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

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you. Online, offline or nonline.

Metrics 156
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263
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The Role of Cookies in Analytics and Privacy Issues they Raise

Smart Data Collective

It is important to be aware of the different online data analytics metrics and tools used to track people online, since they shape the direction of big data technology. General user’s statistics. The post The Role of Cookies in Analytics and Privacy Issues they Raise appeared first on SmartData Collective. Usage of VPN.

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

Occam's Razor

FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Metrics are a problem. Let's go!

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Clustering in R

Domino Data Lab

As Domino seeks to support the acceleration of data science work, including core tasks, Domino reached out to Addison-Wesley Professional (AWP) Pearson for the appropriate permissions to except “Clustering” from the book, R for Everyone: Advanced Analytics and Graphics, Second Edition. Chapter Introduction: Clustering. head(wine).

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Fact-based Decision-making

Peter James Thomas

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Integrity of statistical estimates based on Data. For example: Is this a good way to define New Business Growth?

Metrics 49
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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

A lot of digital analytics focuses on direct response (conversions, leads, etc.). But there is an additional valuable, and sexy, focus of our marketing we don't give enough analytical love: Branding! Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ].