What is Data Minimization? 

4 min to read

Data minimization is when you adopt a minimalist approach to data collection. Rather than gathering as much information as possible, you only collect the personal data that you absolutely need to provide services. For example, you might need a user’s card details so you can bill them for a recurring subscription.

When implementing data minimization, you deliberately limit how much information you need for certain business tasks; once you know what you need, you also strive to only collect this. The aim is to reduce the threat of privacy breaches, and you should also consider how it may streamline your regulatory compliance requirements.

You should also think about how data minimization can impact trust; however, you’ll still need to collect certain bits of information. It’s about understanding what’s necessary and what isn’t.

Pro Tip:
While data minimization is a good idea, you should still think about how to reach your business goals.
Key Takeaways:
  • Data minimization is an essential practice with the increasing number of privacy regulations
  • You should look at the data you’ve collected on a frequent basis and also consider what you actually need
  • Use data minimization for streamlined security procedures
Hocoos small logo Answers Legal and Ethical Considerations

How can businesses implement data minimization? 

Before doing anything else, you need to understand your business requirements and objectives. What’s important for you to collect won’t necessarily be the same for a competitor; while you could gain inspiration from others, you need to adapt your own strategy. 

Once you know what you plan to achieve, you should then think about the specific types of data you must collect. For example, you’ll need people’s email addresses if growing your newsletter is one of your primary goals. After identifying the data you need, be very clear about what you collect in your privacy policy. 

Data minimization is an ongoing process, and it’s a good idea to frequently look at what you collect. Policy updates and customer information deletion options are necessary components of your approach. 

If you’re struggling to know where to start with data minimization, you can use several tools online to assist and develop your own initiatives. 

Deep Dive: 
If you already have data collection/retention protocols, assess these and think about where you might need to make adjustments. 

Privacy regulations have evolved significantly over the last 10-20 years, and many jurisdictions now have comprehensive laws that you should comply and cooperate with. For example, if you serve customers in the EU and EEA, you’ll need to think about the General Data Protection Regulation (GDPR). While not part of the EU/EEA, the UK and Switzerland have independent privacy laws that must be met. 

In the US, you’ll need to adhere to the California Consumer Privacy Protection Act (CCPA) under certain conditions. Various states, including Delaware, have established their own privacy legislation that requires familiarization before commencing any business operations within those states. Other countries with data protection laws include Brazil, Canada, and New Zealand. 

Away from the legal requirements to protect consumer information and minimize data, ethical considerations are also important. You want to promote transparency with your customers; doing so is necessary for building trust. 

Your industry reputation is another reason to implement a data minimization protocol. This is especially the case if you’re a tech company, as reputation and trust significantly influence whether people do business with you – which could affect future growth opportunities. 

How is data mapped, tracked, and secured in the context of data minimization? 

Data mapping will give you an overview of your data landscape. After you map and track this, you can then decide what should stay and the things that need to go. It’s a good idea to go through multiple rounds until you’re happy with how everything looks, and you’ve collected only the absolute essentials. 

It’s a good idea to start with the most sensitive information, such as your customers’ physical locations. Once you’ve addressed this data, you can then work backwards until you think you’ve covered everything. Working in this way is crucial if you don’t want unauthorized people to access sensitive information. 

While security is a primary concern, the cost of data management can decrease with reduced data collection. Striking a balance between security and cost efficiency is crucial. 

Pro Tip: 
When you’ve determined the data that should stay, protect it with encryption, multi-factor authentication, and other security protocols. 

Conclusion

Regardless of whether your jurisdiction has comprehensive privacy laws, data minimization is an essential practice to consider. You should collect as little data as possible; it needs to be relevant to the goals you’re trying to achieve. 

Data minimization is vital for multiple direct and indirect reasons. Consider its impact on cost-saving and your reputation; it’s also worth being transparent with your data collection policies.

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