When working with numbers representing many people, one often employs the average to describe the people represented by the numbers. However, this approach can lead to serious problems due to the flaw of averages, which is that findings based on the average are wrong on average. In fact, often when dealing with people, the average person…… Continue reading Flaw of Averages
Category: Web analytics
SIG-KM International Research Symposium 2022 Keynote
Super time at the SIG-KM International Research Symposium 2022, hosted online by the University of North Texas. Thanks to Jeff Allen and to Lu An for the invitation! Thanks also to the Center for Studies of Information Resources (CSIR) of Wuhan University (WHU) and other academic sponsors for their support of the symposium!
Comparison of Google Analytics and SimilarWeb for Web Analytics
Approaches to collecting website analytics data can be grouped by the focus of data collection efforts, resulting in the emergence of three general methodologies, namely: user-centric, site-centric, and network-centric. Two industry standard and popular web analytics platforms are Google Analytics and SimilarWeb. Google Analytics is a site-centric service, and SimilarWeb is a user-centric service that…… Continue reading Comparison of Google Analytics and SimilarWeb for Web Analytics
User-centric, site-centric, and network-centric: Approaches to collecting website analytics data
Approaches to collecting website analytics data can be grouped by the focus of data collection efforts, resulting in the emergence of three general methodologies, namely: (a) user-centric, (b) site-centric, and (c) network-centric. The central traits of each are as follows. User-centric: Web analytics data is gathered via a panel of users, which is tracked by software installed on…… Continue reading User-centric, site-centric, and network-centric: Approaches to collecting website analytics data