NextGen Data Discovery | Data Discovery | Data Mapping

AI data analysis and classification

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AI data discovery

Discover your data from multiple sources and identify sensitive or regulated information, including confidential or proprietary data as well as protected data such as personally identifiable information (PII) or electronic protected health information (ePHI)

AI data discovery

Key features

  • Automatically find and classify your data
  • Finds personally identifiable information (PII)
  • Finds electronic protected health information (ePHI)
  • Automatically risk assesses data use
Automate discovery of personal data from multiple sources and identify sensitive or regulated information, including confidential or proprietary data as well as protected data such as personally identifiable information (PII) or electronic protected health information (ePHI).
 

Data Analysis

Automatically classify your data by identifying the types of data within the discovered data sources using a predefined set of patterns, keywords or rules and assigning classification labels to that data.

Automatically classify your data by identifying the types of data within the discovered data sources using a predefined set of patterns, keywords or rules and assigning classification labels to that data.

Key features

  • Data profiling from information sources like databases or files
  • Collecting data statistics
  • Extensive summaries about discovered data
  • Flexible visualisation of data types
Data Analysis
 

Data Visualisation

Visual Data Discovery uses visualisations and visual exploration of data to improve your understanding. Process large complex raw data sets into groups, types and relationships, making order out of chaos.

Data Visualisation

Key features

  • Process large complex raw data
  • Groups data, types and relationships
  • Flexible visualisation using Pie, Charts etc.
Visual Data Discovery uses visualisations and visual exploration of data to improve your understanding. Process large complex raw data sets into groups, types and relationships, making order out of chaos.
 

Data Linking

Identify which processes use what data in a visual way

Data is automatically linked to associated entities based on predefined rules. These relationships are then easily visualised for various reasons but are particularly useful for verification and audit purposes.

Key features

  • Links to data source
  • Process data mapping
  • Asset data mapping
Data Linking