Data sharing with partners can unlock new opportunities, but it requires safe, ethical, and GDPR-compliant practices. Clear agreements, a neutral intermediary for data linkage, and respect for consumer rights are essential. Proper organization, transparency, and secure processing techniques are key to building trust and maximizing the value of shared data.
Data sharing is a trend. There are many applications where comparing or exchanging data with one or more data partners will create new opportunities.
Data exchange is an activity that you want to organise in a way that is safe, ethical and, of course, lawful. What you certainly cannot do is simply provide data to each other.
What do you need to organise it properly?
Obviously, one or more partners with relevant data : a party that has exactly the data that can make a difference to you. It is even more convenient if your company can in turn be an interesting partner for this party.
It is crucial to be on the same page as your partners when it comes to compliance withGDPRand theethicaluse of personal data. Transparency is essential here, between partners and towards the consumer. Make clear agreements between you on this:
- What data will it be?
- What are the restrictions on the use of this data?
- How long will the cooperation last?
- What exactly can be done with the data?
Preferably work with aneutral intermediary or a solution that can link the data for you and take care of the subsequent activation or analysis of the data. Technically, there are methods for processing personal data in a very secure way, both with readable personal data and with pseudonymised data. This neutral intermediary ensures that the data is used exactly as both parties wish, and nothing else.
You will also need a qualitative and technically powerful solution for acorrect data linkage. If you link data sets in a disordered way, you will also get a disordered result. Data linkage is a craft, and also the processing that follows after linking the data requires the necessary data knowledge. Especially if data science skills are applied to the linked data.
And finally, ask yourself how the consumer fits into this picture. As with any other data processing, it is important to take into account the expectations of the consumer. His or her rights must be respected: in particular, the right to be informed and to be able to object easily to a certain use of his or her data must be given due attention here. In this context too, transparency and respect are the building blocks of an ethical and healthy relationship between business and consumer.
Would you like to know more? As a neutral party with the appropriate solutions and knowledge, we will be happy to help you. Please do not hesitate to contact us!
