The Dataiku Blog

Lynn Heidmann

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Recent Posts

The Evolution of the Dataiku Learn Portal

In many ways, companies today approach their product help sections the same way they approach data strategy: we’ll just stick it over here in this place, we’ll keep adding lots of stuff to it, and...

Product, Corporate, announcement | April 27, 2017 | Lynn Heidmann

Data Science Tools: What and Why?

Most companies wouldn’t consider running their business without providing a customer relationship manager (CRM) for their sales and support teams, a recruiting tool for human resources teams, or a...

organization, business, collaboration | April 26, 2017 | Lynn Heidmann

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

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

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

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

Predict (and Prevent) Customer Churn

It’s pretty simple: churn happens when your customers are customers no longer. For any business (even those gaining customers quickly), this can be a devastating problem; but fortunately...

data science, machine learning, churn | March 01, 2017 | Lynn Heidmann

Marketing Analytics for a New Era

Today, the effectiveness of traditional marketing segmentation is limited by its reliance on fixed methodologies. Marketing teams that move to model-based segmentation, on the other hand, can...

marketing, segmentation, business | February 01, 2017 | Lynn Heidmann

Thomson Reuters Labs on Collaboration in Data Science

VP of Thomson Reuters Labs talks data with us: innovation and how to empower data science teams (hint: it’s all about collaboration!)

Partnership, business, collaboration | January 05, 2017 | Lynn Heidmann
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