Many useful business insights can arise from analyzing customer preferences, behavior, and usage patterns. With this information, businesses can innovate faster and improve the customer experience, leading to better engagement and accelerating product adoption. More and more businesses are looking for ways to securely store and restrict access to customer data, which may include personally identifiable information (PII) and other sensitive information. Accessing customer data for use cases such as analytics and Machine Learning requires careful management of access permissions and the ability to audit usage.
This is a companion discussion topic for the original entry at https://aws.amazon.com/blogs/big-data/securely-analyze-your-data-with-aws-lake-formation-and-amazon-quicksight/