Remove 2011 Remove Measurement Remove Optimization Remove Statistics
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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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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. Measure and decide what to do.

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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. So to imply the ROI in Step 4 is sub-optimal. A push on Facebook was a part of that effort.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. The plots below illustrate a toy example of cleaning and effects adjustments in action.

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Clustering in R

Domino Data Lab

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. > An alternative to Hartigan’s rule is the Gap statistic, which compares the within-cluster dissimilarity for a clustering of the data with that of a bootstrapped sample of data.

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Time Series with R

Domino Data Lab

We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. Time series data is commonly encountered. AICc=776.99

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Unintentional data

The Unofficial Google Data Science Blog

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. This question is statistical or methodological in nature. Know what matters.