O'Reilly on Data

MARCH 18, 2020

It seems as if the experimental AI projects of 2019 have borne fruit. Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. data cleansing services that profile data and generate statistics, perform deduplication and fuzzy matching, etc.—or But what kind?

Enterprise 349

Enterprise Deep Learning Data Governance Risk 349

Occam's Razor

SEPTEMBER 19, 2011

We have to do location-based advertising to squarefour people. We can't forget Mobile advertising. Smart Marketers work hard to ensure that their digital marketing and advertising efforts are focused on the most impactful portfolio of channels. Having read this post what might be the biggest downside to experimentation?

Measurement 120

Measurement Advertising Testing Marketing 120

CIO Business Intelligence

MARCH 21, 2022

Social networking: Social networking data can inform targeted advertising, improve customer satisfaction, establish trends in location data, and enhance features and services. Quantitative analysis: Quantitative analysis improves your ability to run experimental analysis, scale your data strategy, and help you implement machine learning.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

The Unofficial Google Data Science Blog

MAY 31, 2016

However, it is generally not possible to determine the incremental impact of advertising by merely observing such data across time. One approach that Google has long used to obtain causal estimates of the impact of advertising is geo experiments. What does it take to estimate the impact of online exposure on user behavior?

Advertising 43

Advertising Testing Sales Statistics 43

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

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. Your company has recently launched a new pickup truck, along with the corresponding online advertisement campaign. For example, imagine that you are working for a car manufacturer.

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

JULY 24, 2018

Ignore the metrics produced as an experimental exercise nine months ago. You can see the company’s marketing strategy spans television and other offline advertising, including retail. Answer this simple question: What metrics are most commonly used to make decisions that drive actual actions every week/month/more?

Analytics 95

Analytics Metrics Strategy Measurement 95