SAS in the Electricity Industry

1976. year

SAS began to help companies in the industry make decisions with data

90%

Fortune 500 in electricity industry relies on SAS

560

Energy companies using SAS around the world

#1

Recognized as the #1 analytical brand in the industry

SAS is a leader in all key Data & Analytics categories

Enterprise Fraud

AI/ML Platforms

Why SAS?

Advanced analytical solutions enable advanced automatic anomaly detection

Advanced analytics solutions

  • Network analysis, Detecting customer interconnectedness in a transaction network allows you to focus on entity behavior
  • Central search engine & analysis of anomalies, enable quick triage and elimination of false-positive cases, so investigators' resources are not wasted on them
  • Scenarios, they allow for more complex algorithms (combination of many rules in one scenario), and Machine learning from the results of investigations that can automatically calibrate risk scoring rules
  • One solution for automatic detection, triage and management of investigations enables growth in investigators' productivity, as well as impenetrable security models with a complete back-log

Challenges of ERP validation

  • Focus on the transaction, Limits the understanding of the behavior of the entity and its related entities
  • Inability to quickly triage results in the acceptance of false-positive cases into the investigation, which leads to inefficient use of resources
  • Triage and investigation processes become very complex with the increase in the number of active rules
  • Investigation processes are conducted through other systems, so there is no central search engine
  • Security models and GDPR are a major challenge for the investigation process because the investigation is conducted through different systems
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