Real-Time Analytics for Operational Decision-Making

Implementation of a real-time analytics platform that ingests, processes, and visualizes streaming data — enabling operators to make informed decisions based on current conditions rather than historical reports.

PRACTICE

Applied AI & Data Analytics

CLIENT PROFILE

Operations center or mission support organization requiring sub-second analytics on streaming data for situational awareness, anomaly detection, or operational monitoring

Challenge

Decision-makers relying on batch reports that are hours or days old
No infrastructure for ingesting and processing high-velocity streaming data
Inability to detect anomalies or changing conditions in real time

Approach

Deploy stream processing platform for real-time data ingestion and transformation
Implement event-driven analytics with configurable alerting thresholds and anomaly detection
Build operational dashboards with sub-second refresh for situational awareness
Integrate with historical data stores for contextual enrichment and trend analysis

Typical Outcomes

Sub-second visibility into operational metrics and events
Automated alerting on anomalies enabling proactive response
Improved decision-making through real-time operational intelligence

Procurement Paths

NASA SEWP V for streaming analytics infrastructure
GSA MAS for analytics engineering services
DoD ESI for Elastic platform licensing

Partner Technology Examples

Elastic
Confluent
AWS GovCloud
Splunk

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