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…
The Guide to External Data for Better User Experiences in Financial Services
Are your KYC processes streamlined enough to get the answers you need, fast? Or are valuable customers dropping off before you get the chance to onboard them?
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
Taking Control of Your Data: An Essential Guide for Marketers
How can marketers leverage all their data for better predictive insights? It’s all about knowing what you need, how it can help, and the right platforms and tools that can help achieve your goals.
6 Steps to Jumpstart Machine Learning Using the Resources You Already Have
ML has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. Here are 6 easy steps to follow to get going with the resources you have.
Part One – Making Sense of Data: Auditing, Discovery, and Acquisition
Do you have enough data to get the insights you need? And if not, how can you fill the gaps? In part one of this series, we dive deep into auditing, discovery, and acquisition.
The Essential Guide to Feature Selection
Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong.
Making Alternative Credit Scores the Norm: How to Create a New Scoring Model
The current credit scoring model is outdated and in need of an upgrade. Read how to go about building a smarter, more accurate credit scoring model – and the data you need to do so.
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.