Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. This article is a short summary of my understanding of the definition of data science in 2018. It’s not all about machine learning. In a recent article , Hernán et al.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Business Over Broadway

MAY 22, 2019

For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Occam's Razor

JULY 24, 2018

To name a few: Digital Marketing & Measurement Model | Analytics Ecosystem | Web Analytics 2.0. In all, the Impact Matrix contains 46 of the most commonly used business metrics – with an emphasis on sales and marketing. Ignore the metrics produced as an experimental exercise nine months ago.

Analytics 93

Analytics Metrics Strategy Measurement 93

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Still, I’m heartbroken that some the simplest elements of ecommerce stink so much. youarekillingme.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

MAY 8, 2019

2018-06-21). They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Use of influence functions goes back to the 1970s in robust statistics. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105