The Data People

How a configuration-based, no-code approach enabled Data Engineers to deploy pipelines faster and focus on data quality. What is a Data Enrichment Pipeline? Data enrichment is a process where data is enhanced and refined to increase its utility and value for business decision-making. This process typically involves merging external data from various sources with the […]

Junior data analysts know that exploratory data analysis is an important first step towards answering the question “What do we have here?” With a bit of experience, they understand that the real significance is its ability to shine a light towards a deeper question: “What else do we need to look for?” Mor NitzanTeam Lead, […]

Sometimes, interviewing a data scientist is a lot like being a data scientist. Whichever side of the conversation you’re on, you’re trying to detect and isolate the signal that can lead you to the insight.  Zohar VittenbergChief of StaffExplorium Learning that Zohar Vittenberg, Explorium’s Chief of Staff, studied theater in high school is the sort […]

When it comes to data science, machine learning, and artificial intelligence, the consensus is that good data is essential. When it comes to training models, you commonly hear “garbage in, garbage out”. This means that a model will only be as good as the data you feed it with, therefore, data quality is important. Read […]

2020’s been a crazy year, but even with (or, should we say, because of) all the insanity, data science has had a whirlwind 12 months. The COVID-19 pandemic brought the field into the spotlight as the world attempted to grapple with and understand what was going on and how to quantify it. More importantly, data […]

2020 felt like a rollercoaster at the best of times and a highway with no exits at others. However, it’s no secret (or surprise) that the massive uncertainty created by the year’s events led to a need to understand the landscape better. From COVID-19 to natural disasters to a ferociously fought US election, 2020 was […]