In the business of external data enrichment for data science, the main focus is on the ability to provide a fast and scalable way to aggregate, join and
As organizations move from data analytics to data science, their data needs evolve, too. Without data, there is no machine learning (ML). But we’re not talking
Here’s a question: does your organization have all the information it could ever need to succeed? I’ve yet to meet a business leader whose answer to
To decision-tree or not to decision-tree, that is the question. Or to cluster, for that matter. Or to linear regress. Classification is a key part of
Staying ahead of the curve in marketing becomes more challenging all the time. From perfectly tailored ads to personalized deals, customers have high expectations. Up-and-coming competitors
Any data-driven organization worth their salt today knows that it’s not just how much data you find but how relevant it is. Ten years ago, having
We all want our models to be as accurate as possible. While you can’t control every factor that interferes with accuracy, there are two types of
Machine learning (ML) and marketing operations go hand in hand. But are you confident you have all the data you need to support your marketing automation
You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it.
