Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams. Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

MARCH 18, 2020

It seems as if the experimental AI projects of 2019 have borne fruit. The bad news is that AI adopters—much like organizations everywhere—seem to treat data governance as an additive rather than an essential ingredient. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

Domino Data Lab

MAY 8, 2019

In contrast, some researchers who are exploring the definitions, possibilities, and limitations of model interpretation point toward more comprehensive views. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. . Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. The biggest time sink is often around data collection, labeling and cleaning.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

JULY 18, 2011

Most email programs now have preview panes that typically block images and scripts (Outlook, Thunderbird, Gmail, everyone), and default settings prevent data collection due to concerns about viruses. This should drive aggressive experimentation of email content / offers / targeting / every facet by your team. That is okay.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

MAY 27, 2015

It is an investment in numerous report writers or data (puking) automation or hiring a small army in India or Philippines to do that, before investing in any smart Analyst. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Please don't have a data-first strategy.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Likely not. Omniture cannot save you. Only you can save yourself.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

OCTOBER 19, 2010

An expansive view of what it means to use data online, both from the type of data perspective and the kind of desired impact perspective. Given the definition above, I am a firm believer in Multiplicity. Move from a data collection obsession and develop a crush on data analysys. Second Bit Of Context.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. Regardless… this is a subject I'd covered in detail recently: EU Cookie / Privacy Laws: Implications On Data Collection And Analysis. What's possible to measure.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

JANUARY 7, 2014

Before we go too deep, let's get a couple of definitions right first. Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) You have a passion for data and information that allows for laser focused strategies and decisions to be made. Most companies hire a Web Analyst, Sr.

Data-driven 140

Data-driven Consulting Reporting Marketing 140