In this episode of What That Means, Camille discusses data anonymization with Kristin Ulrich, Senior Solutions Specialist at SAP for HANA architecture. Find out why data privacy should matter to you.
The conversation covers:
What data anonymization means
The difference between pseudonymization and anonymization
What questions you need to ask before sharing data with another company
How different legislations impact data anonymization and data sharing
...and more. Don’t miss it!
The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.
Here are some key take-aways:
Data anonymization means information is irreversibly altered and can no longer be identified directly, or indirectly
The type of parameters or methodology applied to a data set will depend on on each individual data set
There is always a level of risk involved with anonymization, you cannot guarantee complete anonymity
If you are working with companies in different countries make sure you understand any data regulations laws, in some cases they are continually evolving.
Some interesting quotes from today’s episode:
“And every time we speak about data anonymization, it's really important for us to really get into the depths of the use case and then decide which of the two methodologies should be applied and how we can actually bring the use case to life.”
“So I think it's always super important to get down to the use case to really understand what it is the other person wants to get out of the data and then see if we have the right technology in place and the right people in place to actually do it, to actually put it to life.”
“I think the most important topic to solve is the unstructured data part, because then we would probably be able to think about use cases that are currently unthinkable—at least that's my current understanding and my current assumption. But maybe it's something completely different and something you and I are not even thinking about today.”