The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

Occam's Razor

NOVEMBER 12, 2006

Mostly because short term goals drive a lot of what we do and if you are selling something on your website then it only seems to make logical sense that we measure conversion rate and get it up as high as we can as fast as we can. So measure Bounce Rate of your website. Is Real Conversion Rate metric a good one?

Measurement 99

Measurement Analytics Optimization Marketing 99

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. What are you measuring?

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

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

OCTOBER 21, 2013

You can read this post to learn how these tools collect data: The Definitive Guide To (8) Competitive Intelligence Data Sources. And of course our Acquisition, Behavior, Outcome metrics. Controlled experimentation. Measure the impact (remember you can measure at a Search Engine and Organic/Paid level).

Optimization 154

Optimization Reporting Experimentation Metrics 154

O'Reilly on Data

OCTOBER 13, 2020

This distinction assumes a slightly different definition of debugging than is often used in software development. Ideally, AI PMs would steer development teams to incorporate I/O validation into the initial build of the production system, along with the instrumentation needed to monitor model accuracy and other technical performance metrics.

Management 244

Management Metrics Machine Learning Modeling 244

Occam's Razor

JULY 18, 2011

You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! You must use metrics that are unique to the medium. Ready for the best email marketing campaign metrics? So for our email campaign analysis let’s look at metrics using that framework.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. But first, we will start with a basic definition and some tips on creating these kinds of reports. Structure your metrics. That way you can choose the best possible metrics for your case.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Be it for in vogue metrics like Conversion Rates or for metrics that should be in vogue like Abandonment Rates.

Management 68

Management Experimentation Testing Strategy 68

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

In this post, we discuss three types of uncertainty: Statistical uncertainty : the gap between the estimand , the unobserved property of the population we wish to measure, and an estimate of it from observed data. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). In 480 pages the book goes from from beginner's basics to a advanced analytics concepts. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. DataOps requires that teams measure their analytic processes in order to see how they are improving over time. A complete DataOps program will have a unified, system-wide view of process metrics using a common data store.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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. These measurement-obsessed companies have an advantage when it comes to AI. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. The qualitative surveys measuring unhappiness went down even more than before. Metrics matter. You are what you measure.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Corinium

APRIL 25, 2019

Yes, definitely! For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Governance 101.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant. The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. In statistics, such segments are often called “blocks” or “strata”.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

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. There’s no one-size-fits-all definition of what’s required across all verticals. measure the subjects’ ability to trust the models’ results.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

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 12, 2013

In a recent post, Multi-Channel Attribution: Definitions, Models and a Reality Check , I outlined three distinct attribution challenges. I strongly encourage you to read the post and deeply understand all three and what your marketing and measurement possibilities and limitations are. . ~ Multi-Channel Attribution Analysis. ~

Modeling 161

Modeling Optimization Marketing Interactive 161

Occam's Razor

AUGUST 13, 2012

Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. What's possible to measure. What's not possible to measure. Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Additionally, it is exceptionally difficult to measure available demand because 1. Please see the advice above.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

By definition, it is hard to disentangle causes and effects in these settings because it is rarely possible to isolate all relevant factors. It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

Occam's Razor

OCTOBER 19, 2010

Given the definition above, I am a firm believer in Multiplicity. You'll measure Task Completion Rate in 4Q (below). You'll measure Share of Search using Insights for Search (below). Only a plea to obsessively obsess about measuring outcomes and compute economic value, not just revenue. Second Bit Of Context.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

MAY 27, 2015

In large measure that is because of the rise of programmatic buying. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Definitely buy my data books! :). Bonus: Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to! < RM+RP+RT is finally possible.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JANUARY 7, 2014

The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. Before we go too deep, let's get a couple of definitions right first. More on the Digital Marketing & Measurement Model, DMMM, in #2 below.). Pick hard metrics to designate as your key performance indicators.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. For the rest of this post, I'm going to use the first three to capture the essence of social engagement and brand impact, and one to measure impact on the business. It is not that hard.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. In a long-term sense, definitely not. Some of these have up to 66 million views.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190