Imagine waking up one morning with the dream of creating a big data startup. It's easy!
Great Time at Dataiku User Group (DUG) #3
On April 22, we hosted the third Dataiku User Group (DUG) in Paris! A few words and pictures about the event.
![New Series: How to Develop Indicators Using Healthcare Data? [Video]](http://blog.dataiku.com/hubfs/Blog/healthcare-data.jpg?t=1498239840812)
New Series: How to Develop Indicators Using Healthcare Data? [Video]
In the following video series, Kurt Muehmel (Business Engineer at Dataiku) explains how to use Data Science Studio to develop indicators when working with healthcare spending data.
How To Expand Your Business Internationally When You're A French Start-Up
Florian Douetteau (Dataiku’s CEO and Co-Founder) recently set foot in New York City to start planning Dataiku’s next challenge: creating the company’s first US entity in the Big Apple.
Partnerships: A Key Pillar of Dataiku's Growth Strategy
How does Dataiku's partnership strategy fit into the company's growth strategy as a whole? In this article, we describe how important partnerships are to us.
![3 Steps to Predicting Revenue from Raw CRM Data [Free Training]](http://blog.dataiku.com/hubfs/Blog/dss_ss%202.png?t=1498239840812)
3 Steps to Predicting Revenue from Raw CRM Data [Free Training]
For Dataiku's First Free Training, Kurt Muehmel, business engineer by day, data enthusiast by night, showed attendees how businesses are using Dataiku Data Science Studio (DSS) to predict future...
How IT Security Experts and Data Science Studio Work Together
How does ITrust use Dataiku’s Data Science Studio (DSS) on a daily basis? In this blog post, you'll find my interview of Sebastien AUCOUTURIER, ITrust's R&D Manager, in which he explains how he...
Working With Dataiku Data Science Studio in a Data Science Challenge
Are you interested in participating in a data challenge? Find out how Dataiku Data Science Studio can help you with this example from the AXA and datascience.net's latest challenge.
Preparing Data in DSS - by Affini-Tech
This is a translation of a blog post originally written on the Affini-Tech blog by a Big Data expert. You can find out more about Affini-Tech here.
A Dataiku Web App with Twitter and Public Transportation
Public transportation and Twitter: what type of relationship? A brief investigation powered by a Dataiku Data Science Studio (DSS) web app.
Using Dataiku to Teach the Basics of Data Science
A few months ago, Benjamin Thomas, an Innovation Consultant at Wax Interactive and a marketing professor, decided to introduce the concepts of data preparation and data science to his students....
Photoshop for Data Science... What Does That Even Mean?
Dataiku has gotten quite a bit of press recently, including an interesting article entitled The Photoshop for Data Scientists. This blog post is an explanation of why we believe this metaphor...
Some Feedback on Strata + Hadoop World New York
We were a proud Sponsor of the Strata Hadoop World Conference 2014 in the beautiful city of Manhattan, NYC.
Working with External Data and APIs in Data Science Studio
The Data Science Studio makes it possible to create an end-to-end analytical workflow using APIs and services from different providers.
Dataiku "Shiso" Release and Community Edition
We are very proud to announce today the release of Dataiku Data Science Studio (DSS) V 1.2, codenamed Shiso. With this release, we now offer a free version: Data Science Studio Community Edition !
Join Datasets with Approximate String Matching: Movie Titles
When working with text values provided by real users, you must deal with various approximations or typing errors. Let's have a look at how Data Science Studio makes dealing with a list of...
How do Social Media Publishing Optimization Tools Work ?
Marketers and community managers who work with social networks are often tempted to use social publishing optimization tools. Yet, the recipe behind such tools is often obscure for non-data...
Easy Text Clustering
Working on text-based datasets is a different world to dealing with numbers. Comparisons between words are much harder and it may be difficult to group or aggregate similar values. Let's find out...
When is ‘Big Data’ Really ‘Big’?
As I’m involved in the startup ecosystem, I meet a lot of startups who work with data. Every week, people ask me the same question: “Is the volume of data I’m dealing with big enough to be called...
