Data Minimisation Fuels CDP Evolution

The trend of data minimisation is driving the evolution of Customer Data Platforms (CDPs). This shift is happening now due to increasing regulatory pressures, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), which are forcing companies to rethink their data collection and storage practices. As a result, companies are looking for ways to balance personalisation with data privacy, and CDPs are stepping up to meet this challenge.

One key difference between this trend and past cycles is the emphasis on data quality over data quantity. In the past, companies focused on collecting as much data as possible, but now they’re realising that more data doesn’t necessarily mean better insights. Instead, they’re prioritising data that’s accurate, relevant, and compliant with regulations. This shift is driven in part by the rise of data clean rooms, which allow companies to collaborate with partners and vendors while maintaining control over their data.

Early adopters of data minimisation, such as Salesforce and Adobe, are already seeing the benefits of this approach. They’re using CDPs to consolidate customer data, eliminate duplicates, and ensure that data is up-to-date and compliant. On the other hand, laggards are still struggling to get their data houses in order, and are facing challenges in implementing effective data governance and compliance practices.

To adopt data minimisation and evolve their CDP strategy, companies can follow a three-step framework. First, they need to assess their current data collection and storage practices, and identify areas where they can reduce data redundancy and improve data quality. Second, they should implement data governance and compliance practices, such as data encryption and access controls, to ensure that data is handled and stored securely. Third, they should invest in CDPs that can help them consolidate and manage customer data, and provide real-time insights and analytics.

It’s worth noting that data minimisation isn’t a one-size-fits-all solution, and there are cases where it may not be the best approach. For example, companies that rely heavily on third-party data may find that data minimisation limits their ability to target and personalize marketing campaigns. In these cases, it may be better to focus on data quality and compliance rather than minimisation.

For more martech analysis, tools coverage and strategy guides, visit MartechXpert — your independent source for marketing technology insight. Vendors such as SAP, Oracle, and Microsoft are also playing a crucial role in this trend, as they develop CDPs that can help companies manage and analyse customer data effectively. As the trend of data minimisation continues to evolve, it’s likely that we’ll see more companies adopting CDPs and prioritising data quality and compliance.

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