Business users agree that their first-party data is one of their most valuable assets, but one that is limited without third-party data enrichment. Advanced analytics make it possible for business...

Big data has helped us in solving some very sophisticated engineering problems. But in turn, as those who work with complex data know, it also creates architectural challenges. At PlaceIQ, it’s...

While leading companies are using data enrichment to engage customers in a more meaningful way, virtually everyone has had a frustrating experience with a customer service department at a large...

Whether you’re a data scientist, machine learning engineer, or software engineer working in Spark, knowing the basics of application profiling is a must. But profiling Spark applications is...

Data enrichment is about seeing the world in a more nuanced way and adding context to existing business data.  The results can help leaders to identify patterns that reveal buyer behavior, discover...

I’m often brought the challenge of how to optimize our data to address real world problems for our clients. In this blog post, I describe my approach to a data science problem at PlaceIQ in which I...

Between 2018 and 2021, 150 countries and territories around the world are scheduled to conduct a census.  For data users everywhere, this means an influx of new statistics to ingest into analytics...

Big data and its corollaries – artificial intelligence (AI) and machine learning – are having a transformative effect on virtually every industry. As the volume of data collected by businesses,...

I have your attention now, don’t I? No, this isn’t where I stop talking about craft beer. It is in fact when I start talking about the importance of location data to the craft beer...