The Dataiku Blog

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...

data science, business, scale | April 21, 2017 | Lynn Heidmann

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...

Data Visualization, tutorial, Data analysis | April 19, 2017 | Lynn Heidmann

Why You Should Use Kafka Even Though You Might Not Need It (Yet)

You’ve probably heard quite a bit about Apache Kafka, the leading system for storing streaming data that LinkedIn open sourced back in 2011. Apache Kafka is an extremely powerful and scalable...

data science, predictive analytics, architecture | April 18, 2017 | Robert Kelley

Using US Census Data to Predict Housing Prices

The United States Census Bureau (USCB) has been surveying the U.S. population -- including its massive, decennial population census -- since 1903, and the sheer volume and quality of the data they...

Product, data science, plugins | April 10, 2017 | Nicolas Gakrelidz

Scale Your Data Science Projects with Dataiku and Microsoft HDInsight

We are pleased to announce that we have partnered with Microsoft to offer Dataiku as a third-party application on HDInsight, the managed Hadoop and Spark services running on top of the Azure cloud.

Partnership, announcement, hdinsight | April 05, 2017 | Thomas Cabrol

Introducing Dataiku 4.0.1 with the "Power" of Apache Slug

We are very pleased to announce that the latest version of Dataiku (4.0.1) now fully sports Apache Slug, giving users the capability to execute code in microbatches. Dataiku and Apache Slug...

Product, announcement, Apache Slug, April Fool Joke | April 01, 2017 | Alivia Smith

Introducing PolYamoR, the two-way translator between Python and R

Today, data science is the field of a Big War between Python and R.

data science, python, deep learning, April Fool Joke | April 01, 2017 | Florian Douetteau

Top Trends: Putting Data Science in Production Today

We wondered why some companies successfully implement machine learning models into their operational system, and others don't.

Production, Opinion, Data Engineering | March 31, 2017 | Alivia Smith

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...

data science, machine learning, predictive analytics | March 30, 2017 | Lynn Heidmann

Video: Collaboration with Dataiku

"Collaboration" is quite the buzzword these days, but at Dataiku, it's at the very foundation of our product. Projects in Dataiku are designed to support multiple users by default.  

Product, business, collaboration | March 27, 2017 | Robert Kelley

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...

organization, business, collaboration | March 23, 2017 | Lynn Heidmann

A Collaborative Approach to Building a Collaborative Product

Our recent version of Dataiku Data Science Studio (DSS) focuses on collaboration, and one of the new features is the completely revamped dashboards.

Users, Product, Corporate | March 22, 2017 | Pierre Cuni

Top Trends from Big Data World 2017

I've just come back from an awesome/exhausting two days at Big Data World 2017. It was a whirlwind of interesting talks with interesting people, new product discoveries, awesomely weird goodies,...

Opinion, business, Events | March 20, 2017 | Alivia Smith

4 Big Challenges for Retailers, Solved with Predictive Analytics

The retail industry has always been one that’s focused on the vast amount of data it collects, looking at past data and general averages across wide swaths of customers to estimate future...

business, predictive analytics, retail | March 16, 2017 | Romain Doutriaux

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.

marketing, business, churn | March 15, 2017 | Lynn Heidmann

An Introduction to Key Data Science Concepts

Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they...

data science, machine learning | March 09, 2017 | Robert Kelley

The Forrester Wave Names Dataiku a Strong Performer

We’re very pleased to continue the momentum and positive trajectory of 2017 and announce that we’ve been named a strong performer in “The Forrester Wave™: Predictive Analytics and Machine Learning...

Users, Corporate, announcement | March 07, 2017 | Carole Offredo
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