Explorium's Data Insights Blog
Where data, marketing, and sales professionals come together
To Really Know Your Customer, You Need A Risk Modeling Platform Fueled by External Data
By now, everyone and their dog has seen the true-crime thriller Dirty John on Netflix, but just in case you’re the exception, here’s a quick summary: smart, successful woman meets a charming man with a suspiciously empty past. Red flags start popping up all over the place, but each time, the heroine gives her charming […]
Conceptualizing a Model To Predict Successful Hires: Reframing the Problem
The bad hire has been a problem in recruiting for as long as we’ve been doing it, but it seems that no matter how we try, it’s hard to predict how well someone will pan out once they actually start their job. Even in today’s data-rich world, with the incredibly granular view we have of […]
5 Ways Data Science Can Help You Improve Your AI Marketing Automation
AI marketing automation has completely changed the game for digital marketers, allowing you to launch and scale campaigns swiftly, try out different ideas, and pivot quickly as new opportunities arise. The time-saving and cost-cutting potential is enormous. To really get the most out of your campaigns, though, you need data science. That’s because automating marketing […]
Business Credit Rating Data
What is business credit rating data? Business credit rating data is a part of business information and company data and offers an assessment of a company’s financial solvency and creditworthiness. It provides a score ranging from 0 to 100, and a higher score indicates a better credit rating. This data helps companies evaluate potential B2B […]
Worried About iOS 14? Here’s How External Data Can Help You Prepare
Leave it to Apple to suddenly drop a tidbit of news that shook an entire industry. The company announced that it would be releasing a numbered update to its mobile iOS software — iOS 14 — which would add some quality-of-life fixes, along with some new and possibly revolutionary features. However, despite a redesigned home […]
How Explorium’s Automated Feature Engineering Improves Your Data Science
So, you’ve built a dataset you’re happy with, and your machine learning (ML) model ready to start making predictions left and right. Easy as pie, right? Well, it depends. Once you have a dataset that’s worth using to train your models, you need to build a feature set that will actually get you the predictions […]
4 Steps You Must Take to Prepare for Predictive Model Deployment
When Ford released the Edsel, its brand-new, mid-range model, in 1957, the company was confident it would blow the competition out of the water. After all, Ford had spent ten years and $250 million developing this car. They’d conducted extensive, exhaustive market research. The data they’d painstakingly accumulated suggested the Edsel would easily outperform sales […]
How Data Science Could Have Saved Dunder Mifflin’s Sales
For nine seasons of (now classic) television, The Office’s Dunder Mifflin Paper Company somehow managed to skate by in an industry that has been experiencing a long, slow decline as the world becomes more digital. In Scranton, where the show is based, regional manager Michael Scott somehow manages (despite his best efforts) to build a […]
Economic Data
What is economic data? Economic data measures the financial health or wellbeing of a country, specific regions, or individual markets. It is often presented in comparison with past measures. This data is used to power economic analysis and enrich other categories of financial data. Where does the data come from? The majority of the economic […]
Point of Interest Data
What is point of interest data? Point of interest (POI) data provides intelligence on real-world public places, such as retail stores, restaurants, parks, monuments, and other sites of convenience or tourist attractions. A POI location can be temporary, such as the location of a public event or a small shop. It can also be permanent, […]
Using Explorium’s Data Enrichment to Boost Basketball Ticket Sales
By now, we’re all getting used to the new (less than ideal) normal in sports — watching our favorite athletes play their games in empty arenas as the coronavirus pandemic continues. However, it’s not hard to think of a time in the recent past when we were lining up for tickets to our favorite arenas […]
Should You Be Using Traditional Credit Scores?
Credit scores have an enormous impact on people’s lives and opportunities. This makes it all the more worrying that the precise systems and methods used to calculate them are closely guarded secrets, known to just a handful of influential agencies. More concerning is that what we do know is that traditional credit scoring often gets […]
How To Optimize Your Ad Spend With Data Science
Online advertising has made marketing strategies transparent in ways that would have seemed unimaginable a few decades ago. Today, you have the tools available to trace just about any conversion or purchase back to the content that first caught the customer’s eye. You can track and measure the impact of every variation in messaging. You […]
How to Use Data to Position Your Company For Tomorrow
Money never sleeps, dataflows never slow, and a data leader’s job is never done. You aren’t just thinking about how to make sense of the data you already have, but also the data you need now, the data you may someday need — even the datasets that don’t yet exist, but that you’ll inevitably have […]
What Is Augmented Data Discovery with Explorium?
With so much data in your own stores, it’s tempting to think you have all you need to start producing great predictive insights. This might be true initially, but you’ll quickly run into one (or more) problems. The reason? Your internal data is only looking at your past performance, and not accounting for the broader […]
Top Tips for Data Preparation for Machine Learning Using Python
Your machine learning model is only as good as the data you feed into it. That makes data preparation for machine learning (or cleaning, wrangling, cleansing, pre-processing, or any other term you use for this stage) incredibly important to get right. It will likely take up a considerable chunk of your time and energy. Data […]
Could Machine Learning Help Tom Haverford Save Entertainment 720?
In the world of TV’s Parks and Recreation, few people are as concerned about their image and how they market themselves as Tom Haverford. The erstwhile entrepreneur loves to think up business ideas that range from the quirky (a submarine-themed club named “Club-a-Dub-Dub”) to the successful (tween clothes rental store “Rent-a-Swag”), to the plain bizarre […]
Turning Data from a Cost Center into an Asset
Many organizations see data acquisition and management as a business expense. You may hear questions like, what does it cost to collect and capture this data? What resources do we need to store it? Are analysis, modeling, and other data science projects a priority for us right now? Do we have the budget? It’s understandable […]