The Dataiku Blog

Lynn Heidmann

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Recent Posts

How to Calculate ROI for Your Investment in Data

When it comes to calculating return on investment (ROI), it always seems to be easier said than done - especially so when it comes to measuring ROI for data initiatives. Businesses invest in data...

business, organization, roi | April 18, 2018 | Lynn Heidmann

Marketing Attribution - There's a Better Way!

Bad news: if you’re relying on heuristic marketing attribution models to measure the effectiveness of your campaigns (which many people do), they probably are not very accurate. This is assuming...

data science, marketing, marketing attribution | April 12, 2018 | Lynn Heidmann

Content Analytics at Spotify: Hear the Talk from EGG2017

Content data and analytics in the context of music, media, and entertainment is driving a new wave of strategic thinking, shifting the focus from the product to the content delivered. Watch Daniel...

organization, scale, data science | April 11, 2018 | Lynn Heidmann

ezGDPR: Compliance Made Simple With the Latest from Dataiku

Hot on the heels of the Dataiku version 4.2 announcement, and with plenty of time before the EU General Data Protection Regulation (GDPR) implementation deadline of May 25, 2018, we’re proud to...

April Fool Joke, data governance, Data Engineering | April 01, 2018 | Lynn Heidmann

Scaling Data Science at Pfizer: Chris Kakkanatt, EGG Guest Speaker

One of the biggest challenges large enterprises face today is how to scale data science efforts such that the business actually gets an exponential amount of value from the exponential quantity of...

organization, scale, data science | March 20, 2018 | Lynn Heidmann

The BI to AI Shift Has Happened: How to Catch Up (+ Why it Matters)

It’s something that’s been happening slowly over time, yet also (somehow) conversation around it seemed to change suddenly overnight: business intelligence (BI), which was once the sign of a...

artificial intelligence, business intelligence, data science | March 09, 2018 | Lynn Heidmann

Inspiration from Ladies in Data for International Women’s Day

To celebrate International Women’s Day, we brought together just a few of the fierce females here at Dataiku to talk about our role in the world of tech, and more specifically, what we bring to...

Corporate, Interview, data science | March 08, 2018 | Lynn Heidmann

Behind the Scenes: Interview with Data Scientist Matthieu Scordia

If you've ever wondered what a day in the life, or the mind, of a data scientist is like, you're in luck; Data Science Weekly did an interview with one of our data scientists, covering everything...

data science, dataiku, Interview | March 07, 2018 | Lynn Heidmann

Top 3 Reasons Supply Chain is a (Relatively) Easy AI Win

In January 2018, Business Insider found that 42 percent of organizations surveyed identified supply chain and operations as driving revenue from AI capabilities today. Early adopters are...

ai, machine learning, supply chain | February 27, 2018 | Lynn Heidmann

Dataiku Named a “Visionary” for 2nd Consecutive Year in Gartner Magic Quadrant for Data Science and Machine-Learning Platforms

Gartner has released its 2018 Magic Quadrant for Data Science and Machine-Learning Platforms, and we’re excited to have been named a “Visionary” for the second consecutive year! 

Corporate, announcement, dataiku | February 23, 2018 | Lynn Heidmann

Bringing Enterprise AI Into Focus

It’s been nearly six months since our last update on what’s been going here at Dataiku (time flies!). Since our Series B announcement, we’ve been busy not only serving the larger data community as...

Corporate, announcement, dataiku | February 14, 2018 | Lynn Heidmann

From Inception to End-Consumer, AI Poised to Change Automotive

When most people think artificial intelligence (AI) and automotive, they think of connected cars and the potential they have to change our world as consumers. But the opportunities for advanced...

data science, artificial intelligence, automotive | February 09, 2018 | Lynn Heidmann

Let’s Talk Real Weather Prediction on Groundhog Day

Since circa 1887, our friend Punxsutawney Phil has been gracing us with his presence on February 2. Luckily for us, the Washington Post already a cool analysis in 2015 and Jeremy Neiman did...

data science, Data Visualization, deep learning | February 02, 2018 | Lynn Heidmann

A Beer Recommendation Engine Project for Your Super Bowl Sunday

The Super Bowl is upon us again, and that means excitement about, in order of importance: advertisements, beer, Justin Timberlake, snacks as a meal, and football. Since ads have already been leaked

data science, recommendation systems, deep learning | February 01, 2018 | Lynn Heidmann

Public Sector, Nonprofits Have Lots to Gain with ML & AI

When it comes to machine learning (ML) and artificial intelligence (AI) opportunity, many people immediately think of sleek Silicon Valley companies inventing the latest gadgets that will,...

data science, machine learning, case study | January 31, 2018 | Lynn Heidmann

Why Anomaly Detection Matters to (Almost) Everyone

Across industries, technologies, and use cases worldwide, there is perhaps no other data science strategy more important to understand and to leverage than anomaly detection. While useful across...

anomaly detection, data science, machine learning | January 18, 2018 | Lynn Heidmann

Everything You Wanted to Know About Dataiku Tech & Implementation (But Were Afraid to Ask)

Got questions about implementing Dataiku or the technology behind it? Clément Stenac, co-founder and CTO here at Dataiku, has answers.

Corporate, Interview, dataiku | January 09, 2018 | Lynn Heidmann

Data Prep, Tools, and Teams: What it Takes to Create Data Value

Today’s companies don’t have a data problem - they have a data value problem. We talked about this a lot in 2017 (here’s just one example), but alas, it’s still a major challenge that many...

business, organization, collaboration | January 05, 2018 | Lynn Heidmann

Data Resolutions for a New Year

With the holiday jams blasting, eggnog a-flowin’, and twinkly lights abound, it’s hard not to get into the spirit of the season. All the excitement has us a bit nostalgic, looking back on the year...

business, organization, new year's | December 14, 2017 | Lynn Heidmann

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