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