May, 2006

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The 10 / 90 Rule for Magnificent Web Analytics Success

Occam's Razor

Numerous studies have pointed out that while almost all Fortune 500 companies have great investments in "Web Analytics" they still struggle to make any meaningful business decisions. Most people complain that there are tera bytes of data and giga bytes of reports and mega bytes of Excel and PowerPoint files. Yet no actionable insights, no innate awareness of what is really going on through the clutter of site clickstream data.

Analytics 134
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Excellent Analytics Tip#1: Statistical Significance

Occam's Razor

We all wish that our key internal partners, business decision makers, would use Web Analytics data a lot more to make effective decisions. How do we make recommendations / decisions with confidence? How can we drive action rather than pushing data? The challenge is how to separate Signal from Noise and make it easy to communicate that distinction. This is where Excellent Analytics Tip #1, a recurring series, comes in.

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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). There is a lot on the web about A/B or Multivariate testing but my hope in this post is to give you some rationale around importance and then a point of view on each methodology along with some tips. I covered Experimentation and Testing during my recent speech at the Emetrics Summit and here is the text from that slide: Experiment or Go Home: Customers ye

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Overview & Importance of Qualitative Metrics

Occam's Razor

Imagine walking into and out of a supermarket. If you did not purchase anything then the supermarket managers probably don't even know you were there. If you purchased something, the supermarket knows something was sold (they know a bit more if you use a membership card). Visiting a website, you leave behind a significant amount of data, whether you buy something or not.

Metrics 100
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?