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Web analytics strategy: a model for adopting and implementing advanced Web Analytics

Includes bibliographical references (leaves 290-306).

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Bibliographic Details
Main Author: Dakela, Sibongiseni
Other Authors: Seymour, Lisa
Format: Thesis
Language:English
Published: Department of Information Systems 2014
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access_status_str Open Access
author Dakela, Sibongiseni
author2 Seymour, Lisa
author_browse Dakela, Sibongiseni
Seymour, Lisa
author_facet Seymour, Lisa
Dakela, Sibongiseni
author_sort Dakela, Sibongiseni
collection Thesis
description Includes bibliographical references (leaves 290-306).
format Thesis
id oai:open.uct.ac.za:11427/10288
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:46:22.363Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Information Systems
publisherStr Department of Information Systems
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10288 Web analytics strategy: a model for adopting and implementing advanced Web Analytics Dakela, Sibongiseni Seymour, Lisa Information Systems Includes bibliographical references (leaves 290-306). Web Analytics (WA) is an evaluative technique originating from and driven by business in its need to get more value out of understanding the usage of its Web sites and strategies therein. It is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimising Web usage for the online visitor, the online customer and the business with Web site presence. Current WA practice is criticised because it involves mostly raw statistics and therefore the practice tends to be inconsistent and misleading. Using grounded action research, personal observations and a review of online references, the study reviews the current state of WA to to propose an appropriate model and guidelines for a Web Analytics adoption and implementation in an electronic commerce organisation dealing with online marketing. 2014-12-27T19:46:34Z 2014-12-27T19:46:34Z 2011 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10288 eng application/pdf Department of Information Systems Faculty of Commerce University of Cape Town
spellingShingle Information Systems
Dakela, Sibongiseni
Web analytics strategy: a model for adopting and implementing advanced Web Analytics
thesis_degree_str Doctoral
title Web analytics strategy: a model for adopting and implementing advanced Web Analytics
title_full Web analytics strategy: a model for adopting and implementing advanced Web Analytics
title_fullStr Web analytics strategy: a model for adopting and implementing advanced Web Analytics
title_full_unstemmed Web analytics strategy: a model for adopting and implementing advanced Web Analytics
title_short Web analytics strategy: a model for adopting and implementing advanced Web Analytics
title_sort web analytics strategy a model for adopting and implementing advanced web analytics
topic Information Systems
url http://hdl.handle.net/11427/10288
work_keys_str_mv AT dakelasibongiseni webanalyticsstrategyamodelforadoptingandimplementingadvancedwebanalytics