
For data to be used effectively and shared between business entities, it must be stripped of all identifiable characteristics in a way that does not render it useless to analytics algorithms. The practice of data anonymization and de-identification walks a thin line between data that can be used for analysis and data that divulges too much personal information and violates privacy rights. Unfortunately, we have learned through experience that there is no such thing as “completely secure” when it comes to computers and the internet. Companies that take advantage of data analytics must continually refine and adapt data procedures for […]