As data environments grow larger and more complex, so too do the data rules, which become a significant management burden. Smart View relies on statistical analysis and advanced, patent-pending algorithms to perform record linking and relationship analysis. Simply put, Smart View represents a better way to find what matters most in your data.

Smart View was developed to address big data. The combination of big data scale and advanced entity resolution analytics makes Smart View the right choice for the most difficult, mission critical identity intelligence challenges.

Intuitive Data Analyst Environment

Smart View’s defining feature is its web-based environment for identity intelligence data management. It provides data analysts an intuitive, workflow-oriented set of capabilities which include:

Workspace Management: Create and manage entity resolution projects.

Data Ingest: Configure and upload raw data files.
Define a “header” file, the result of combining raw data files that will be used for analysis.

Data Discovery: Profile and report on data composition, quality, and issues.
Perform data hygiene to identify problems with the data.
Explore the contents of generated header files.

Linking: Execute automated, statistical linking of complex data from multiple sources.
Link disparate records to create entity clusters; detailed composite profiles of unique entities.
Fine tune linking specifications and define target relationships.
Identify non-obvious relationships across large populations of entity clusters.

Analysis: Perform in-depth analysis, using reports and visualization tools, to assess the effectiveness and accuracy of an entity resolution and relationship analysis process.
Explore networks of resolved entities using dynamic link charts and relationship graphs.

Key Features

  • A revolutionary web-based user interface that makes it easy for data analysts to develop highly accurate, large-scale, mission critical identity intelligence solutions.
  • A massively parallel ETL (extract, transform and load) and data processing engine, capable of handling terabytes to petabytes of raw data.
  • Patent-pending statistical approach to matching related records and identity-hidden relationships among groups of resolved entities in massive, non-relational data to uncover complex networks of entities.
  • Designed to process imperfect data, thanks to built-in data profiling and data hygiene capabilities as well as an extensible set of approximate string matching (or fuzzy matching) routines.