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...

Full description

Bibliographic Details
Main Author: Wikstål, Linn
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