Remove 2006 Remove Measurement Remove Testing Remove Visualization
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Kick Butt With Internal Site Search Analytics

Occam's Razor

I had first written about the wonders of site search analysis in a June 2006 post: Are You Into Internal Site Search Analysis? Even if you are not using Google Analytics you should be able to do all this with Omniture or Visual Sciences or HBX or WebTrends or CoreMetrics etc etc etc. 3: Measure Internal Site Search Quality. #4:

Analytics 101
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Cloud gets introduced: Amazon AWS launched in public beta in 2006. Mobile gets introduced: the term “ CrackBerry ” becomes a thing in 2006, followed by the launch of the iPhone the following year. data to train and test models poses new challenges: The need for reproducibility in analytics workflows becomes more acute.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Additionally, it is exceptionally difficult to measure available demand because 1. And to visualize it in a report. There is no upper limit to effective ways to visualize data.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case.

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Crushing It With Competitive Intelligence Analysis: Best Metrics, Reports

Occam's Razor

My first blog post on the topic of CIA was on 14th Aug 2006! Structure tests to validate these hypotheses. My favourite method is to use the Traffic Dashboard report in Compete (as I'd mentioned in my post on data visualization strategies and examples ). In each case, frame it as a hypothesis, test it, make bigger changes.

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