17 Strategies for Limiting the Negative Effects of Big Data
As mentioned earlier when discussing Big Data's implications for individuals, there is a high potential risk to personal privacy associated with the increase in personal data being stored about us everywhere we go. This cumulative data profile can hold a dangerous amount of personal information, and as such it is important to demonstrate responsibility with the data that is handled.
In order to protect the individual from the malicious exploitation of their data, it is common practice to attempt to anonymise stored personal data in order to ensure that this can be used for things like pattern recognition and inferential analytics without exposing the individual to undue risk of their data being compromised. However, this is often insufficient as correlation can still happen by comparing multiple data sources and identification of individuals can still be done.
You can read more here: https://www.ft.com/content/105e30a4-2549-11e3-b349-00144feab7de
In order to protect the individual from the malicious exploitation of their data, it is common practice to attempt to anonymise stored personal data in order to ensure that this can be used for things like pattern recognition and inferential analytics without exposing the individual to undue risk of their data being compromised. However, this is often insufficient as correlation can still happen by comparing multiple data sources and identification of individuals can still be done.
You can read more here: https://www.ft.com/content/105e30a4-2549-11e3-b349-00144feab7de
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