Data Discovery Evolving Into Information Relationship Mapping Leveraging Machine Learning

What once started as early analysis of singular data sources has now evolved into far more robust ways of analyzing information and the relationships between different fields and information sources. Data discovery is another area where machine learning (ML) is beginning to make inroads. Twenty years ago, data discovery was a term used to define the early analytics needed to better understand data. For instance, Evoke Software was a company that analyzed large volumes of customer data. It both used metadata to understand field content to find trends and exceptions, and also looked at raw data and used algorithms to identify field boundaries in older or less documented data sources.