Resource Center
Insights to grow your business
The Predictive Prospecting Advantage: A New Era for Manufacturing Field Sales
Ongoing challenges for manufacturers have been exacerbated by inflation-driven, rapidly rising prices affecting everything from distribution costs, and business closures. This climate makes it more crucial for manufacturers to penetrate…
Driving Manufacturing Success with Predictive Prospecting
Discover How Explorium’s Predictive Prospecting Solution Transforms Manufacturing Businesses In an era where disruption is the new normal, operational and revenue resiliency has become paramount in the manufacturing industry. This…
The Impact of Predictive Prospecting on Manufacturing Go-to-Market Strategies
Unlock the power of data-driven prospecting in your manufacturing business with our comprehensive industry report. Learn how predictive prospecting can revolutionize your go-to-market strategies and lead to more efficient operations…
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.
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.