Novetta Entity Analytics

Novetta Entity Analytics reveals real-world networks, behaviors, and trends within your data holdings, illuminating potential threats, targets, and opportunities. It provides a proven foundation for the data-driven allocation of your scarce human analytical resources. Delivers Unparalleled Clarity into Entity Data Constructs entity profiles from multi-source data and provides rich details on actions and behaviors; publishes data compatible with existing tools to drive cross-organization consistency, enable deeper understanding, and generate precise predictions. Empowers 360 Analysis Empowers intelligence discovery, fraud detection, and security threat assessment by combining and resolving entity information; detects patterns, relationships, and social networks hidden within your data. Advances Information Management and Analysis Improves organizational, enterprise analytics and outcomes by adding internal and external data sources; augments data integration, data quality, MDM, , and data warehouse applications to gain new insights. Increases Analytical Productivity Prepares your information battlespace by providing a quality-assured, consistently updated cross-corpus data layer. Your data scientists plug directly into data organized to accelerate algorithm development needed to address dynamic mission priorities. Features: Proven Enterprise Speed and Scalability Scales linearly across clusters and delivers accurate resolved entities from massive volumes of data. Resolves billions of records, proven through years of supporting complex missions for Law Enforcement, Defense, and Intelligence Community customers. Entity Linking Built-in relationship matching strategies allow analysts to quickly detect simple and complex networks and relationships across all data. Complementary, customized payload attributes are used to detect complex, non-obvious relationships between and within entities, including temporal and behavioral links. Entity Resolution & Relationship Analysis Automatically resolves records into entities by partitioning data, matching and grouping records, and building resolved entities. Identifies relationships among entities and records; discovers hidden connections, such as common households or shared event attendance. Conducts larger scale exploitation of transactional data, adds more meaning and context to data, and goes beyond simple resolution. Power Analyst and Developer Interfaces The RESTful API, synchronized with the UI, offers access to features within the graphical workspace and makes them available for other applications. A command line client is provided that allows data scientists or developers to replicate all abilities from the console quickly and efficiently. Flexible Deployment Options

• Installs without disruption or modifications of operational or transactional systems, changes to business processes, or rework of data flows. Deploy on premise or in the cloud (Amazon Web Services or Microsoft Azure) using the Cloudera or Hortonworks Data Platform.
• Operates natively in AWS using Elastic Map Reduce (EMR) or Databricks.
• Available on demand in the AWS Marketplace.