Explorium's Data Insights Blog
Where data, marketing, and sales professionals come together
How to Navigate the New Data Science and Machine Learning Landscape
We’re living through unprecedented times. Until this moment, organizations were successfully using data science models, machine learning, and other types of AI across the funnel to gain visibility throughout their business and sharpen their competitive edge. Suddenly, many of these organizations find themselves stumped. Without warning, the data — and in many cases the models […]
The Three Skills You Need to Instill in Your Data Science Team
Data science and AI have enormous potential to make your organization run more efficiently and profitably. They can be used to optimize processes, identify emerging risk and fraud attempts, spot emerging commercial opportunities, and serve your customers better. You know that. Your team knows that. But does the rest of your organization know? Top data […]
How Dynamic Risk Modeling Gives Your Detection a Boost
It’s not an overstatement to say that detecting risk is a tough task, even with the best technology available. The changing face of fraud, supplier risks, cyber crimes, and a host of other factors risk leaders need to track means that the approach to detecting them must be equally multi-faceted. However, we seem to be […]
Why You Need Data Catalogs, Not Databases
Congratulations! You’ve embraced machine learning and data science and your organization is well on its way to building a system that helps you deploy predictive analytics for greater insights. You’ve already done a lot of the heavy lifting, from finding the right platforms and tools to help you build your models to understanding the steps […]
Where’s the ROI? Demonstrating the Value of Data
In today’s business world, data means a lot of things to a lot of people. It’s a means to an end, a treasure trove of insights, and even the currency of the future. What’s not always clear, at least to non-technical stakeholders in an organization, is why they should care about it. It’s something great […]
B2B Marketing Fit Data
What is B2B Marketing Fit data? B2B marketing fit data is a set of static data that helps organizations define if a contact or lead is a good fit in its total addressable market. It consists of demographic data of a contact such as job function, level, skills, and responsibilities. It also contains technographic data […]
Employment Data
What is employment data? Employment Data typically includes labor force statistics and employee information such as name, employer, position, address, number of hours, salary or payroll information, employment rates, and status. It also covers economic data, demographics, interview difficulty, benefits, interviews, number of published salaries, number of published job openings, and number of employees by […]
Could Walter White and Marty Byrde Fool The Best Risk Models?
Crime doesn’t pay — any TV cop will tell you that much. But, what about their counterparts — those slick TV criminals that, season after season, manage to elude the law with clever schemes, quicker wits, and just plain dumb luck? What about Walter White, the science teacher turned meth-making mastermind in Breaking Bad, who […]
Why Data Marketplaces Are the Future of the Data Economy
As you know, every second of every day, we’re generating and acquiring new data. As you read this, someone is collecting data on the fact that you are reading it. Someone is collecting data on your device type, your browsing habits, where you fit within a larger pattern. They’re predicting your interests, values, maybe even […]
Want to Get People Excited About Your Machine Learning Project? Tell Them a Story
In 2007, two roommates struggling to make rent in San Francisco had a bright idea. A major design conference was coming up and hotel prices were soaring. What if, the roommates thought, they rented out air mattresses on the floor of their apartment to cash-strapped attendees — a kind of designers’ (air)bed & breakfast? It […]
How to Connect to the Data Ecosystem
Pinpointing the most useful machine learning data and figuring out how to combine sources to create accurate, meaningful models is one of the most business-critical areas of data science. Increasingly, data scientists are realizing that the data they have in-house might not be extensive or complete enough to do that on their own. That solely […]
How Our COVID-19 Signals Give Businesses Better Decision-Making Capabilities
COVID-19 has hit almost every industry hard, and we’ve been left grasping at straws trying to make sense of our new reality. One of the biggest blows we’ve suffered is that our old data has become, to put it nicely, mostly useless. So what can we do, in this new landscape? The first step is […]
Data Bias and What it Means for Your Machine Learning Models
We’d all like to imagine that the machines, systems, and algorithms we create are objective and neutral, devoid of prejudice, free from pesky human weaknesses like bias, and the tendency to misinterpret a situation. However, this simply isn’t the case. Sure, an automated machine learning tool or data science platform won’t privilege certain types of […]
Tourism Data
What is tourism data? Tourism data provides comprehensive information about the travel and tourism industry, international tourism, and domestic tourism. It includes transaction-level information such as tourism expenditure on flights, car rentals, mode of transport, hotel stays, restaurant visits, and visits to attractions. It also include data on inbound tourism as well as outbound tourism. […]
Business Review and Rating Data
What is business review and rating data? Business review and rating data includes reviews and ratings about companies and the quality of their products or services. It may also include salary information and reviews from employees rating the companies as employers. This data provides feedback from customers and employees, offering insights into […]
Fraud Has a Bigger Impact in Crises – Can You Afford to Sleep on It?
In normal times, fraud is a problem — albeit one that has steadily grown over the past few years. It’s for good reason, too. Fraud is big business, no matter where in the world you operate. The FBI estimates that the cost of insurance fraud (not counting health insurance) is roughly $40 billion a year […]
How Data and Analytics Leaders Can Avoid Roadblocks to Data Acquisition
In times of crisis, organizations look for things to hold on to that give them a sense of certainty. After all, uncertain times mean tough going for business as usual, and also mean that you’re likely navigating in unknown waters. One of the first places an organization will turn to for answers is its data, […]
4 Practical Ways Marketers Benefit From Data Science-as-a-Service
COVID-19 has been a system shock to marketers everywhere. Organizations have had to ditch their existing plans as they find that they’re no longer relevant, and businesses must change the way they operate. In situations like this, it can be easy to get bogged down by tools claiming to save your efforts with all buzzwords […]
