Latest Content

2020 Data Science Review (and What to Expect in 2021)

In this 2020 wrap-up, we polled our in-house experts, drawing together their tips and insights for the end of the year and for what's to come in 2021.

The Complete Guide For Data Acquisition

This complete guide breaks down data acquisition into six steps, including data provider due diligence and data provider tests to uplift your model's accuracy.

GlassesUSA.com Uses Explorium to Grow Revenue by Double Digits

GlassesUSA.com increased both conversion rate and order value with Explorium, which lead to a 15-20% increase in the per-session value for their affected segments.

Rethinking Data Acquisition With Explorium

Explore our resource Rethinking Data Acquisition with Explorium. Without the right technology - and the right data - many analytics and ML projects never get off the ground.

Optimize Your Analytics — Why You Need a Data Acquisition Strategy

It’s no secret that external data can transform organizations’ data science and advanced analytics, but finding it is easier said than done. See how a data acquisition strategy helps

The Most Common Errors in ML Projects and How to Avoid Them

In this whitepaper, we cover some of the most common errors in ML initiatives, and best practices to avoid them

Security and Compliance in External Data Acquisition

How to Include Data Science Platforms in Your 2021 Budget

In this brand new guide, you’ll discover the key business benefits of switching to a data science platform, whether to buy or build your own, and top tips for calculating your TCO.