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Performance Analysis of a Website using Key Performance Indicators

Published on November 2012 by Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma
journal_cover_thumbnail

Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 5
November 2012
Authors: Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma
b5bd0362-29cb-413b-8b12-fd5d6fc9b274

Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma . Performance Analysis of a Website using Key Performance Indicators. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 5 (November 2012), 8-12.

@article{
author = { Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma },
title = { Performance Analysis of a Website using Key Performance Indicators },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 5 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 8-12 },
numpages = 5,
url = { /specialissues/icnict/number5/9442-1026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Navin Kumar Tyagi
%A Anil Kumar Solanki
%A Manoj Kumar Sharma
%T Performance Analysis of a Website using Key Performance Indicators
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 5
%P 8-12
%D 2012
%I International Journal of Computer Applications
Abstract

Web analytics is the measurement of visitor behaviour on a website and it can be used to collect basic visitor information such as number of visitors and visit duration etc. This basic information can then be combined to create meaningful key performance indicators which are used to analyze the performance of the website. In this paper we analyzed the log files of a website using a log analyzer tool. We used different key performance indicators like visit depth, frequency of visit and visitor ratio for our analysis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Analytics Key Performance Indicators Visit Depth Deep Log Analyzer