Common governmental use cases for data-driven
investigations and risk assessment include:
Organizations employing decision intelligence to confront these
use cases face two main challenges:
Data fusion challenges stem from the multi-disciplinary and siloed
nature of data sources. Organizations often lack a single data
repository, thus making data difficult to correlate. This results in
analysts spending the bulk of their time organizing data rather
than analyzing it and driving decision-making.
In order to build and correlate unified profiles from dynamic data,
analysts also need the ability to adjust the data models which define
how they can be analyzed and presented.
Risk assessment challenges are common among public organizations,
who often lack a variety of sources and must extract insights solely
from their own internal databases and records. For many of these
organizations, data enrichment is less about fusing external sources
and more about effective analysis of internal data.
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Decision intelligence
Serious and
organized crime
Money laundering
Terrorism
Customs fraud
Tax evasion
Cybercrime