Case study · Public safety

Big data and AI in public safety

An integrated data intelligence solution for investigating financial crime and money laundering, with multi-source capture, relationship networks and an electronic police-inquiry cockpit.

Client: Security Solution: Analytics + ONDA
What we did

Five integrated workstreams

  1. Data integration and capture — external sources, social media, bank-records data (SIMBA/Central Bank), the Ministry of Justice, credit bureaus, courts and agencies.
  2. Financial crime and money laundering investigation — an investigative environment with relationship networks and analysis of COAF financial intelligence reports.
  3. Intelligence — a 360° view of the target, social media monitoring, a smart vehicle-tracking cordon and facial biometrics.
  4. Asset recovery — management of assets under custody, wealth analysis and court integration.
  5. Electronic police-inquiry cockpit — a single screen with everything the investigator needs.
Results

Big data + AI turning raw data into action

The solution combines big data and AI algorithms to turn large volumes of raw data into valuable insight. Using machine learning and NLP, it analyzes police reports, court-ordered disclosures of tax and telephone records, social media feeds, public records and camera footage — surfacing hidden patterns, crime trends and networks of suspicious activity, so teams can act proactively to prevent crime.

Benefits

Impact on the front line

Frontline service

Better frontline service to the public, with greater safety.

Less litigation

In public safety, through efficient and responsive settlement.

Population served

Better served across many aspects of public safety.

Data intelligence applied to public safety

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