The Dataiku Blog

Lynn Heidmann

Find me on:

Recent Posts

Top 4 Data Science Trends to Watch in 2018

As 2017 comes to a close, it’s time to look forward at what’s ahead in the wide world of data science. While last year was the year that the idea of deep learning really began to make its way into...

data science, deep learning, trends | December 07, 2017 | Lynn Heidmann

Black Friday Is Not Dead, but Retailers Might Want it to Be

As we launch into the holiday season, publications - Forbes, Business Insider, The Washington Post, just to name a few- are rife with claims that Black Friday is dead. While this claim is...

data science, machine learning, recommendation systems | November 21, 2017 | Lynn Heidmann

Small Step for Piccadilly Circus, Giant Leap for AI and Advertising

Today, Piccadilly Circus in London is alight once again, now equipped with so-called “super billboards,” bringing the advances of machine learning (ML) and artificial intelligence (AI) in...

business, machine learning, media | October 26, 2017 | Lynn Heidmann

Equifax: Wishing for GDPR, Now, Everywhere

For anyone affected by the Equifax data breach (which is to say most adult Americans), it’s been a long 10-ish days of following the latest news, waiting on customer service hold, website errors, ...

organization, business, data governance | September 20, 2017 | Lynn Heidmann

Some Recommendations on Recommendation Engines

Today, recommendation engines are ubiquitous. While some are easy to spot, featured in a nice neat “Recommended for You” section, so many more lurk behind the scenes. In fact, it’s entirely likely...

data science, machine learning, recommendation systems | September 18, 2017 | Lynn Heidmann

Dataiku Series B: Data Science for Everyone

Since the very beginning, part of the Dataiku mission has been to bring together the data community both within our product and out in the world. Today, we’re proud to announce a $28M Series B...

Corporate, business, announcement | September 06, 2017 | Lynn Heidmann

Big Data: Health Care’s Knight in Shining Armor?

For years, people have been talking about big data’s potential to change health care, particularly in the United States. But with days growing shorter again, the end of the year looms closer, and...

organization, healthcare, business | August 10, 2017 | Lynn Heidmann

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

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

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

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

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

How Cutting-Edge Media Organizations Leverage Advanced Analytics

When it comes to industries best poised for big changes with the big data wave, content providers - including all types of news media - have a lot to gain and a relatively straightforward path to...

marketing, business, media | June 02, 2017 | Lynn Heidmann

Incorporating Twitter (And Other Social) Data into Your Big Data Strategy

Data from social networks, particularly Twitter, Facebook, LinkedIn, Instagram, Foursquare, and Meetup, is a trove of valuable insight into the mentality, behaviors, and preferences of consumers....

Data Visualization, Data Preparation, Data analysis | May 22, 2017 | Lynn Heidmann

GDPR: Challenges and Strategies for Compliance

Chances are you’ve already seen quite a bit of buzz surrounding the EU General Data Protection Regulation (GDPR), especially given that we’re just about one year away from the enforcement date...

business, compliance, data governance | May 19, 2017 | Lynn Heidmann

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
Page 4 of 5