When it comes to industries best poised for big changes with the big data wave, content providers - including all types of news media - have a lot to gain and a relatively straightforward path to...
Recent Posts
Incorporating Twitter (And Other Social) Data into Your Big Data Strategy
Data from social networks, particularly Twitter, Facebook, LinkedIn, Instagram, Foursquare, and Meetup, is a trove of valuable insight into the mentality, behaviors, and preferences of consumers....
GDPR: Challenges and Strategies for Compliance
Chances are you’ve already seen quite a bit of buzz surrounding the EU General Data Protection Regulation (GDPR), especially given that we’re just about one year away from the enforcement date...
The Evolution of the Dataiku Learn Portal
In many ways, companies today approach their product help sections the same way they approach data strategy: we’ll just stick it over here in this place, we’ll keep adding lots of stuff to it, and...
Data Science Tools: What and Why?
Most companies wouldn’t consider running their business without providing a customer relationship manager (CRM) for their sales and support teams, a recruiting tool for human resources teams, or a...
How To Become A Large-Scale Data Innovator
Today, almost all companies in a wide range of industries call themselves data driven. After all, not being data driven in this day and age is hardly an option - those that don’t embrace it are...
Finding the Best Airbnb in Paris (With Data Science!)
At Dataiku, we’re passionate about using data science to solve real-world problems. And what’s more real than the question of which Airbnb to rent for your next vacation? In this guest post, one...
Guest Post: Predicting Connections to ISIS Based on Tweet Content
One very important use case for predictive analytics and machine learning is security, both in the virtual and in the physical sense. Every day, organizations across the world are analyzing...
The Evolution of a Productive Data Team
Today’s data teams are becoming central to the strategy and direction of businesses around the world. But successful data teams don’t just happen overnight - the require plenty of nurturing and...
5 Barriers to Churn Prediction and How to Address Them
Given that it costs five to 10 times more to acquire a new customer than to retain an existing one, it seems obvious that all businesses should be engaged in some level of churn prevention.
Predict (and Prevent) Customer Churn
It’s pretty simple: churn happens when your customers are customers no longer. For any business (even those gaining customers quickly), this can be a devastating problem; but fortunately...
Marketing Analytics for a New Era
Today, the effectiveness of traditional marketing segmentation is limited by its reliance on fixed methodologies. Marketing teams that move to model-based segmentation, on the other hand, can...
Thomson Reuters Labs on Collaboration in Data Science
VP of Thomson Reuters Labs talks data with us: innovation and how to empower data science teams (hint: it’s all about collaboration!)
