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Entity Analytics - Starter Pack

Entity Analytics - Starter Pack

By: Accenture Federal Services (AFS) Latest Version: 3.5.10
Linux/Unix
Linux/Unix

Product Overview

Battle-tested in mission-critical deployments across government and commercial environments, Entity Analytics leverages your data expertise to resolve records and identify relationships for people, organizations, locations, or any other type of entities.

Entity Analytics - Starter Pack is a single-server system suitable for product evaluation or smaller-scale workloads. Developed solutions can be deployed against larger data on our scalable cluster based AFS Entity Analytics.

Applications:

  • Fraud detection / compliance / monitoring
  • 360-degree view of customer data
  • Insider threat identification
  • Master Data Management
  • Customer Relationship Management
  • Knowledge management
  • Decision support systems
  • Business Intelligence
  • Know Your Client/Customer
  • Anti-money laundering
  • Analytics
  • Visualization
  • Querying and reporting
  • Data exploration and discovery

Key features:
  • Single AWS EC2 Instance - runs entirely on a single AWS EC2 instance, with the disk and memory of the selected EC2 instance type being the limiting factor for processing capacity
  • Fast and Lightweight - for rapid iterative solution development or smaller production workloads
  • Rules-based Entity Resolution - highly customizable, rules-based matching
  • Address Standardization - up-to-date database and address-correction logic cleans up address data to assist in better matching
  • Entity Type Agnostic - process and entity resolve any entity type, be it a person, organization, location, etc.
  • Record Linkage - find links between records or entities and expose relationships other than identity
  • GUI Tool - our web application allows visual inspection of how an entity is formed to enable further evaluation and fine-tuning

Version

3.5.10

Operating System

Linux/Unix, Amazon Linux amzn2-ami-hvm-2.0.20230320.0-x86_64-gp2

Delivery Methods

  • Amazon Machine Image

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