Empowering Decision Makers: Explorium's White Papers Feed
From predictive modeling to AI, access cutting-edge insights in our white papers
2022 State of External Data
Explorium research survey If you’d like to know how you compare with other organizations in the pursuit of the most relevant external (3rd-party) data, then don’t miss our latest research….
The Essential Guide to Boosting Lead Scoring with External Data
Not all leads are created equal. Some prospects might be a better fit for your product or service, have a bigger pain to address, or are closer to deciding to…
Practitioner’s Guide: External Data for Business Analysts
External data is not a new concept. Businesses have been buying it in some form or another for nearly as long as they’ve been running analytics programs. But now many…
How to Deploy and Future-Proof Your Models: From Theory to Production
It’s no secret that while most organizations understand the importance of machine learning, most initiatives never make it off the ground. Follow this guide to guarantee you make it to production.
Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?
There’s no one way to start using data science. This guide walks you through the pros and cons of each approach and discusses how to allocate your budget efficiently.
AI is Making BI Obsolete, and Machine Learning is Leading the Way
Why are we still hung up on BI? It’s time to embrace a paradigm that empowers us to make smarter, better predictions using real data with machine learning.
Feature Generation: The Next Frontier of Data Science
It’s time to take feature generation – a subset of feature engineering – from an art to a science by opening up additional data sources to achieve breakthroughs in predictive models.
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.
Building the Dream Team: Who Should Be Part of Your Data Science Organization?
Creating a data science team is about so much more than tracking down the right job titles or developing the right algorithms. Find out the key roles you need to build a rock star data science team.
How Can You Enhance Your Risk Models? Finding Better Signals to Feed Them
In this in-depth guide, we reveal the real reasons your machine learning risk models are falling short, what you can do to fix them — and exactly how to tackle the problem.
Where’s the Weakest Link? Understanding Risk in Supply Networks
In our interconnected, globalized world, it’s harder and harder to track the weak spots in your supply chain. That’s why we created this handy guide to understanding and mitigating supply chain risk.