Products & Solutions / Social Network Analysis

SAS® Social Network Analysis

An integral component of the SAS Fraud Framework

Fraud is a growing problem for banks and insurance companies, in large part because it is so hard to detect. That's because fraudsters act much like legitimate customers, and they employ increasingly sophisticated fraud techniques that enable them to fly well below the radar.

SAS Social Network Analysis helps institutions detect and prevent fraud by going beyond individual and account views to analyze all related activities and relationships at a network dimension.

Benefits

  • Gain a holistic view of fraud.
  • Identify more fraud while greatly reducing false positives.
  • Double or triple investigator efficiency.
  • Prevent future fraud.

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Features

  • Intuitive network visualization interface
  • Advanced profiling engine
  • Advanced, large-scale network analytics
  • Web-based environment

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Product Demo

This executive-level demonstration shows SAS Social Network Analysis being used as part of the SAS Fraud Framework to identify potential fraud in a bank.


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How SAS® Is Different

No other fraud solution provides the same level of detection, automation, ease of use and ROI, including the ability to:

  • Visualize social networks and see previously hidden connections and relationships in a highly intuitive manner.
  • Achieve unrivalled detection rates using advanced data network building and analytic techniques.
  • Maintain extremely low false positive rates with true, large-scale network analytics that deliver more alerts that you can act on.
  • Evolve from parameter-driven, rules-based systems to dollar-amount-agnostic neural network and modeling approaches.
  • Perform supervised and unsupervised scoring, using predictive analytics to spot anomalies in the data.
  • Gain a true enterprise view of fraud by aggregating alerts from multiple systems into a single environment.
  • Take full advantage of external data sources (e.g., fraud consortium databases).
  • Customize the solution as needed (e.g., develop fraud models unique to your institution).
  • Increase ROI per investigator tenfold with fewer false positives, prioritization of higher-value networks and more accurate, efficient investigations.

Benefits

  • Gain a holistic view of fraud. Go beyond the typical customer view of fraud to see the bigger picture – including related perpetrators – and gain a clearer understanding of customer behavior.
  • Identify more fraud while greatly reducing false positives. With SAS Social Network Analysis, you can reduce false positives and identify more actual fraud, which increases your overall capture rate and decreases the solution’s total cost.
  • Double or triple investigator efficiency. The solution significantly reduces the effort normally associated with investigating fraud, with each referred case taking only one-half to one-third of the time usually required for investigation.
  • Prevent future fraud. SAS gives you a better understanding of emerging threats so you can take action to prevent substantial losses before they happen.

Features

Intuitive network visualization interface
  • Gain a complete picture of individual customers, their products, and networks at the click of a button.
  • Actually see network connections to uncover previously unknown relationships and conduct more efficient investigations.
  • Explore entire networks of identities, accounts, claims and applications in minutes rather than hours.
  • Drill down further into underlying data for full customer details, including other linked customers and networks.
  • Produce complete dossiers of networks surrounding a case.
Advanced profiling engine
  • Produces independent and combined scores to assess overall risk on a customer, product and network basis, then generate alerts that are automatically routed to the appropriate resources.
  • Scores applications and claims based on scorecard-driven models and text analysis.
  • Scores individual customers and their full histories.
  • Scores associated networks using behavioral data (patterns, network growth rates, activity levels) and other data provided (current/previous addresses, contact numbers, employers).
  • Performs batch processing of existing customer accounts and real-time scoring, enabling you to detect and investigate existing fraud as well as prevent new fraud.
  • Ingests existing risk scores or red flags and provide an aggregated score at the network level to identify subtle or hidden relationships.
Advanced, large-scale network analytics
  • Work across internal and external data sources to link customers and accounts based on common attributes or more subtle patterns of behavior.
Web-based environment
  • Manages the routing and processing of potentially fraudulent applications and proactive investigations within special investigation units.
  • Measures productivity and provides other information to help manage the unit efficiently and effectively.

Demos

Demo
Fighting Claims Fraud with SAS® Social Network Analysis

SAS Social Network Analysis can be used as part of the SAS Fraud Framework to identify insurance claims fraud.

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Demo
Fighting Bank Fraud with SAS Social network Analysis

This executive-level demonstration shows SAS Social Network Analysis being used as part of the SAS Fraud Framework to identify potential fraud in a bank.

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Screenshots

Screenshot
View associations between people in a network view.

SAS Social Network Analysis shows connections between customers and accounts to help you identify suspicious activity.

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Screenshot
SAS Social Network Analysis provides detailed alerts.

SAS Social Network Analysis provides detailed alerts about potentially fraudulent activity.

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Screenshot
A full expanded network view.

Using SAS Social Network Analysis a potential "bust out" fraud ring can be visualized by indicating multiple unsecured loans that are associated with a flagged individual.

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Ready to learn more?

- Read the SAS Social Network Analysis product briefs for banking and insurance.

- Call us at 1-800-727-0025 (US and Canada) or request more information.