---
title: "The Complete Guide For Data Acquisition"
description: "This whitepaper breaks down: Six easy-to-follow steps for data acquisition, a complete checklist for data provider due diligence and more."
canonical: "https://www.explorium.ai/resource/the-complete-guide-for-data-acquisition/"
last-updated: "2022-10-31"
---

# The Complete Guide For Data Acquisition

> This whitepaper breaks down: Six easy-to-follow steps for data acquisition, a complete checklist for data provider due diligence and more.

- Canonical URL: https://www.explorium.ai/resource/the-complete-guide-for-data-acquisition/
- Last updated: 2022-10-31

**Data scientists are constantly challenged with improving their ML models. **

But when a new algorithm won’t improve your AUC there’s only one place to look: DATA.

Generating, testing, and integrating new features from various internal and/or external sources is time-consuming, difficult, and more “artistic.” But it could lead to a major discovery and move the needle much more.
**This whitepaper breaks down:**

 	- Six easy-to-follow steps for data acquisition

 	- Complete checklist for data provider due diligence

 	- Data provider tests to uplift your model’s accuracy