Explorium's Data Insights Blog

This is the third installment in a series of blog posts describing how Explorium can help businesses identify their ideal clients. In this post, we will look at scoring and exporting data so it can be used efficiently by a sales team.  In our previous posts (see here and here), we have seen how Mario […]

Knowing which businesses to target for their conversion potential means knowing whether and to what degree they meet your ICP – ideal customer profile. Some CPGs (consumer packaged goods corporations) may define their ICP loosely, by referring to a handful of characteristics they believe good potential customers need to have. Others may realize that the […]

A fundamental challenge CPGs (consumer packaged goods corporations) contend with is how to best identify relevant target businesses in their TAM (total addressable market)? Is it by extracting a list of target businesses from the in-house CRM system, buying a prospecting list, using lists from external data providers generated based on several parameters relevant to […]

Want to gain insights into the growth of various departments at multiple companies? The ENRICH_GROWTH formula in Google Sheets can help you quickly access quarter-over-quarter (QoQ) growth data. By using a company’s website URL as input, this formula allows you to retrieve data for departments such as Engineering, Design, Marketing, Sales, Customer Service, HR, Legal, […]

Are you tired of manually searching for company information online? Fear not, because we have a solution for you. In this post, we’ll introduce you to a powerful formula in Google Sheets that can enrich any company name with its firmographic data in just a few seconds. Using Explorium’s API, this formula allows you to […]

This is the second installment in a series of blog posts describing how Explorium helps businesses find their ideal clients. In the first post, we saw how entering basic search terms and modifiers produced a large and targeted set of potential customers. When we last left Mario and Luigi, the owners of SM Software, they […]

Developers often need to validate emails. This helps ensuring they are reliable and up-to-date. It also assists in determining if an email address is worth mailing. Regex validation is not enough, though. Regex will check the validity of the email format but not its real online presence. That’s why Explorium created a super simple API […]

In today’s ultra-competitive marketplace, companies are searching for ways to quickly grow their businesses. Many organizations adopt a data-driven approach that attempts to extract maximum value from their data resources. A problem they often face is obtaining viable external data that can be used productively to further business objectives. An illustrative example of Explorium’s power […]

“Data standardization” means different things in different branches of the machine learning and data engineering world. We define data standardization as the process of transforming different representations of the same data into a single representation.  For instance, let’s imagine a customer’s dataset about various companies, and the dataset includes information about which country each company […]

Apache Spark is a very popular engine for running complex distributed data pipelines. Sometimes when using Spark, we need to tune our logic in order to get the best performance. That process sometimes reveals Spark’s “inner workings.” At Explorium, we learned about Spark’s EXPAND command while investigating a query over 1 billion records that failed […]