Fix ID Data Quality in Big Data
Wrangle & Hygiene Identity Data Before Sharing or Analysis
Big Data often also has Big Quality problems that need to be overcome before data can be moved, secured, analyzed or shared. No where is this more pronounced than with personal identity data. Customer, employee or client identifiable information now makes up by some estimates 75% of all Big Data. However within that data there is often inaccuracies and noise that need to be removed, unnecessary duplicates, orphaned and unused data that requires minimization and extremely sensitive data that needs to be accurately identified for enhanced security and control management.
BigID helps organizations know their data. The BigID software provides organizations an automated way to accurately identify, locate, classify, catalogue and metric their identity data.
Traditional data discovery tools lack accuracy, can’t span structured and unstructured data stores and aren’t identity optimized; BigID is.
Classification & Correlation
BigID can determine what kind of identity data is discovered, the uniqueness and how correlated one identity profile is to other data.
Organizations struggle identifying and correlating customer profiles across business units and merged entities. BigID can help measure closeness of discrete identities and show attribute connections between identity entities to resolve sameness across profiles.
BigID provides concrete measures of identifiability to help organizations take privacy and regulation appropriate anonymization measures on data