Occam's Razor

AUGUST 22, 2011

To assist with that process everything's organized into these sections: ~ Digital Marketing: "What is amazing out there? Digital Marketing: "What is amazing out there? " 11 Digital Marketing “Crimes Against Humanity”. Mobile Marketing and Analytics: Click-to-Call Mobile Ad Campaigns. Be data driven?"

KPI 124

KPI Metrics Measurement ROI 124

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Sisense

JANUARY 21, 2020

You’re working for an ice cream company that is about to market a brand new special-edition flavor. This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term.

Testing 104

Testing Risk Data-driven Statistics 104

Ontotext

APRIL 3, 2024

So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. These are not statistical inferences. What is a customer?

Technology 59

Technology Risk Digital Transformation Measurement 59

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Try to understand your market.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Insight

APRIL 28, 2020

How will they interact with product, engineering, sales, or marketing? You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. provide an opportunity to measure both.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

JULY 24, 2018

To name a few: Digital Marketing & Measurement Model | Analytics Ecosystem | Web Analytics 2.0. During a discussion around planning for measurement, a peer was struggling with a unique collection of challenges. You see more digital metrics because digital is more measurable. Then one day, a magic moment.

Analytics 93

Analytics Metrics Strategy Measurement 93

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. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. The problem is Marketing and lack of imagination in using the web/digital channels. If you are a digital marketer then this absolutely is your problem. 7 Rules for Digital Marketing Revolutionaries! The problem, it turns out, is not data.

Marketing 140

Marketing B2B Measurement Risk 140

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

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

Experimentation 68

Experimentation Sales Metrics Measurement 68

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

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.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

O'Reilly on Data

MARCH 23, 2023

It’s commonly believed that the more parameters, the better; that’s at least a good story for marketing to tell. Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. Tokens are significant parts of a word.

IT 271

IT Modeling Testing Risk 271

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. In case of WebTrends replace those terms with Marketing Intelligence / Visitor Data Mart etc. Part of it fueled by some Consultants. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Cloudera

NOVEMBER 25, 2020

However, as they continue finding treatments and understanding the progression of these cancers, they now also need to serve a much higher expectation on delivery to market. And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. Challenges Ahead.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Occam's Razor

FEBRUARY 8, 2021

From observing behavior closely, and from my own experimentation and failure, I've noticed consistent patterns in what great employees do and great bosses do. They find the external author of the statistical algorithm I want them to use, and ask them for guidance. See-Think-Do for Marketing. Invest in yourself.

Strategy 132

Strategy Statistics Cost-Benefit Marketing 132