Occam's Razor

JANUARY 9, 2012

The real problem is that our management teams lack imagination when it comes to the web, and our marketing executives continue to do TV on Twitter, catalogs on display ads, irrelevant shouting on search, etc. The problem is Marketing and lack of imagination in using the web/digital channels. The problem, it turns out, is not data.

Marketing 140

Marketing B2B Measurement Risk 140

CIO Business Intelligence

MARCH 21, 2022

According to William Chen, Data Science Manager at Quora , the top five skills for data scientists include a mix of hard and soft skills: Programming: The “most fundamental of a data scientist’s skill set,” programming improves your statistics skills, helps you “analyze large datasets,” and gives you the ability to create your own tools, Chen says.

Unstructured Data 133

Unstructured Data Data Analytics Analytics Structured Data 133

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5 Download Now.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

Occam's Razor

AUGUST 22, 2011

To assist with that process everything's organized into these sections: ~ Digital Marketing: "What is amazing out there? " ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Digital Marketing: "What is amazing out there? Online Marketing Still A Faith Based Initiative.

KPI 124

KPI Metrics Measurement ROI 124

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

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. You’re working for an ice cream company that is about to market a brand new special-edition flavor. It’s time to introduce a new statistical term. How does this happen?

Testing 104

Testing Risk Data-driven Statistics 104

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

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. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

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. Life insurance needs accurate data on consumer health, age and other metrics of risk. Can you tell me a bit more about your role at Protegrity?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Part of it fueled by some Consultants.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. Tom has tried this with many many Marketers, and its so true: If you have two different pages you want to test, it takes six and a half minutes for you to configure, test (QA) and launch a A/B test. "Experiment or die, there is no try." That's it!

Testing 112

Testing Experimentation Risk Optimization 112

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. AI and Marketing (slide): [link]. Power Up Your Marketing Efforts with AI: [link].

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. In other words, iROAS is the slope of a curve of the response metric plotted against the underlying advertising spend. by turning campaigns off).

Advertising 42

Advertising Testing Sales Statistics 42

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. After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively.

Modeling 59

Modeling Metadata Publishing Sales 59

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

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). Immediately actionable web analytics (your biggest worries covered). It is a book about Web Analytics 2.0.

Analytics 60

Analytics Metrics Marketing Dashboards 60

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. But I digress.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105