Quick Insight
Alternative data is information used for analysis that’s generated or collected outside traditional channels, like financial statements or government reports. It captures real-world behavior, often before that behavior shows up in official numbers, which is why it’s become useful well beyond finance.
Why Alternative Data Matters
- It gives a timelier signal than traditional reporting, reflecting what’s happening in the real world right now rather than waiting for a scheduled report.
- It comes from a wide range of sources: sensors like satellites and mobile devices, individuals through reviews and app activity, and everyday business activity like transactions.
- It supports things like forecasting demand from foot traffic, tracking store openings and closings, and comparing competitors within an area.
The honest limit: alternative data is powerful because it’s messy and real-world, but that also means it needs cleaning, standardizing, and context before it’s actually useful. Raw signals on their own can be misleading without that work.
Types of Alternative Data
- Sensor-based: satellites, mobile devices, and cameras tracking geospatial signals.
- Individual-generated: social media, reviews, and website or app activity.
- Business-process-generated: payment transactions, receipts, and pricing data.
Want to go deeper into alternative data?
Read our full guide: What is Alternative Data? Types, Sources & Use Cases
Frequently Asked Questions
1. What's the difference between alternative data and traditional data?
Traditional data comes from official sources like financial filings or government reports. Alternative data comes from outside those channels, sensors, transactions, or everyday digital activity.
2. Who uses alternative data?
Originally popular with investors and analysts, it’s now used by retailers, real estate teams, and researchers who need a faster read on real-world activity.
3. Is POI data a type of alternative data?
Yes. Point of interest data is one of the most common types of alternative data used for location-based analysis.
4. Does alternative data replace traditional data?
Not usually. It’s most useful alongside traditional data, filling in gaps and adding a timelier, more granular layer.
5. Why is alternative data considered more timely than traditional reporting?
Because it reflects activity as it happens, like foot traffic or transactions, rather than waiting for a scheduled report weeks or months later.
