The Dataiku Blog

Want a Robust Model? Try These Validation Strategies [Infographic]

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...

Data Science Basics, machine learning, Data analysis | July 12, 2017 | Robert Kelley

Dear MTA: Stop the Subway Debacle. Start Predictive Maintenance.

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...

data science, predictive analytics, predictive maintenance | July 11, 2017 | Pauline Brown

Q&A with Dataiku CEO Florian Douetteau on Data Governance and Machine Learning

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...

marketing, business, collaboration | July 10, 2017 | Lynn Heidmann

To Predictive Maintenance and Beyond with Second-Order Analytics

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...

data science, machine learning, second-order analytics | July 06, 2017 | Lynn Heidmann

Dataiku 4.0.5 Is the Between-Album Single You've Been Waiting For

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....

Product, Corporate, release | June 30, 2017 | Robert Kelley

Some Churners Gonna Churn (Churn, Churn, Churn, Churn)

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...

marketing, business, churn | June 28, 2017 | Lynn Heidmann

Practical Steps to GDPR Compliance: Map, Then Tackle

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...

organization, business, data governance | June 26, 2017 | Lynn Heidmann

Big Data is the Big News in Amazon + Whole Foods Deal

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.

business, Data analysis, retail | June 23, 2017 | Lynn Heidmann

Data Governance, Machine Learning, and the Future of Business Intelligence: 5 Questions to Matt Carroll

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...

marketing, business, collaboration | June 20, 2017 | Pauline Brown

How to Figure Out if Your Model Sucks

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:...

Data Science Basics, machine learning, Infographic | June 15, 2017 | Robert Kelley

3 Concrete Ways to Remove Barriers and Unlock a Company-Wide Data Culture

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...

marketing, business, collaboration | June 13, 2017 | Lynn Heidmann

How Cutting-Edge Media Organizations Leverage Advanced Analytics

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...

marketing, business, media | June 02, 2017 | Lynn Heidmann

Hadoop Security Basics (In Under 5 Minutes)

With data and analytics teams growing larger and working on more collaborative projects, security and governance are becoming bigger issues. 

Hadoop, Technology, Data Engineering | May 25, 2017 | Robert Kelley

Your Checklist to Get Data Science Implemented in Production

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.

Production, Data Engineering, Infographic | May 23, 2017 | Alivia Smith

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....

Data Visualization, Data Preparation, Data analysis | May 22, 2017 | Lynn Heidmann

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...

business, compliance, data governance | May 19, 2017 | Lynn Heidmann

Doing Data Science with Dataiku and Vertica

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...

data science, SQL, Vertica | May 10, 2017 | Robert Kelley
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