Wednesday, 9 July 2014

Web Analytics 101: A Framework for Data Analysis

Analytics is the discovery and communication of meaningful patterns in data. Applied to the Web, analytics refers to collecting, measuring, analyzing, and reporting data that website owners can collect from the website visits of users. This allows website owners to understand and optimize their Web strategy to seek better results, or a better return on investment in online strategies.

According to Avinash Kaushik, the basics of Web analytics can be found in defining business objectives, goals, metrics, Key Performance Indicators (KPIs), targets, dimensions, and segments and in analyzing data accordingly.

Kaushik presents an overview of these concepts in his blog post, "Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets."

Given that a PDF of Kaushik's blog post is 12 pages of text and graphics, I've summarized his post in a visually appealing infographic, using Piktochart (below). While a week's worth of study doesn't qualify anyone as an expert in Web analytics, Kaushik lays a foundation by which to get started.

For Kaushik's complete blog post, please see http://www.kaushik.net/avinash/web-analytics-101-definitions-goals-metrics-kpis-dimensions-targets/

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