---
title: Case Studies & Knowledge Check | Tiger Data Docs
description: Learn from real-world implementations
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**Module:** Tiger Data 101 → An Introduction to TimescaleDB\
**Section:** Putting TimescaleDB Into Action\
**Estimated time:** 10–12 minutes total (this page: \~2 minutes)

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## Real-world case studies

### ControlCom: 300+ million monthly data points

Facility management company processes 300M+ data points monthly from HVAC and energy sensors.

**Challenge:** Manage cost and performance with massive data volumes.

**Solution:**

- hypertables with daily chunks
- hypercore compression after 7 days (15x reduction)
- Tiering to S3 after 30 days
- Hierarchical continuous aggregates for multi-resolution dashboards

**Result:** 90% storage cost reduction, real-time and historical analytics in one system.

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## Knowledge check

### Knowledge Check

Question 1 of 3

#### A. Which TimescaleDB policy automatically removes data older than a specified interval?

A)Compression policyB)Retention policyC)Tiering policyD)Vacuum policy

Check Answer

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[NEXT CHAPTER→](/learn/tiger-data-academy/tiger-data-101/core-use-cases/iot-financial-and-analytics/index.md)

[Core Use Cases](/learn/tiger-data-academy/tiger-data-101/core-use-cases/iot-financial-and-analytics/index.md)

[Deep-dive into IoT, financial analytics, industrial monitoring, APM, and infrastructure use cases where TimescaleDB delivers the most impact.](/learn/tiger-data-academy/tiger-data-101/core-use-cases/iot-financial-and-analytics/index.md)