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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. I believe it is one of the best possible ways to measure what humanity is thinking, and telling us via the queries they run on Google.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Starting around 2011, advertising, which once framed the organic results and was clearly differentiated from them by color, gradually became more dominant, and the signaling that it was advertising became more subtle.

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PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens

bridgei2i

It’s also crucial for enterprises to plan for contingencies and take preventive measures to ensure biases do not creep into datasets after implementing algorithms into pilots. A Masters in Quantitative Economics from the Indian Statistical Institute (ISI), Calcutta, Prithvijit founded BRIDGEi2i in May 2011.

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Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

Occam's Razor

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? How can we do better? That is ok.

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Running Code and Failing Models

DataRobot

Their code attempted to create a validation test set based on a prediction point of November 1, 2011. The code below might at first look like it separates data before and after November 1, 2011, but there’s a subtle mistake that includes future dates. Log loss is a measure of error for a model. See the source for this graphic.).

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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

In 2011, another update — dubbed ITIL 2011 — was published under the Cabinet Office. The five volumes remained, and ITIL 2007 and ITIL 2011 remained similar. ITIL v3 was released in 2011, under the Cabinet Office, bringing updates to the 2007 version published under OGC.

IT 105
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.