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Enabling Responsible Data Use with a Snowflake Data Clean Room

Enabling Responsible Data Use with a Snowflake Data Clean Room

In a time where data-driven decision-making is the ideal path forward for businesses, the need to find a balance between data collaboration and privacy has become a top priority for businesses.

Enter data clean rooms! These controlled environments allow businesses to make use of and share their data while remaining compliant with privacy regulations. More specifically, businesses can make use of more data than ever before while also keeping ethical data handling and responsible data usage at the forefront of their processes.

Let’s explore what data clean rooms are and how the Snowflake platform is naturally equipped for building out a secure data clean room environment.

What is a data clean room?

Data clean rooms are controlled, secure environments that enable organizations to collaborate on data-driven projects while adhering to strict guidelines and privacy restrictions, such as GDPR and CCPA. Data clean rooms control everything, including (but not limited to) how the data is brought in, joined with additional data in the clean room, who can access the data, and how it can be used.

In a data clean room, all personally identifiable information (PII) is stored, anonymized, and processed in a compliant and secure manner, enabling this data to be used in a wide variety of ways.

With great data comes great responsibility

As technology has become more ingrained in every aspect of our lives, data privacy and security have become huge concerns. Organizations have the ability to collect more customer data than ever before, enabling them to make data-driven decisions off of a holistic view of their customers. However, this increased quantity of data means these organizations have an even greater responsibility than ever before to protect their customers’ data. Data clean rooms strike this delicate balance of protecting and preventing data exposure while allowing for data collaboration for enhanced decision-making.

As mentioned earlier, data clean rooms also enable companies to fulfill their legal obligations to protect user privacy and provide increased transparency into their data usage, per regulations like GDPR and CCPA. By creating a safe and secure environment for data sharing and analysis, data clean rooms enable organizations to comply with these regulations. This not only reduces the risks of data breaches or unauthorized access, but it also improves customer loyalty and trust on the whole.

Empowering collaboration with Snowflake

Snowflake’s architecture is especially well-equipped for building a data clean room. Snowflake has extensive data governance and security capabilities, enabling organizations to handle their data in a way that complies with privacy regulations. Additionally, Snowflake’s Secure Data Sharing feature allows data owners to share data for collaboration both within their organization and outside of their organization while keeping data sets secure and limiting access.

5 advantages of Snowflake data clean rooms

Data clean rooms built in Snowflake also have several key advantages, helping organizations maintain a safe, secure environment without sacrificing access and collaboration in the process.

1. Granular control

Snowflake allows organizations to define who can access what data, ensuring that only authorized users can work within the data clean room.

2. Secure data sharing

With secure data sharing, companies can safely share data with external parties without sharing raw data files. This is particularly beneficial when collaborating with partners, researchers, or other third parties, as sensitive information remains protected.

3. Privacy preservation

Snowflake data clean rooms help organizations uphold their commitment to user privacy. By only exposing aggregated or anonymized data, businesses can surface the insights they need without compromising individual identities.

4. Efficient analysis

Snowflake’s cloud-native architecture enables powerful data analysis and processing within the data clean room, ensuring that insights can be derived without data leaving the secure environment.

5. Compliance readiness

With Snowflake’s governance features, organizations can streamline compliance efforts by maintaining detailed audit logs. This ensures accountability in data handling and usage.

Snowflake data clean rooms work to enable data privacy and collaboration

In a world where data-driven decision-making is the best path forward for businesses, it is critical that responsible and ethical use of data is prioritized. Data clean rooms built in Snowflake are optimized for helping organizations with their ethical data use, allowing them to collaborate and derive insights from disparate data sources while protecting sensitive information.

As the world of data continues to evolve, technologies like data clean rooms will not only help organizations stay compliant with current legal regulations and avoid data silos; they’ll also enable organizations to make use of and share data for larger-scale collaboration.

Want to learn more about data clean rooms? Watch this session on data sharing reinvented, featuring speakers from Snowflake and Roku.