Session: Data Profiler, an Open Source Solution to Explain Your Data
Companies rely on their customer data to improve their business quality and customer service. This necessitates the requirement of protecting their private customer information such as Personally Identifiable Information (PII) and Non-Public Personal Information (NPI). This information may include, but is not limited to, customer names, physical addresses, IP addresses, bank account numbers, and credit card numbers. This sensitive information exists in many data sources under both unstructured (phone transcripts from customers) and structured (tabular transaction data) datasets. In order to detect sensitive information from these sources, Capital One has developed a quick-and-easy-to-use open source library, Data Profiler, that helps read and identify sensitive information from different file types.
