Occam's Razor

SEPTEMBER 24, 2012

A Facebook employee (FBe) gave a talk about measuring ROI/Value of Facebook campaigns. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Why is it so hard to measure the value of Facebook? Metrics are a problem.

Advertising 165

Advertising ROI Metrics Marketing 165

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. In the model-fitting procedure, the modeler is then able to measure the impact of each factor against the outcome.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

SEPTEMBER 20, 2022

A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications – Emerging Regulatory, Economic and Policy Issues.

Deep Learning 89

Deep Learning Cost-Benefit Risk Data-driven 89

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Bring a structured approach to your measurement strategy, bring some process, let a Web Analytics Measurement Model be the foundation of your program. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Domino Data Lab

OCTOBER 9, 2019

It divides the observations into discrete groups based on some distance metric. Printing the K-means objects displays the size of the clusters, the cluster mean for each column, the cluster membership for each row and similarity measures. > According to this metric we should use 13 clusters. > wineUrl <- '[link].

Statistics 100

Statistics Machine Learning Metrics Measurement 100

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself.

Big Data 263

Big Data Data Analytics Analytics Data mining 263