Enterprises today collect more data than ever before, yet several studies and analysts (here’s just one example) since the advent and proliferation of big data have shown that businesses aren’t using it. In fact, the large...
When you walk around a city, you get a pretty good idea of how neighborhoods compare. You might start in a residential neighborhood and then walk to a busy area with lots of bars and restaurants before winding up in an office...
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![Want a Robust Model? Try These Validation Strategies [Infographic]](https://blog.dataiku.com/hubfs/Blog/dart_resized.jpg?t=1501083115679)
When evaluating machine learning models, the validation step helps you find the best parameters for your model while also preventing it from becoming overfitted. Two of the most popular strategies...
If you’ve spent any time in New York City in 2017, you know that the subway system is currently a hot mess - and I’m not talking just about its sweltering platforms. With more than 70,000 subway...
When it comes to being a data-driven company, it's usually not the data itself that's a problem - most enterprises have a wealth of it available. Instead, it's organization and being able to pull...
With many types of predictive analytics strategies, just making a prediction often isn’t enough (or it isn’t the end goal); value really comes in the decisions that follow that prediction. But...
In the rap world, it's common for an artist to drop a mix tape in between proper albums as a sort of appetizer for the main course. And some of these mix tapes wind up being really, really good....
So you’ve created a churn prediction model, and you know which customers are likely to leave you. Now it’s time to accept the facts: some churners are going to churn no matter what you do. What...
The enforcement period of the EU General Data Protection Regulation (GDPR) is less than a year away. Given the volume and complexity of big data in today’s enterprises, preparations should already...
There’s no question that Amazon has vaulted its way to the top of the retail world because, at its core, it’s not a retail business at all - it’s in the business of data.
Enterprises have a wealth of data at their fingertips and are eager to accelerate data innovation. But data governance can frequently stand in the way, posing issues that are both profound and...
We’ve spoken before about basic concepts in data science and machine learning algorithms, and so by this point, you might have already created a machine learning model. But now the question is:...
In today’s landscape, thanks partially to the changing sentiments from executives but also to the need to keep up with competition, everyone across an organization - no matter what team (s)he’s a...
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...
With data and analytics teams growing larger and working on more collaborative projects, security and governance are becoming bigger issues.
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Building a data science project and training a model is only the first step. Getting that model to run in the production environment is where companies often fail.
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....
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...
Many Dataiku customers use Vertica, the powerful SQL database management software, as the engine on which to run Dataiku. This makes sense, because not only is it easy to get started with Dataiku...
