Science Applications International Corporation (SAIC) today introduced DigitalEdge, a versatile big data software platform capable of real-time, high-volume data ingestion and processing from a variety of complex data sources – helping organizations streamline business operations and enabling decisive action.
DigitalEdge is the first technology release from a family of Critical Insight big data optimization solutions for the enterprise. Large organizations in industries such as energy, financial services, health, national security and telecommunications can now benefit from a robust intelligence solution that facilitates real-time actionable business decisions, generating alerts for applied use cases such as cyber security threats, electronic financial fraud detection, medical research and digital anomalies.
The DigitalEdge platform enables automatic scaling to handle the on-boarding and processing of high velocity streaming data. DigitalEdge solves the problem of managing and interpreting complex information with data enrichment, which correlates and merges related data into context-rich records. DigitalEdge also empowers decision makers with real-time alerts when data anomalies are detected. The platform can process billions of data records per day while providing situational awareness based on user-defined alerting criteria.
The platform runs in private, public and hybrid cloud environments and can provide output to a number of NoSQL data stores based upon customer needs. Additionally, DigitalEdge can easily integrate with legacy systems, ingesting and analyzing data that an organization currently generates.
• Real-time actionable intelligence: provides timing and context for a competitive advantage or enhanced situational awareness
• Component agnostic: easily integrates with legacy solutions while focusing on agile improvements
• Threat detection and prevention: enables organizations to stay in front of opportunities and threats to critical and sensitive information through real-time alerts
• Operational efficiency and productivity: dynamically scales up and down as processing and storage demands fluctuate