10 Big Data Analytics Privacy Problems

Author: Rebecca Herold

Publisher: SecureWorld

Publication Year: 2014

Summary: The following article discusses how 10 of the most significant privacy risks are: 1). Privacy breaches and embarrassments; 2). Anonymization become impossible; 3). Insufficient data masking; 4). Unethical misinterpretation; 5). Inaccurate data or flawed models; 6). Discrimination; 7). Few legal protection; 8). Forever-existing data; 9). Concerns for e-discovery; and 10). Decrease royalties associated with patents and copyrights. To reduce these risks, organizations should consider these privacy risks during the planning stages; establish responsibility, accountability, policies, and procedures; and incorporate privacy and security controls into the related processes.