The Dataiku Blog

Deployment to Production is Organizational (not Just Technical)

We recently shared how we at Dataiku approach and facilitate data analytics in production, and we have one more angle to take on it: the human angle.

Production, data science, architecture | August 07, 2017 | Robert Kelley

How to Choose Your First Data Project - 5 Considerations

You’ve heard about systems of intelligence, your're collecting lots of data, and you’re ready to start getting value from it. You’re well versed in the seven steps to complete a data project. The...

organization, business, collaboration | August 03, 2017 | Lynn Heidmann

How to Become the Analyst of the Future: Choose Your Own Adventure

For business and data analysts, tools and goals have been shifting rapidly for a few years now. An explosion in data means keeping up with a steep learning curve, and increased competition means...

Data Science Basics, Data Preparation, Data analysis | August 01, 2017 | Robert Kelley

Systems of Intelligence: A Strategic New Line of Defense for the Enterprise

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...

organization, business, strategy | July 25, 2017 | Lynn Heidmann

Production is Where Your Analytics is Really the Star

Imagine if you and your team spent months putting together a powerful analytics or data science model with great insights, but nobody ever used the dashboards or automated decisions with it. It...

Production, data science, IT | July 24, 2017 | Robert Kelley

Get to Know NYC and Paris from the Point of View of an Algorithm

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...

Data Visualization, Product, clustering | July 17, 2017 | Robert Kelley

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
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