Occam's Razor

AUGUST 13, 2012

That means: All of these metrics are off. There are 19,276 books on org design on Amazon right now, so you can imagine how difficult it is to answer your question in just a few words. This is not a pitch but if you are interested my book Web Analytics 2.0, But how can I see which pages merely assist conversions? Hopefully soon!

Modeling 125

Modeling Metrics Data Quality Data-driven 125

Occam's Razor

NOVEMBER 5, 2007

Every solid web decision making program (call it Web Analytics or Web Metrics or Web Insights or Customer Intelligence or whatever) in a company will need to solve for the Five Pillars: ClickStream, Multiple Outcomes, Experimentation & Testing, Voice of Customer and Competitive Intelligence. No one wants to look bad by comparison!

Analytics 98

Analytics Experimentation Metrics Measurement 98

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. a book) into a list of discrete elements of language (e.g., and 2.6) [ in the book]. Introduction. Tokenization.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. As an example, I’ll present a case from The Book of Why by Judea Pearl. If you don’t have the time to read “The Book of Why,’” you can refer to Towards Data Science.

Testing 104

Testing Data-driven Risk Statistics 104

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Damini, Chirag and now the book! :). Part One: The book (my side of the story, details).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

DECEMBER 9, 2009

This is a topic I cover in my new book, Web Analytics 2.0. I share in the book that the best model in the universe for an analytics team is a hybrid, something I call Centralized Decentralization. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.

Analytics 95

Analytics Data-driven Marketing Sales 95

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 Metrics 68

Occam's Razor

AUGUST 23, 2010

Why comes from lab usability studies , website surveys , "follow me home" exercises, experimentation & testing , and other such delightful endeavors. then you'll also find an "extended edition" on the CD that is attached to the back cover of the book.]. It is simple, effective and quite expansive.

Analytics 116

Analytics Cost-Benefit Testing Optimization 116

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #3: Making vanity metrics your main event. When the primary focus becomes likes, retweets, follows, and comments — also known as vanity metrics — marketing efforts become less meaningful for your long-term goals.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Occam's Razor

JULY 1, 2008

A quick "hidden page", a small chq to Mongoose Metrics , add campaigns tags, and now every time someone calls that number it pings your site, the phone call data shows up in your web analytics tool. Take that as your inspiration (not the failure of Border Bell part, the controlled experimentation part). Nice ain't it?

Analytics 116

Analytics Measurement Marketing Sales 116

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 364

Marketing Experimentation Metrics Testing 364

FineReport

APRIL 24, 2024

Data visualization sample by FineReport Book A Demo Learn Data Visualization Techniques Bar Chart Design Principles When it comes to data visualization , bar charts are a fundamental tool for representing data in a clear and concise manner.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Choosing the tuning parameters for data-adaptive methods such as regression trees and MARS is the subject of a large number of research articles and books.

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. look at that person, give them a hug, then mark them in your book as enemy using red ink. Use blue ink. : ).

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? It could also make a few more dollars constantly pimping my two books in posts. Fill it with the best web metrics to measure success.

Marketing 142

Marketing B2B Measurement Risk 142

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. There are fat books to teach you how to experiment ( or die! What does a robust experimentation program contain? It truly is the bee's knees.

Experimentation 103

Experimentation Testing Optimization Marketing 103

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. This rule actually comes from my second book, Web Analytics 2.0. Page 318, Principles for Becoming an Analysis Ninja, if you have the book already.]. So why not your metrics? This is the problem with lonely metrics. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Book Articles. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Experimentation and Testing: A Primer.

KPI 125

KPI Metrics Measurement ROI 125

Occam's Razor

MARCH 23, 2010

Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. If you don't kill 25% of your metrics each year, you are doing something wrong. Why do you think introducing a completely different set of numbers is going to make your life easier? Likely not. success measures.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Occam's Razor

OCTOBER 19, 2010

As defined in my second book Web Analytics 2.0 For more on why I recommend this specific order please see my second book, Web Analytics 2.0 , which many of you already have. Mongoose Metrics ~ ifbyphone. I know Mongoose Metrics a bit more and have been impressed with their solution and evolution over the last couple of years.

Analytics 136

Analytics Testing Measurement Optimization 136

Domino Data Lab

AUGUST 26, 2019

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. We’ve already introduced models, parameters, and hyperparameters in Section 5.2.2.4 [ in the book ]. in the book. ]. Introduction. In [1]: # setup. Models, Parameters, Hyperparameters.

Testing 79

Testing Modeling Machine Learning Metrics 79

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). The benchmark for the beautiful metric AVOC is 15.3%. What does the diminishing returns curve look like for TV GRPs for our company?

Analytics 133

Analytics Scorecard Strategy Testing 133

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. Ensure a culture that supports a steady process of learning and experimentation. That brings us up to circa Mother of All Demos.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

CIO Business Intelligence

MAY 20, 2024

In our book, Relentless: The Forensics of Organized Crime Business Practices, we describe the daily routine of an undercover FBI agent who infiltrated a New York City crime family. Instead, companies should use metrics other than budget targets for rewards.

Management 122

Management Interactive Measurement Marketing 122

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 42

Experimentation Statistics Metrics Measurement 42

Domino Data Lab

MAY 8, 2019

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. AKBC , May 20-22 in Amherst.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

DECEMBER 12, 2016

What one critical metric will help you clearly measure performance for each strategy above? How will you know if the performance was a success or failure, what's the target for each critical metric? What specific strategies are you currently leveraging to accomplish aforementioned objectives? You plus Finance plus CMO.].

Analytics 142

Analytics Data-driven Strategy Consulting 142

Occam's Razor

MAY 18, 2010

But a typical set of metrics you'll evaluate will hopefully represent a spectrum of success, like for example. Don't focus specifically on the metrics I have used above but rather the thought process behind their selection. It is only after experimentation (a lot) that I end up with something sweet.

Analytics 124

Analytics Key Performance Indicator Metrics Measurement 124

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. They have been extensively covered here and in both my books.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

JULY 6, 2016

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! and get stuff fixed.

Testing 87

Testing Marketing Experimentation Cost-Benefit 87

Occam's Razor

MAY 27, 2015

Look at the right nav on this blog, two best selling books in 13 languages! As all of my proceeds from the books go to charity, this passion for data has allowed me to donate $350,000 to charity since the first book was published. Definitely buy my data books! :). Please don't have a data-first strategy. And people.

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155

CIO Business Intelligence

FEBRUARY 21, 2024

We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We We’ve done a lot of experimentation on these adaptive tools that use AI,” says Ventimiglia. We ran a pilot with data scientists and other specialists on campus, and using the model, they were able to make very accurate predictions.

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Data-driven Modeling 135

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

OCTOBER 14, 2024

“By not transforming to a more current state and failing to innovate based on anticipated future needs, CIOs may be exposing their organizations to greater vulnerabilities and competitive disadvantages,” says Kate O’Neill, an executive advisor and emerging tech analyst, and author of the forthcoming book What Matters Next.

Digital Transformation 131

Digital Transformation Experimentation Cost-Benefit Risk 131

O'Reilly on Data

APRIL 15, 2025

One client proudly showed me this evaluation dashboard: The kind of dashboard that foreshadows failure This is the tools trapthe belief that adopting the right tools or frameworks (in this case, generic metrics) will solve your AI problems. Second, too many metrics fragment your attention. When everything is important, nothing is.

Experimentation 299

Experimentation Testing Metrics Measurement 299

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. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 276

Modeling Advertising Recreation/Entertainment Metrics 276