PR Trends - Visualization of automatically accumulated data
The key to keeping a successful website and webshop is to know the visitors and their behaviour. In order to map the behaviour of the visitors, applications that visualizes server logs is a useful tool. However in some cases the data collected in the server logs is not enough. PR Trends, an applicat...
Main Author: | |
---|---|
Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Institutionen för teknik och naturvetenskap
2006
|
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97073 |
id |
ndltd-UPSALLA1-oai-DiVA.org-liu-97073 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-UPSALLA1-oai-DiVA.org-liu-970732013-09-14T04:31:43ZPR Trends - Visualization of automatically accumulated dataengWikstål, LinnLinköpings universitet, Institutionen för teknik och naturvetenskapLinköpings universitet, Tekniska högskolan2006The key to keeping a successful website and webshop is to know the visitors and their behaviour. In order to map the behaviour of the visitors, applications that visualizes server logs is a useful tool. However in some cases the data collected in the server logs is not enough. PR Trends, an application developed for Panagora Room AB, is designed to gather information about website visitors and visualize the acquired data in the shape of different charts. The key attribute, that sets this application apart from others, is the ability to gather data specified by the software user. With a small amount of code added to a webpage, the data accumulation is in affect, and triggered by webpage visitors. The database is designed to be dynamic, meaning that new data structures may be accumulated without any change of the database definition. This application provides the Retail Service Provider Panagora Room AB with a comparable overview of their customers’ development on the market as well as a comparison between the different merchandise groups. This thesis is a presentation of the development of the software, from its design to the finished application and its results. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97073application/pdfinfo:eu-repo/semantics/openAccess |
collection |
NDLTD |
language |
English |
format |
Others
|
sources |
NDLTD |
description |
The key to keeping a successful website and webshop is to know the visitors and their behaviour. In order to map the behaviour of the visitors, applications that visualizes server logs is a useful tool. However in some cases the data collected in the server logs is not enough. PR Trends, an application developed for Panagora Room AB, is designed to gather information about website visitors and visualize the acquired data in the shape of different charts. The key attribute, that sets this application apart from others, is the ability to gather data specified by the software user. With a small amount of code added to a webpage, the data accumulation is in affect, and triggered by webpage visitors. The database is designed to be dynamic, meaning that new data structures may be accumulated without any change of the database definition. This application provides the Retail Service Provider Panagora Room AB with a comparable overview of their customers’ development on the market as well as a comparison between the different merchandise groups. This thesis is a presentation of the development of the software, from its design to the finished application and its results. |
author |
Wikstål, Linn |
spellingShingle |
Wikstål, Linn PR Trends - Visualization of automatically accumulated data |
author_facet |
Wikstål, Linn |
author_sort |
Wikstål, Linn |
title |
PR Trends - Visualization of automatically accumulated data |
title_short |
PR Trends - Visualization of automatically accumulated data |
title_full |
PR Trends - Visualization of automatically accumulated data |
title_fullStr |
PR Trends - Visualization of automatically accumulated data |
title_full_unstemmed |
PR Trends - Visualization of automatically accumulated data |
title_sort |
pr trends - visualization of automatically accumulated data |
publisher |
Linköpings universitet, Institutionen för teknik och naturvetenskap |
publishDate |
2006 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97073 |
work_keys_str_mv |
AT wikstallinn prtrendsvisualizationofautomaticallyaccumulateddata |
_version_ |
1716597589335343104 |