Leidos Anomalitics

Anomalitics enables data-driven missions in operations, engineering, science, and financial operations by providing the capabilities to design and implement algorithms, perform advanced time series and ordered data analysis, and structure decision-making around data and insights. Customers can utilize their own data sources and securely connect to outside data sources to bring together the essential context for a particular problem or operation. Anomalitics provides the seamless processing and refinement of data sources as well as the traceability and transparency needed to ensure customers can rely on the quality and provenance of their data analytics.

• Operations specialists are alerted to anomalies in live data sources and can instantly see the essential context for incoming observations.
• Engineers can rapidly onboard new sources of data and immediately establish the historical trends and structural patterns in the data.
• Scientists can form fully traceable data frameworks around experiments and simulations, guaranteeing the provenance and enabling the exploration of influences on the results.

Anomalitics gives organizations a fully modernized approach to their data analytics. The capabilities of Anomalitics include:

• Anomaly Scores for each data point in any time series or ordered data. Anomaly Scores can be derived in-stream for live sources of data with extremely low latency and resource use.
• Anomaly alerts for key data sources, locations, or intersections with logistics and operational data. Alerts can be used as drivers in event-based architectures or structured decision frameworks.
• Smooth and transparent onboarding, ingest, and signal processing for complex data sources including geospatial, sensor, and operational data.

Related AWS Services:

• AWS Glue
• AWS DataZone
• AWS EC2
• AWS Quicksight
• AWS Lambda
• AWS S3
• AWS Redshift
• AWS Athena