The Dataiku Blog

Three Paths to Updating Your Data Technology

Data science departments often use older technologies that were in place when they launched. But the new data scientist generation is using newer technologies such as R, Python, etc. How can you...

data science, Technology, collaboration | March 30, 2016 | Romain

Automation Scenarios: Another Step Towards Successful Model Deployment

I - probably like many before me - like to think of data science (and more generally of big data) as a process of a final outcome: deployment into production. The thing is, putting a model to...

Production, Technology, Data Engineering | March 29, 2016 | Margot

Putting Data Science in Production: 9 Steps to Finding the Common Ground

To succeed in today's rapidly evolving data ecosystem, companies must continuously re-invent & deliver innovative data products.

Production, organization, Data Engineering | March 23, 2016 | Pauline Brown

6 Hints You Need to Improve Your Company’s Predictive Analytics Culture

You are in the middle of a data project. IT teams understand the technical implications of the project and business teams understand its value impact. Good. But are you sure your IT and Business...

business, collaboration, predictive analytics | March 13, 2016 | Romain Doutriaux

Analyzing the Irish Job Market with Dataiku DSS and

Getting value from your data is not a straightforward process. One of the secrets is to have a platform in place that allows you to quickly prototype data applications. In this two-part series we...

Data Preparation, data science, machine learning | March 09, 2016 | Thomas Thus

Why Data Visualization and Dashboards Matter

Data scientists spend days and days (if not weeks and weeks) cleaning and preparing data, building and training models, and eventually trying to come up with interesting insights or delivering...

Data Visualization, Visual Data Analysis, Data analysis | March 09, 2016 | Alivia Smith

Leverage Your Patient Data in 15 Minutes with Dataiku DSS

On February 29th, Eric Kramer (Data scientist at Dataiku) presented our thirteenth Free Training, "DSS Leverage your Patient Data in 15 minutes".

video, data science, machine learning | March 09, 2016 | Thomas Thus

13 Tips to Not Win a Data Hackathon, Every Time

Hackathons are the coolest. Where else do you get to thrive amongst your peers in an intensely competitive environment, where you can have fun, build a useful product, learn, meet people, and get...

Opinion, data science, fun | March 01, 2016 | Alivia Smith

Advice From John Kelly: Preparing for Data Science Adoption (Part II)

This is the second part of my interview with John Kelly where he explains the most common challenges in terms of organization and why big data investment has not yet impacted companies at scale. ...

Interview, Technology, business | February 25, 2016 | Caroline Martre

SQL, R, and Python: Why Data Wrangling in ONLY Code is Inefficient

So everyone knows the oh-so-popular statement that a data scientist spends 50 to 80% of his time cleaning and preparing his data before he even starts looking for insights in it. I mean everyone’s...

Opinion, Data Preparation, data science | February 24, 2016 | Alivia Smith

Advice from John Kelly: Preparing for Data Science Adoption

When building or growing data science teams, companies often face a noisy world. As I was trying to identify the group dynamic in terms of pains and challenges, I came across an article from John...

Interview, Technology, business | February 22, 2016 | Caroline Martre

15min to Understand How Predictive Analytics Could Save Healthcare

In this podcast, Intrepid Editor-in-Chief, Joe Lavelle interviews Eric Kramer, data scientist at Dataiku. In this 15min episode, Eric explains how predictive analytics could help healthcare...

healthcare, data science, predictive analytics | February 21, 2016 | Pauline Brown

Modern Data Science: Monogamy or Ménage à Trois?

What I call monogamy in a technological environment is to remain faithful to only one development language. So yes, I know you’re thinking coding and being married (or in a relationship) are two...

organization, Technology, business | February 12, 2016 | Lara Khanafer

Building a Data Pipeline to Clean Dirty Data

A data pipeline is a series of steps that your data moves through. The output of one step in the process becomes the input of the next. Data, typically raw data, goes in one side, goes through a...

Data Preparation, Technology, Data analysis | February 10, 2016 | Robert Kelley

Data Analysis Reveals the True Nature of Peer-Reviewed Journals

Pierre Bourdieu first made a very strong impression on me when I was just a college student. Not only did he have a funny-sounding name, at least to a French ear, but he was one of the most...

Data Visualization, data science, Data analysis | February 10, 2016 | Leo Dreyfus-Schmidt

Sky Diving… For The Second Time

Fifteen years ago, as part of the HEC Entrepreneurs Master’s integration program, I had my first skydiving experience. I remember a mix of fear and excitement, climaxing in total fear when, at...

Corporate, announcement | January 28, 2016 | Carole Offredo

Telling Stories With Data Visualization by Matt Daniels from Polygraph

Before I had ever even heard about Dataiku and started really working around data, I remember reading this awesome article around March 2015 on the ranking of hip hop artists based on their...

Interview, Data Visualization, Technology | January 27, 2016 | Alivia Smith

Merging Data Sources to Investigate Student Loan Debt

Many millennials in the United States are burdened with high student loan debt. Outstanding student loan debt in the United States was at a massive $1.19 trillion as of June 2015. 

Data Visualization, data science, machine learning | January 25, 2016 | Jed Dougherty

The Consequences Of The Data Revolution On Infrastructure Management

Today, a single innovation can put a market upside down in a couple of days. Most innovative products in the decade are data-driven and we are beginning to see the benefits of creating ‘data...

Product, Technology, business | January 19, 2016 | Joel Belafa

A User Marketer Asks: Why Is Nobody Talking About User Marketing?

Everyone in the startup universe knows that everything they do should be centered on the user. So why isn’t "user marketing" a thing yet? Is it because no one is doing it?

Users, Opinion, Corporate | January 19, 2016 | Alivia Smith
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