# Stop reacting late. See it as it happens.

> Daily reports tell you about problems after they cost you money. We build streaming pipelines and live dashboards that surface what's happening right now, and alert you the moment it matters.

**Service:** Real-time Analytics  
**Provider:** Parix Digital Pvt. Ltd.  
**Regions served:** United States, United Kingdom, India  
**URL:** https://www.parix.digital/services/realtime-analytics  
**Contact:** sales@parix.digital · +91 91068 33831

## Key takeaways
- Parix Digital builds real-time analytics: streaming pipelines and live dashboards with sub-second latency.
- Powered by Kafka, Flink, and ClickHouse, with instant threshold and anomaly alerts.
- Ideal for live production-line, sales, and operations monitoring at millions of events per day.

## The reality: Yesterday's report can't fix today's problem.
- **Decisions on Stale Data** — By the time the morning report lands, the line has already run scrap for hours.
- **You Find Out Too Late** — A machine fault, payment failure, or fraud spike is only visible at end-of-day.
- **Static, Lifeless Reports** — PDFs and weekly decks cannot answer "what is happening right now?"
- **No Alerting** — Nobody is watching the dashboard at 2am. Problems escalate silently.
- **Can't Handle the Volume** — Sensor, clickstream, and transaction data arrive faster than a spreadsheet can absorb.
- **Laggy Dashboards** — Heavy queries on the production database slow everything down.

## What we deliver: Live visibility and instant alerts
### Streaming Architecture
A scalable event backbone for everything that happens in your business.

- Kafka/Pulsar Setup
- Topic & Partition Design
- Exactly-once Delivery
- Back-pressure Handling

### Event & IoT Pipelines
Capture data from apps, machines, and sensors in real time.

- IoT/MQTT Ingestion
- App Event Tracking
- Database Change Capture
- Schema Registry

### Real-time Processing
Aggregates, joins, and KPIs computed on the fly.

- Flink/Stream Processing
- Windowed Aggregations
- Live KPI Computation
- Enrichment & Joins

### Live Dashboards
Sub-second dashboards for every team and screen.

- Grafana/Custom UI
- WebSocket Live Updates
- Drill-down Views
- Wallboard Mode

### Alerting & Anomaly Detection
Threshold and ML-based alerts that reach the right person.

- Threshold & ML Alerts
- Slack/SMS/Email
- On-call Routing
- Alert Deduplication

### Scale & Reliability
A fast analytical store and resilient infrastructure.

- ClickHouse/TimescaleDB
- Horizontal Scaling
- High Availability
- Latency Monitoring

## Process
1. **Stream** — Capture events and sensor data into a scalable backbone.
2. **Process** — Compute KPIs and aggregations in real time.
3. **Visualise** — Build live dashboards per team and screen.
4. **Alert & Scale** — Anomaly alerts go live and the platform is hardened for volume.

## Why Parix Digital
Real-time done right, and reliable.

- Sub-second latency from event to dashboard
- Alerts that reach the right person instantly
- Built to handle millions of events a day
- Won't slow down your production database
- Live dashboards tailored per team and screen
- Resilient, monitored, high-availability infrastructure

## FAQ
### How real-time is it really?
For most use cases we achieve sub-second to a few-seconds latency from event to dashboard, whether your infrastructure runs in US, UK, or Indian cloud regions.

### Can you monitor our production line or machines?
Yes. We ingest from IoT sensors and PLCs via MQTT or OPC-UA to power live OEE, downtime, and quality dashboards. We support plants in India as well as US and UK facilities monitored remotely across time zones.

### Won't heavy dashboards slow down our database?
No. We separate analytics from your operational database using a streaming pipeline and a fast analytical store like ClickHouse.

### Can it alert us automatically?
Yes. Threshold and ML-based anomaly alerts are delivered via Slack, SMS, email, or PagerDuty, routed to whoever is on call in your US, UK, or India teams.

### How much data volume can it handle?
Architectures scale horizontally to millions of events per day and beyond.