The Dataiku Blog

Lynn Heidmann

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Recent Posts

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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