-money laundering monitoring, and credit risk models without exposing customer data.

Healthcare and research

Joint analysis among hospitals, clinics, and universities while preserving patient data protection.

Energy and utilities

Predictive maintenance between operators, shared consumption analytics, and network optimization.

Telecommunications

Customer churn prediction across multiple providers and joint market research while protecting customer data.

Next step

Let's discuss which option fits your organization

From secure collection to encrypted analytics: the deployment model adapts to your regulatory and business environment. Let's explore the possibilities together.

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