Real-time Analytics

Analytics at the Speed of Now

Sub-second dashboards, streaming ingestion, and operational analytics — because batch processing is not fast enough for real decisions.

The Problem

Batch pipelines that refresh overnight are fine for monthly board reports. They are useless for operational teams that need to react to events as they happen — a production stoppage, a fraud transaction, a surge in customer complaints. By the time a batch report surfaces an issue, the damage is already done.

Use Case

Streaming, Operational, IoT

Our Approach

We architect real-time analytics layers using ClickHouse as the analytical engine, Kafka or Redis Streams for ingestion, and Power BI in DirectQuery or push-dataset mode for visualization. The result: dashboards that reflect reality within seconds, not hours.

  • ClickHouse materialized views for sub-second aggregations
  • Kafka / Redis Streams for event ingestion
  • Power BI DirectQuery with query folding optimization
  • Alerting and anomaly detection on streaming data

Speed

Sub-second query latency

Outcomes

  • Dashboards reflecting live data within 5 seconds of event
  • Automated alerts triggered by anomaly detection models
  • Operational teams acting on events, not on reports about events
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Impact

React in seconds, not hours