O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. The only requirement is that your mental model (and indeed, company culture) should be solidly rooted in permission marketing. Embrace permission marketing and email will be a surprising and loyal BFF. Every fiber of your being. Bonus, from Yahoo!

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

MAY 27, 2015

It saddens me deeply that they are not being able to take full advantage of all the new product, marketing, customer relationship opportunities in front of them. I love the shift to intent-based targeting (I cannot stress how massively important to the future of advertising and marketing). RM+RP+RT is finally possible. Fewer guesses.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). The book is for CEO's and Marketer's and Search Specialists and Web Designers and User Researchers and Website Administrators and Website Owners and HiPPO's and of course Web Analysts. It is a book about Web Analytics 2.0. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60

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. Without large amounts of labeled training data solving most AI problems is not possible.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

DECEMBER 12, 2016

You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. Digital Marketing & Measurement Model. You plus Marketing Team.]. All that is great.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

SEPTEMBER 15, 2014

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies.

Metrics 141

Metrics Reporting Analytics Marketing 141

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. measure the subjects’ ability to trust the models’ results. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). It has simply not had a break to catch a breath and mature. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

AUGUST 13, 2012

A couple weeks back I'd requested the nice folks following me on Google+ and Facebook to submit their most important digital marketing and analytics questions. The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Cloudera

JUNE 6, 2019

At the other end of the spectrum, the admin may instantiate a number of low-priority dev clusters – these clusters may often run at capacity, not require performance guarantees, but also provide more agility and flexibility for experimentation. Cloudera Manager 6.2 Mixed Environments. Learn more about Cloudera’s platform here.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Occam's Razor

OCTOBER 19, 2010

Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. None of these tools vendors have any relationship with Market Motive either. Move from a data collection obsession and develop a crush on data analysys. Besides that to me SEO is an important part of marketing.

Analytics 135

Analytics Testing Measurement Optimization 135

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

JANUARY 7, 2014

4: The Analytics/Marketing skills in your Analysis Ninjas is 70/30. #3. The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. Digital Analyst, Web Analysis Guru, Digital Marketing Analyst, so on and so forth. They incentivize optimal Ninja behavior vs. useless data regurgitation.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. In the last couple months I've spent a lot of time with senior level marketers on three different continents. Some absolutely did not use data to do their digital jobs.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. None focusses on digital marketing or analytics.

Marketing 136

Marketing Analytics Machine Learning Strategy 136