Data privacy is crucial when an organisation starts its big data journey (yes, it is a journey and not a short one). Everybody in the organisation asks how they can collect the maximum amount of data to leverage it (AI, Predictive analytics, ML,…). However, this leads to both ethical and regulatory constraints that any company should address from the very beginning if they don’t want to struggle to implement them in the future.
This matter is linked to data governance which should be considered from the very first stages of a big data journey. It is essential to understand what kind of data an organisation hosts and guarantee maximum levels of data privacy. This will build customer confidence in sharing their information with so companies can offer better services.
Data Privacy .... While the outcome of pending legislation is anyone’s guess, American lawmakers could follow the lead of the European Union and create an environment that protects people. In 2018, the EU’s General Data Protection Regulation (GDPR) will be fully implemented with the primary goal to “give citizens back control of their personal data.”