In today’s data-driven world, safeguarding customer privacy is key. Join us as Khun Bright Surasee Intarawat, a Data Engineer from SCB TechX, shares 5 quick Data Anonymization tips to ensure your data remains secure and anonymous:
- Data Masking: Masking certain parts of data, leaving only the last 4 digits visible (e.g., xxxx-xxx-1234).
- Data Generalization: Presenting data generically to avoid pinpointing the data owner, such as displaying the age range instead of the customer’s birthdate (e.g., 21–30 years old)
- Noise Addition: Add controlled noise to data for added security. For instance, representing a customer’s weight of 45 kilograms as 43 kilograms instead.
- Permutation: Swapping values within a column, like swapping data values between row 10 and row 50.
- Pseudonymization: Substitute original data with encrypted versions.
Let’s keep data safe and secure! For the Data Anonymization process, stay tuned for updates on our page 😊.
Lastly, SCB TechX is ready to provide any organization with professional advice, technology solutions, and comprehensive Data Platform services through TechX Data Platform.
If you are interested, please feel free to contact us at contact@scbtechx.io
Or visit us for more details at https://bit.ly/3QjtHgl
