The Ad sector’s next frontier: Data clean rooms
Data plays a crucial role in the Ad Sector, driving both business growth and success (often the same thing).
However, managing and utilizing all that data presents a range of challenges, from ensuring data accuracy and compliance to protecting consumer privacy.
In the past, traditional methods such as spreadsheets and manual entry have been used to manage data, but these often led to errors and inconsistencies and just aren’t able to keep up with the growing volume and complexity of data available in the modern world (Big Data as it’s sometimes known).
Without citing specific examples, the Ad Sector especially is facing increasing pressure to improve data management practices to ensure that data is being used ethically and responsibly.
That’s led to a growing demand for more advanced and efficient data management solutions capable of helping organizations navigate the challenges of data governance and compliance whilst also unlocking the full potential of data to drive business growth.
One of the solutions currently gaining prominence is that of Data Clean Rooms; specialized and secure environments for data management and analysis that are designed to protect data privacy for the public, whilst also ensuring data accuracy and quality for advertisers.
What is a data clean room?
Data clean rooms are a secure and controlled digital environment that are used for the management and analysis of sensitive data. They’re designed to protect and anonymize data from unauthorized access and to ensure that it remains accurate, reliable and usable by authorized users.
Data Clean rooms are typically used in industries such as healthcare, finance and advertising where data privacy and security are of paramount importance.
They’re of particular importance now as it’s never been so vital to preserve privacy not just for the sake of laws (GDPR, CCPA, etc.), but because it’s the right way to handle other people’s information.
They work by stripping all personal identifying information, in one ‘clean room’, shared by multiple organizations, so that everyone can still leverage data (after it’s anonymized), whilst still adhering to a customer first approach.
Why the Ad sector needs data clean rooms
The ad sector generates and uses an insanely large amount of data in targeting and delivering ads to the right audience at the right time.
That data will often include sensitive information about end users, such as browsing history, demographics and even location data!
As a result, the ad sector is faced with a number of unique challenges when it comes to data management, including ensuring compliance with data privacy regulations, protecting consumer privacy, and maintaining data accuracy and quality.
All that means data storage has never played a bigger role in the smooth running of the ad sector as it is today.
Effective data storage empowers efficient and (mostly importantly) accurate retrieval of data, which is essential for the success of ad campaigns.
However, the ad sector also has to ensure that data is stored securely and in compliance with data privacy regulations, both for legal reasons and ones of reputational management.
Data clean rooms have been specifically designed to address many of those issues, providing a secure and controlled environment for data storage and management, with anonymized data accessible by all authorized users.
Benefits of data clean rooms in the Ad sector
Data clean rooms provide a secure and controlled environment for data management, allowing organizations to better comply with data privacy regulations such as GDPR and CCPA.
That’s achieved through the use of strict access controls and data anonymization techniques, helping organizations protect sensitive data and ensuring that data is used ethically and responsibly.
They also provide incredibly advanced security measures such as encryption and access controls to protect data from unauthorized access and breaches, ensuring that sensitive data is stored and used securely.
As well as enhanced security, data clean rooms are great at ensuring the quality of data (something that’s always vital to advertisers targeted on PPC, relying on accurate targeting), by using techniques such as data masking and de-duplication to ensure the data is accurate and reliable.
Best practices for building a data clean room
Most advertisers won’t need to build their own clean room, instead feeding data into a centrally shared repository, but for anyone that is building their own, best practices include:
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First, identify the types of data that will be stored in the clean room and the specific data management and analysis tasks that will need to be performed
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Define the security and compliance requirements for the clean room
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Select the appropriate technology and tools that will be needed for the clean room, such as data anonymization and masking software, access controls, and data storage solutions
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Establish procedures for data management and analysis, including data processing, data quality checks and data access controls
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Test and validate the clean room to ensure it meets all requirements and is functioning as expected
Once a data clean room is actually built, it’s important to follow best practices for data storage and management to ensure that the clean room is being used effectively and efficiently. These best practices can include:
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Keeping data updated and accurate
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Regularly monitoring data access and usage
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Using advanced security and encryption methods to protect data
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Regularly reviewing data management and analysis procedures to identify and address any issues or opportunities for improvement
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Managing data access and permissions to ensure that only authorized personnel have access to sensitive data.
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It’s also important to keep abreast of regulatory and industry developments and ensure that the data clean room remains in compliance with the latest data privacy regulations.
If all that sounds like a lot of work we’d be happy to have a conversation with you about our managed data service, shouldering the day to day tasks to let you focus on business critical goals.
In summary, it’s likely data clean rooms will become an increasingly popular ad sector.
As the volume and complexity of data continues to grow, and with the increasing pressure on organizations to comply with data privacy regulations, the need for robust and secure data management solutions will only become more critical.
Data clean rooms have the potential to revolutionize the way the ad sector manages and utilizes data helping navigate the challenges of compliance, while also unlocking the full potential of data to drive business growth.