In the past few years, data science has benefited from tremendous new capabilities driven by cloud analytics platforms, artificial intelligence and machine learning, improvements in integration...
The setup: using location data to segment regions At Precisely we build location analytics products based on data from hundreds of millions of devices across the US. Intuitively, we know there is...
We live in a data-driven landscape where huge amounts of data are being produced every day. The complexity of managing and using that data are critical, yet most organizations don’t have the time,...
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...
