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Mužík, Zbyněk. "Web Analytics." Master's thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-295.
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Práce se zabývá problematikou měření ukazatelů souvisejících s provozem webových stránek a aplikací a technologickými prostředky k tomu sloužícími ? Web Analytics (WA). Hlavním cílem práce je otestovat a porovnat vybrané zástupce těchto nástrojů a podrobit je srovnání podle objektivních kriterií, dále také kritické zhodnocení možností WA nástrojů obecně. V první části se práce zaměřuje na popis různých způsobů měření provozu na WWW a definuje související metriky. Poskytuje také přehled dostupných WA nástrojů. Následně je vytvořen hodnotící model pro WA nástroje a podle něj je ohodnoceno šest zástupců těchto nástrojů. Hodnocení má podobu uživatelského testování na datech ze dvou reálných webových stránek. Majitelům těchto dvou webových stránek je učiněno doporučení pro volbu vhodného WA nástroje na základě jejich preferencí. Dalším výstupem práce jsou reporty, vygenerované testovanými nástroji, popisující aktivity na zkoumaných webových stránkách.
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Dakela, Sibongiseni. "Web analytics strategy: a model for adopting and implementing advanced Web Analytics." Doctoral thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10288.
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Includes bibliographical references (leaves 290-306).<br>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.
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Greco, Melania <1989>. ""Web Analytics per il marketing"." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/7804.
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Web Analytics come strumento per l'elaborazione di un piano di marketing per una realtà virtuale. Viene approfondito il rapporto one to one con l'utente finale in una realtà virtuale dove l'esperienza d'acquisto non passa attraverso il contatto diretto con l'oggetto ma attraverso un percorso di customer relationship management che parte dalla segmentazione fino ad arrivare ad attività di direct marketing pensate ad hoc.
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Carle, William R. II. "Active Analytics: Adapting Web Pages Automatically Based on Analytics Data." UNF Digital Commons, 2016. http://digitalcommons.unf.edu/etd/629.
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Web designers are expected to perform the difficult task of adapting a site’s design to fit changing usage trends. Web analytics tools give designers a window into website usage patterns, but they must be analyzed and applied to a website's user interface design manually. A framework for marrying live analytics data with user interface design could allow for interfaces that adapt dynamically to usage patterns, with little or no action from the designers. The goal of this research is to create a framework that utilizes web analytics data to automatically update and enhance web user interfaces. In this research, we present a solution for extracting analytics data via web services from Google Analytics and transforming them into reporting data that will inform user interface improvements. Once data are extracted and summarized, we expose the summarized reports via our own web services in a form that can be used by our client side User Interface (UI) framework. This client side framework will dynamically update the content and navigation on the page to reflect the data mined from the web usage reports. The resulting system will react to changing usage patterns of a website and update the user interface accordingly. We evaluated our framework by assigning navigation tasks to users on the UNF website and measuring the time it took them to complete those tasks, one group with our framework enabled, and one group using the original website. We found that the group that used the modified version of the site with our framework enabled was able to navigate the site more quickly and effectively.
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Dibrova, Alisa. "Web analytics. Website analysis with Google Analytics and Yandex Metrics." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22200.
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The scope of my research is web analytics. This paper describes the process of usability analysis of the website belonging to a company Sharden Hus situated in Stockholm. From the many existing tools of web analysis I chose two the most popular ones, Google Analytics and Yandex Metrics. In similar projects that I have read, the website redesign was based on both quantitative, statistical, and qualitative (user interviews, user tests) data. In contrast to the previously carried out projects on websites improvement with the help of similar tools, I decided to base the changes on the website only on quantitative data obtained with Google and Yandex counters. This was done in order to determine whether and how Google and Yandex tools can improve the website performance. And to see if web analytics counters may provide with sufficient statistical data enough for it's correct interpretation by a web analytics designer which would lead to the improvement of the web site performance.The results of my study showed that Google and Yandex counters isolated from qualitative methods can improve the website performance. In particular, the number of visits from the territory of Sweden was increased to almost double; the overall bounce rate reduced; the number of visits to the page containing order forms significantly increased.
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Govind. "Entity-level Event Impact Analytics." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC260/document.
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Notre société est de plus en plus présente sur le Web. En conséquence, une grande partie des événements quotidiens a vocation à être numérisée. Dans ce cadre, le Web contient des descriptions de divers événements du monde réel et provenant du monde entier. L'ampleur de ces événements peut varier, allant de ceux pertinents uniquement localement à ceux qui retiennent l'attention du monde entier. La presse et les médias sociaux permettent d’atteindre une diffusion presque mondiale. L’ensemble de toutes ces données décrivant des événements sociétaux potentiellement complexes ouvre la porte à de nombreuses possibilités de recherche pour analyser et mieux comprendre l'état de notre société.Dans cette thèse, nous étudions diverses tâches d’analyse de l’impact des événements sociétaux. Plus précisément, nous abordons trois facettes dans le contexte des événements et du Web, à savoir la diffusion d’événements dans des communautés de langues étrangères, la classification automatisée des contenus Web et l’évaluation et la visualisation de la viralité de l’actualité. Nous émettons l'hypothèse que les entités nommées associées à un événement ou à un contenu Web contiennent des informations sémantiques précieuses, qui peuvent être exploitées pour créer des modèles de prédiction précis. À l'aide de nombreuses études, nous avons montré que l'élévation du contenu Web au niveau des entités saisissait leur essence essentielle et offrait ainsi une variété d'avantages pour obtenir de meilleures performances dans diverses tâches. Nous exposons de nouvelles découvertes sur des tâches disparates afin de réaliser notre objectif global en matière d'analyse de l’impact des événements sociétaux<br>Our society has been rapidly growing its presence on the Web, as a consequence we are digitizing a large collection of our daily happenings. In this scenario, the Web receives virtual occurrences of various events corresponding to their real world occurrences from all around the world. Scale of these events can vary from locally relevant ones up to those that receive global attention. News and social media of current times provide all essential means to reach almost a global diffusion. This big data of complex societal events provide a platform to many research opportunities for analyzing and gaining insights into the state of our society.In this thesis, we investigate a variety of social event impact analytics tasks. Specifically, we address three facets in the context of events and the Web, namely, diffusion of events in foreign languages communities, automated classification of Web contents, and news virality assessment and visualization. We hypothesize that the named entities associated with an event or a Web content carry valuable semantic information, which can be exploited to build accurate prediction models. We have shown with the help of multiple studies that raising Web contents to the entity-level captures their core essence, and thus, provides a variety of benefits in achieving better performance in diverse tasks. We report novel findings over disparate tasks in an attempt to fulfill our overall goal on societal event impact analytics
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Berky, Levente. "Vizualizace dat pro Ansible Automation Analytics." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445590.
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Tato práce se zaměřuje na vytvoření webové komponenty k vykreslení grafů ze strukturovanýho datovýho formátu (dále jen schéma) a vytvoření uživatelského rozhraní pro editaci schématu pro Ansible Automation Analytics. Práce zkoumá aktuální implementaci Ansible Automation Analytics a odpovídající API. Dále zkoumá vhodné knihovny pro vykreslování grafů a popisuje základy použitých technologií. Praktická část popisuje požadavky na komponentu a popisuje vývoj a implementaci pluginu. Dále práce popisuje proces testování a~plány budoucího vývoje pluginu.
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Weida, Petr. "Využití Google Analytics v eshopu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85117.
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The main aim of this work is describing and explaining the possibilities of web analytics as a tool for effective evaluation of the web and campaigns performance. The benefit appreciate everybody, who makes decision on further web development and its marketing based on measured data. The work is divided into three main parts. The first describes how set up Google Analytics for measuring the web, the second part shows how read and interpret the measured data. In the third practical part are both applied for analyzing prohifi.cz shop.
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Yan, Hui. "Data analytics and crawl from hidden web databases." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335862.
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Roatis, Alexandra. "Efficient Querying and Analytics of Semantic Web Data." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112218/document.
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L'utilité et la pertinence des données se trouvent dans l'information qui peut en être extraite.Le taux élevé de publication des données et leur complexité accrue, par exemple dans le cas des données du Web sémantique autodescriptives et hétérogènes, motivent l'intérêt de techniques efficaces pour la manipulation de données.Dans cette thèse, nous utilisons la technologie mature de gestion de données relationnelles pour l'interrogation des données du Web sémantique.La première partie se concentre sur l'apport de réponse aux requêtes sur les données soumises à des contraintes RDFS, stockées dans un système de gestion de données relationnelles. L'information implicite, résultant du raisonnement RDF est nécessaire pour répondre correctement à ces requêtes.Nous introduisons le fragment des bases de données RDF, allant au-delà de l'expressivité des fragments étudiés précédemment.Nous élaborons de nouvelles techniques pour répondre aux requêtes dans ce fragment, en étendant deux approches connues de manipulation de données sémantiques RDF, notamment par saturation de graphes et reformulation de requêtes.En particulier, nous considérons les mises à jour de graphe au sein de chaque approche et proposerons un procédé incrémental de maintenance de saturation. Nous étudions expérimentalement les performances de nos techniques, pouvant être déployées au-dessus de tout moteur de gestion de données relationnelles.La deuxième partie de cette thèse considère les nouvelles exigences pour les outils et méthodes d'analyse de données, issues de l'évolution du Web sémantique.Nous revisitons intégralement les concepts et les outils pour l'analyse de données, dans le contexte de RDF.Nous proposons le premier cadre formel pour l'analyse d'entrepôts RDF. Notamment, nous définissons des schémas analytiques adaptés aux graphes RDF hétérogènes à sémantique riche, des requêtes analytiques qui (au-delà de cubes relationnels) permettent l'interrogation flexible des données et schémas, ainsi que des opérations d'agrégation puissantes de type OLAP. Des expériences sur une plateforme entièrement implémentée démontrent l'intérêt pratique de notre approche<br>The utility and relevance of data lie in the information that can be extracted from it.The high rate of data publication and its increased complexity, for instance the heterogeneous, self-describing Semantic Web data, motivate the interest in efficient techniques for data manipulation.In this thesis we leverage mature relational data management technology for querying Semantic Web data.The first part focuses on query answering over data subject to RDFS constraints, stored in relational data management systems. The implicit information resulting from RDF reasoning is required to correctly answer such queries. We introduce the database fragment of RDF, going beyond the expressive power of previously studied fragments. We devise novel techniques for answering Basic Graph Pattern queries within this fragment, exploring the two established approaches for handling RDF semantics, namely graph saturation and query reformulation. In particular, we consider graph updates within each approach and propose a method for incrementally maintaining the saturation. We experimentally study the performance trade-offs of our techniques, which can be deployed on top of any relational data management engine.The second part of this thesis considers the new requirements for data analytics tools and methods emerging from the development of the Semantic Web. We fully redesign, from the bottom up, core data analytics concepts and tools in the context of RDF data. We propose the first complete formal framework for warehouse-style RDF analytics. Notably, we define analytical schemas tailored to heterogeneous, semantic-rich RDF graphs, analytical queries which (beyond relational cubes) allow flexible querying of the data and the schema as well as powerful aggregation and OLAP-style operations. Experiments on a fully-implemented platform demonstrate the practical interest of our approach
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Barracu, Maria Antonietta. "Tecniche, metodologie e strumenti per la Web Analytics, con particolare attenzione sulla Video Analytics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/1919/.
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In questa tesi viene affrontato il tema del tracciamento video, analizzando le principali tecniche, metodologie e strumenti per la video analytics.
L'intero lavoro, è stato svolto interamente presso l'azienda BitBang, dal reperimento di informazioni e materiale utile, fino alla stesura dell'elaborato. Nella stessa azienda ho avuto modo di svolgere il tirocinio, durante il quale ho approfondito gli aspetti pratici della web e video analytics, osservando il lavoro sul campo degli specialisti del settore e acquisendo familiarità con gli strumenti di analisi dati tramite l'utilizzo delle principali piattaforme di web analytics.
Per comprendere a pieno questo argomento, è stato necessario innanzitutto conoscere la web analytics di base. Saranno illustrate quindi, le metodologie classiche della web analytics, ovvero come analizzare il comportamento dei visitatori nelle pagine web con le metriche più adatte in base alle diverse tipologie di business, fino ad arrivare alla nuova tecnica di tracciamento eventi. Questa nasce subito dopo la diffusione nelle pagine dei contenuti multimediali, i quali hanno portato a un cambiamento nelle modalità di navigazione degli utenti e, di conseguenza, all'esigenza di tracciare le nuove azioni generate su essi, per avere un quadro completo dell'esperienza dei visitatori sul sito. Non sono più sufficienti i dati ottenuti con i tradizionali metodi della web analytics, ma è necessario integrarla con tecniche nuove, indispensabili se si vuole ottenere una panoramica a 360 gradi di tutto ciò che succede sul sito.
Da qui viene introdotto il tracciamento video, chiamato video analytics. Verranno illustrate le principali metriche per l'analisi, e come sfruttarle al meglio in base alla tipologia di sito web e allo scopo di business per cui il video viene utilizzato.
Per capire in quali modi sfruttare il video come strumento di marketing e analizzare il comportamento dei visitatori su di esso, è necessario fare prima un passo indietro, facendo una panoramica sui principali aspetti legati ad esso: dalla sua produzione, all'inserimento sulle pagine web, i player per farlo, e la diffusione attraverso i siti di social netwok e su tutti i nuovi dispositivi e le piattaforme connessi nella rete. A questo proposito viene affrontata la panoramica generale di approfondimento sugli aspetti più tecnici, dove vengono mostrate le differenze tra i formati di file e i formati video, le tecniche di trasmissione sul web, come ottimizzare l'inserimento dei contenuti sulle pagine, la descrizione dei più famosi player per l'upload, infine un breve sguardo sulla situazione attuale riguardo alla guerra tra formati video open source e proprietari sul web.
La sezione finale è relativa alla parte più pratica e sperimentale del lavoro. Nel capitolo 7 verranno descritte le principali funzionalità di due piattaforme di web analytics tra le più utilizzate, una gratuita, Google Analytics e una a pagamento, Omniture SyteCatalyst, con particolare attenzione alle metriche per il tracciamento video, e le differenze tra i due prodotti. Inoltre, mi è sembrato interessante illustrare le caratteristiche di alcune piattaforme specifiche per la video analytics, analizzando le più interessanti funzionalità offerte, anche se non ho avuto modo di testare il loro funzionamento nella pratica.
Nell'ultimo capitolo vengono illustrate alcune applicazioni pratiche della video analytics, che ho avuto modo di osservare durante il periodo di tirocinio e tesi in azienda. Vengono descritte in particolare le problematiche riscontrate con i prodotti utilizzati per il tracciamento, le soluzioni proposte e le questioni che ancora restano irrisolte in questo campo.
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Ornato, Cristina, and Dana Orynbayeva. "Web analytics enhancing Project Planning: the case of Digital Marketing campaigns : Qualitative study of structured Web analytics data in Project Management." Thesis, Umeå universitet, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-145992.
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Due to the increasing relevance conferred to a digital based approach to sales, moreorganizations are looking for a profitable way to exploit the value of the information they are able to collect during Digital Marketing campaign projects. These data are called Web analytics and are generated at the passage of the user on the Web page. Despite the value entailed by this information, previous academic literature points out the lack of a structured approach to Web analytics and rarely the subject was observed in connection with Project Management.The purpose of our study is therefore to bridge the existinggap, by aiming to assess how a structured approach to Web analytics could enhance the planning phase of a project. The focus on the planning phase is due to the critical relevance attributedto it. About this, researchers want to answer the following research question:Project planning in digital marketing campaigns: which is the role of a structured use of Web analytics?Given the exploratory nature of the study, guided by a positivist stand point and considered time and space constraints, a qualitative approach to the research was selected as the most suitable. The literature reviewperformed in the secondchapter allowed the authors to drawa conceptual framework, showing the connections between the research areas involved. At the end of the chapter a model of use of Web analytics, built from previous researchers, is presented. This last one lacks of an explicit connection with thesubject of Project Management, which we will develop along the thesis work. Empirical data was gathered through semi-structured interviews that involved with managers from a digital marketing company and consultants dealingwith Web analytics, working in two different companies.Research findings indicate therole of Web analytics to beextremely important while planning a Digital Marketing campaign project, but also revealed their use and relevance along other project phases. Also, the role of Web analytics historical data emerged during the interview process and is widely commented in the conclusive chapters.Interviewees provided coherent answers that we grouped in four main clusters and analyzed: structured use of Web analytics, project phases in marketing campaigns, use of Web analytics in the planning phase of a project and contextualization.Results reveal interesting implications both at a managerial level and for future academic research. Indeed, a new model that connects a structured use of Web analytics with the planning phase of a project is presented, including the role of historicaldata. Suggestions are provided to managers in terms of possible investments, while in case of academics we recommended other ways to test the validity of the study.
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Jindra, Jan. "Webová analytika v marketingovém výzkumu akademické instituce." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72817.
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This thesis deals with the state of the web analytics in the marketing research of an academic institution. The theoretical part summarises the state of the (online) marketing in marketing activities of the academic institution and substantiates the importance of the analysis of the attendance of academic institution's web pages. It also submits basic conclusions for choosing the suitable analytic tool. In the applicative part the thesis analyses the traffic of web pages of Faculty of Management in 2010 and suggests actions leading to the higher satisfaction of web pages visitors and fulfilment of web conversion goals.
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Hejl, Radomír. "Analytika obsahových webů." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124785.
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The thesis deals with web analytics of content based websites. Its primary aim is to design metrics of a web analysis and range of the metrics. This allows a proprietor of the content based websites to evaluate the state of the web and also its changes. The following is a practical example of handling website metrics and how to evaluate a web redesign with the help of these metrics. The first and second chapter lists literature of web analysis and specifies a purpose of the thesis and its target group. In the paragraphs that follow, I explain the theoretical starting-points and major concepts in further detail. In the third chapter I describe the main targets of content based websites because con-sequently defined metrics should reflect these targets and aim for them. Then I underline some specific problems of content based websites analysis. The fifth chapter forms the crux of this work. First, I define right metrics and then present the very design of metrics for analysis of content based websites. The proposed metrics describe interpretation of values, possibilities of segmentation and also relation to other metrics. In the fifth chapter there is an example of some metrics applied to real data of two content based websites with a description of how to work with these metrics.
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Afonso, Nuno Fernando Vaz. "Web analytics : ecommerce case study in a B2B environment." Master's thesis, FEUC, 2014. http://hdl.handle.net/10316/28057.
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Dissertação de mestrado em Marketing, apresentada à Faculdade de Economia da Universidade de Coimbra, sob a orientação de Paulo Melo.<br>The web has become one of most powerful tools of communication in the world today, representing one of the most important environments for the promotion of organizations and the realization of transactions worldwide. Because of that, measuring the results and the return on the investment made on digital materials is increasingly important for professionals, whose job is to monitor knowledge and performance. In this context, web analytics applications are a valuable tool for continuously assess these indicators performance, focusing on the organizations’ website as the core component for most digital strategies. The collection and analysis of web data ultimately aims at content, design and business optimization, based on educated premises supported on figures and facts, as opposed to decision processes based solely on personal inclination from decision makers.
In order to explore the application of these techniques in a business environment, we resort to Google Analytics for the analysis of a case study of a website from an ecommerce IT retailer based in Belgium, working in a B2B environment. This research extensively covers the main indicators available, individually assessing each report’s contribution for the comprehension of business evolution. In addition, we start by defining the ambit of application, the technologies used, as well as the main concepts associated with this kind of tools. Moreover, we also look into the integration of web data with other software applications, for an agile visualization and treatment of the data.
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Bača, Roman. "Sběr sémanticky obohacených clickstreamů." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-76722.
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The aim of this thesis is to bring near to the readers the area of webmining and familiarize them with tools, which deal with data mining on the web. The main emphasis is placed on the analytical software program called Piwik. This analytical tool is compared with others nowadays available analytical tools. This thesis also aims to create a compact documentation of the software Piwik. The largest part of this documentation is devoted to the newly programmed plugin. The principle of information retrieval, based on user behavior on the web, is described from the common viewpoint and leads to more factual form of description of information retrieval using this new plugin.
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Oliveira, Claudio Luis Cruz de. "Criação de valor estratégico através de digital analytics." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-27032015-152127/.
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A Internet mudou a competição entre as empresas, alterou produtos, cadeias de valor e até mesmo os mercados. Sua democratização aumentou o poder dos consumidores; esta mudança pode ser uma ameaça para as corporações. No entanto, o conhecimento emergente derivado de Digital Analtics gerou uma série de benefícios como a personalização de serviços, o impulso à inovação e a promoção de um diálogo com o consumidor em tempo real. O conceito de Digital Analytics inclui o monitoramento, a coleta, a análise e a elaboração de relatórios de dados digitais com a finalidade de entendimento e otimização da performance dos negócios. Esse estudo objetiva entender como as empresas brasileiras implementam Digital Analytics para atingir seus objetivos de negócios e, por consequência, suportar uma vantagem competitiva. Uma survey exploratória e múltiplos estudos de caso compõem a pesquisa de campo dessa tese.<br>Internet has changed the competition, shifting products, supply-chains and even markets. Its democratization gives more weight to the consumers; this change could be considered a threat to corporations. Although, the emergent knowledge derived from Digital Analytics brings a lot of benefits: delivering personalized services, fostering innovation and promoting the dialogue with the consumer in a real time basis. The concept of Digital Analytics includes the measurement, collection, analysis and reporting of digital data for the purposes of understanding and optimizing business performance. This paper aims to understand why and how the companies implement Digital Analytics in order to achieve business goals and thus support the competitive advantage. An exploratory survey and multiple case studies compound the methodological approach of this paper.
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Rao, Rashmi Jayathirtha. "Modeling learning behaviour and cognitive bias from web logs." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492560600002105.
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Jansa, Marek. "Využití Google Analytics v e-shopu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124668.
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This thesis is focused on detailed description of the Web analytics tool Google Analytics and its use in improving attendance and competitiveness of Dobra vína company's e-shop. The aim is to propose measures that will increase sales of offered products. The measures were designed combining the analysis of web content, technical analysis of the web and the data obtained using Google Analytics. The thesis provides updated information on setting up Google Analytics: important changes that had taken place recently among which the transition to asynchronous syntax. These haven't been yet summarized in any other similar work. It also brings its own perspective on the use of information from Google Analytics to improve the performance of Internet business. The thesis presents the web analytics and the tool Google Analytics in general; it describes the setup and customization of the tracking code and finally it provides a short guide on how to read the visualized data. In the practical part it explores the web content of the Dobra vína's site and its technical aspects, after this it presents the specific settings of Google Analytics for the site and the final chapters analyze the data obtained from Google Analytics and propose adequate measures to take.
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Diaz-Aviles, Ernesto [Verfasser]. "Living analytics methods for the social web / Ernesto Diaz-Aviles." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2013. http://d-nb.info/1044648791/34.
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Doherty, Amy Josephine. "Understanding Web Sentiment Analytics and Visualization, A Social Media Analysis." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/320061.
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Conocimiento, Dirección de Gestión del. "Web of Science." Clarivate Analytics, 2004. http://hdl.handle.net/10757/655404.
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Pelikán, Hugo. "Analýza chování uživatelů a výkonnosti vybraného elektronického obchodu." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-205486.
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The thesis focuses on the behavior of users and the performance of the selected e-shop. The theoretical part of the thesis characterizes online shopping in the Czech Republic, commercial effectiveness of websites, and the most important online website traffic sources. The applied part of the thesis is devoted to competitive comparisons of attractiveness of supply and prices from the customer's perspective. The next part of the thesis characterizes user´s behavior and evaluates the effectiveness of various online marketing channels by using web analytics and user testing. The conclusion is devoted to recommendations aimed at increasing the performance of the particular e-shop.
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Amherd, Damian. "Performance Measurement in Blogs Entwicklung eines Blog Analytics-Systems /." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/05607619001/$FILE/05607619001.pdf.
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Pascual, Cid Victor. "Visual Exploration of Web Spaces." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7571.
Full textAbstract:
El gran volumen de datos que las técnicas de minería Web generan sobre espacios Web puede
llegar a ser muy difícil de entender, provocando la necesidad de desarrollar nuevas técnicas que
permitan generar conocimiento sobre esos datos con el fin de facilitar la toma de decisiones. Esta
tesis explora la utilización de técnicas de InfoVis/VA para ayudar en la exploración de espacios
Web. Más concretamente, presentamos el desarrollo de un prototipo muy flexible que ha sido
utilizado para analizar tres tipos distintos de espacios Web con distintas metas informacionales: el
análisis de la usabilidad de páginas Web, la evaluación del comportamiento de los estudiantes en
entornos virtuales de aprendizaje y la exploración de la estructura de grandes conversaciones
asíncronas existentes en foros online.
Esta tesis pretende aceptar el reto propuesto por la comunidad de InfoVis/VA de llevar a cabo
investigaciones en condiciones más reales, introduciendo los problemas relacionados con el
análisis de los espacios Web ya mencionados, y explorando las ventajas de utilizar las
visualizaciones proporcionadas por nuestra herramienta con usuarios reales.<br>The vast amount of data that Web mining techniques generate from Web spaces is difficult to
understand, suggesting the need to develop new techniques to gather insight into them in order to
assist in decision making processes.
This dissertation explores the usage of InfoVis/VA techniques to assist in the exploration of Web
spaces. More specifically, we present the development of a customisable prototype that has been
used to analyse three different types of Web spaces with different information goals: the analysis of
the usability of a website, the assessment of the students in virtual learning environments, and the
exploration of the structure of large asynchronous conversations existing in online forums.
Echoing the call of the Infovis/VA community for the need for more research into realistic
circumstances, we introduce the problems of the analysis of such Web spaces, and further explore
the benefits of using the visualisations provided by our system with real users.<br>El gran volum de dades que les tècniques de mineria Web proporcionen sobre els espais Web és
generalment molt difícil dʼentendre, provocant la necessitat de desenvolupar noves tècniques que
permetin generar coneixement sobre les dades de manera que facilitin la presa de decissions.
Aquesta tesi explora la utilizació de tècniques dʼInfovis/VA per ajudar en lʼexploració dʼespais Web.
Més concretament, presentem el desenvolupament dʼun prototipus molt flexible que hem utilitzat
per analitzar tres tipus diferents dʼespais Web amb diferents objectius informacionals: lʼanèlisi de la
usabilitat de pàgines Web, lʼavaluació del comportament dels estudiants en entorns virtuals
dʼaprenentatge i lʼexploració de lʼestructura de grans converses asíncrones existents en fòrums
online.
Aquesta tesi pretén acceptar el repte proposat per la comunitat dʼInfoVis/VA de fer recerca en
condicions més reals, introduint els problemes relacionats en lʼanàlisi dels espais Web ja
esmentats, i explorant els avantatges dʼutilizar les visualitzacions proporcionades per la nostra eina
amb usuaris reals.
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Spross, Gustav. "Analytics i en post ”mad men” era : En explorativ ansats för att undersöka problematiken vid dataintegration för analytics-system som stöd för flerkanalig digital marknadsföring i större organisationer." Thesis, Uppsala universitet, Informationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-210287.
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Denna uppsats undersöker problematiken runt att integrera datakällor då analytics används för flerkanalig digital marknadsföring i större organisationer. Ansatsen är kritiskt och går emot bilden av analytics som både enkelt att implementera och använda för flerkanalig digital marknadsföring inom större organisationer. Uppsatsen visar på hur strukturer i större organisationer gör övergripande analytics för fler digitala kanaler problematiskt. Uppsatsen bygger på resultat från en observationsstudie som gjordes inom en större multinationell organisation och fokuserar på problematik som återfanns i två huvudsakliga projekt som genomfördes under tiden för studien.
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Winblad, Emanuel. "Visualization of web site visit and usage data." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110576.
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This report documents the work and results of a master’s thesis in Media Tech- nology that has been carried out at the Department of Science and Technology at Linköping University with the support of Sports Editing Sweden AB (SES). Its aim is to create a solution which aids the users of SES’ web CMS products in gaining insight into web site visit and usage statistics. The resulting solu- tion is the concept and initial version of a web based service. This service has been developed through an agile process with user centered design in mind and provides a graphical user interface which makes high use of visualizations to achieve the project goal.
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Roth, Benjamin. "Utveckling och utvärdering av mikroservicetjänster för att stärka web cookies i webbanalysverktyg." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279541.
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Data klassificeras numera som världens mest värdefulla resurs. Den växande och storskaliga användningen av internet är en bidragande faktor till de enorma mängder data som genereras och florerar i våra digitala miljöer. Genom att analysera data som samlas in från internet, kan insikter och förståelse för internetanvändares beteendemönster utvinnas. Därför har datainsamling och webbanalys på senare år blivit en nyckelaktivitet för många internetaktörer. Med ett effektivt arbete kring dessa områden kan internetaktörer skapa sig fördelar gentemot sina konkurrenter, och därmed skapa sig marknadsmässiga försprång. I takt med att data blir allt mer eftertraktat ökar också kraven på att internetanvändares integritet ska prioriteras så att datainsamlingen inte bryter mot några etiska principer. Detta ämne har på senare år blivit allt mer aktuellt efter att det visat sig att internetanvändares integritet ofta åsidosätts i strävan efter att samla in data. Många webbläsare har därför börjat arbeta aktivt för att skydda sina användare i större utsträckning, bland annat genom att hantera kakor allt mer restriktivt. Detta har orsakatproblem för webbanalysverktyg, då de använder kakor för att kunna identifiera, binda samman och samla in data kring en besökares beteenden och interaktioner på en webbplats. Syftet med denna studie är att utveckla, utvärdera och jämföra metoder som stärkerde kakor som används av webbanalysverktyg. Med hjälp av de metoder som utvecklas är studiens mål att höja kvalitén på den data som samlas in av verktygen. Studien har genomförts med en kvalitativ forskningsmetod i fem olika faser. För att utvärdera de metoder som utvecklas i studien har en utvärderingsmodell introducerats. Via utvärderingsmodellen har underlag till studiens resultat kunnat genereras. Resultatet visar att det med hjälp av mikroservicetjänster, i form av en proxyserver, är möjligt att åstadkomma en markant förbättring av kvalitén i den data som samlas in av webbanalysverktyg.<br>Data is now classified as the world’s most valuable resource. The growing and large-scale usage of internet is a contributing factor to the huge amount of data that are generated and flourish in our digital environments. By analyzing the data that can be collected from internet, insights and understanding of internet users behavioral patterns can be extracted. In recent years, web tracking and web analytics has therefore become a key activity for many players on the internet. With an effective work in these areas, internet players can create an advantage on thier competitors. As data becomes more and more sought after, the demands on the privacy aspects for internet users are also increasing. In recent years, this topic has become even more relevant, after it has been found that the privacy of internet users is often violated in the effort of data collection. Many web browsers has therefore actively begun to protect their users, for instance by handling cookies more restrictively. This has casued problems for web analytics tools, as they use cookies to identify, bind and collect data about users interactions and behavior patterns on a website. The purpose of this study is to develop, evaluate and compare methods that strengthen cookies used by web analytic tools. Using the methods developed in the study, the goal of the study is to improve the quality of the data that are collected by the tools. The study was conducted using a qualitative research method in five different phases. In order to evaluate the methods developed in the study, an evaluation model has been introduced. Through the evaluation model, data to the study’s result have been generated. The results shows that with help of microservices, in the form of aproxy server, it is possible to achieve a significant improvement in the quality of the data collected by web analytics tools.
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Zahradník, Jan. "Využití Google Analytics v eshopu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162548.
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The present thesis focuses on a specific e-shop operating mainly within the Czech market and the ways it uses one of the most significant tools of web analysis -- Google Analytics. The aim of the thesis is an analysis of the key areas, i.e. visitor analysis, visitor sourcing analysis and content analysis. The problematic areas are based on these as well as recommendations and suggestions that should help, once these have been applied, improve the service quality leading to increased revenue and better competitiveness within the market.
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Zdarsa, Jan. "Měření a zvyšování efektivity internetových kampaní." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72708.
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Master's thesis deals with the evaluation of the effectiveness of internet campaigns. Theoretical and methodological part of the thesis presents online marketing channels and business models widely used in Internet marketing, setting right goals before the campaign launch and the most used web analytics tools, including technological difficulties and the correct procedure for evaluating campaigns. The practical part of the thesis describes a significant difference in the evaluation of the effectiveness of internet campaigns by using the multitouch attribution. A secondary aim is to show that internet marketing is not well measured as marketers think.
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Matejová, Katarína. "Internetový marketing." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-86060.
Full textAbstract:
The diploma thesis characterizes the internet as the environment for marketing. It introduces the internet as a business tool and provides analysis of customer behavior on the internet in the Czech Republic. Following part deals with internet marketing and its specifics, which are websites, search engines and PPC ads. Next section analyses selected web analytics tools for managing internet campaings with regard on the needs of small and medium businesses. The last part is a case study, which implements the principles of the previous parts on the e-shop SteamGames.cz.
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Monteiro, Lidia Gimenez Simão Macul. "E-CRM e a influência da digital analytics." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-13072016-151725/.
Full textAbstract:
O mercado consumidor passou por diversas transformações ao longo do tempo devido principalmente à evolução tecnológica. A evolução tecnológica proporcionou ao consumidor a possibilidade de escolher por produtos e marcas, e permite a oportunidade de colaborar e influenciar a opinião de outros consumidores através do compartilhamento de experiências, principalmente através da utilização de plataformas digitais. O CRM (gerenciamento do relacionamento com o consumidor) é a forma utilizada pelas empresas para conhecerem o consumidor e criar um relacionamento satisfatório entre empresa e consumidor. Esse relacionamento tem o intuito de satisfazer e fidelizar o consumidor, evitando que ele deixe de consumir a marca e evitando que ele influencie negativamente outros consumidores. O e-CRM é o gerenciamento eletrônico do relacionamento com o consumidor, que possui todas as tradicionais características do CRM, porém com o incremento do ambiente digital. O ambiente digital diminuiu a distância entre pessoas e empresas e se tornou um meio colaborativo de baixo custo de interação com o consumidor. Por outro lado, este é um meio onde o consumidor deixa de ser passivo e se torna ativo, o que o torna capaz de influenciar não só um pequeno grupo de amigos, mas toda uma rede de consumidores. A digital analytics é a medição, coleta, análise e elaboração de relatórios de dados digitais para os propósitos de entendimento e otimização da performance em negócios. A utilização de dados digitais auxilia no desenvolvimento do e-CRM através da compreensão do comportamento do consumidor em um ambiente onde o consumidor é ativo. O ambiente digital permite um conhecimento mais detalhado dos consumidores, baseado não somente nos hábitos de compra, mas também nos interesses e interações. Este estudo tem como objetivo principal compreender como as empresas aplicam os conceitos do e-CRM em suas estratégias de negócios, compreendendo de que forma a digital analytics contribui para o desenvolvimento do e-CRM, e compreendendo como os fatores críticos de sucesso (humano, tecnológico e estratégico) impactam na implantação e desenvolvimento do e-CRM. Quatro empresas de diferentes segmentos foram estudadas através da aplicação de estudo de caso. As empresas buscam cada vez mais explorar as estratégias de e-CRM no ambiente digital, porém existem limitações identificadas devido à captação, armazenamento e análise de informações multicanais, principalmente considerando os canais digitais. Outros fatores como o apoio da alta direção e a compreensão de funcionários para lidar com estratégias focadas no consumidor único também foram identificados neste estudo. O estudo foi capaz de identificar as informações mais relevantes para a geração de estratégias de gerenciamento eletrônico do relacionamento com o consumidor e identificou os aspectos mais relevantes dos fatores críticos de sucesso.<br>The consumer market has undergone several transformations over time mainly due to technological developments. Technological progress has given the consumer a choice of products and brands, allowing the opportunity to collaborate and influence the opinion of other consumers through the sharing of experiences, specially by the use of digital platforms. The CRM (customer relationship management) is the form used by companies to know the consumer and establish a satisfactory relationship between both. This relationship aims to satisfy and retain consumers, preventing it ceases to consume the brand and preventing it negatively influence on others. The e-CRM is the electronic management of the relationship with the consumer, which has all the traditional CRM features, which increase the digital environment. The digital environment reduced the distance between consumer and companies becoming a collaborative low-cost way of interaction with the consumer. On the other hand, this is a medium where the consumer is no longer passive and becomes active, which makes it able to influence not only a small group of friends, but a whole network of consumers. The digital analytics is the measurement, collection, analysis and preparation of digital data reports for the purposes of understanding and optimizing business performance. The use of digital data helps in the development of e-CRM through understanding consumer behavior in an environment where the consumer is active. The digital environment allows a more detailed knowledge of consumers, based not only on buying habits, but also on the interests and interactions. This study aims to understand how companies apply the concepts of e-CRM in their business strategies, including how the digital analytics contributes to the development of e-CRM, and understanding how the critical success factors (human, technological and strategic) impact in the implementation and development of e-CRM. Four companies from different segments were studied through study case application. Nowadays, Companies are increasingly looking to explore the e-CRM strategies in the digital environment, but there are limitations identified due to capture, storage and analysis of multi-channel information, especially considering digital channels. Other factors were also identified in this study, such as the support of senior management and the understanding of employees to deal with strategies focused on single consumer. The study was able to identify the most relevant information for the generation of electronic management strategies relationship with the consumer and identified the most relevant aspects of the critical success factors.
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Charvát, Michal. "Analýza uživatelského chování na webu." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-76025.
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The goal of the thesis is to analyze the behaviour of Faculty of Management website users and to formulate on its grounds the recommendations leading to increase of website usability and conversion statistics. The tool used in the thesis for this purpose are the heatmaps, in particular these two variants - mouse-tracking heatmaps and predictive heatmaps. The theoretical part describes the different types of heatmaps, their position within the framework of the web analytics and the principles of working with them. The content of the practical part is formed by the analysis of seven specific web pages and a recommendation for their optimization.
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Dahbi, Salma. "Web Analytics: Best Practices for an Organization’s Successful Performance; A Preliminary Analysis." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/etd/3725.
Full textAbstract:
This research presents an exploratory study concerning organizations’ best practices of Web analytics for a successful performance and the factors influencing the companies’ successful adoption of Web analytics.
A qualitative research methodology was used engaging a comprehension of Web analytics adoption using the Diffusion of Innovation theory (Rogers, 1995) and the theory building approach (Eisenhardt, 1989). Interviews with five companies from different industries were conducted.
Findings suggest that for a successful performance, companies should consider:
• Data for better decision making.
• Web analytics barriers
• Selecting the right KPIs and metrics based on the company’s goals.
• Web analytics trends
A mixed-method approach comprising other extensive methods of data collection should be conducted. Investigation of the use of specific metrics and KPIs within companies from different industries, as well as the strategies for working past the barriers that impede companies from adopting Web analytics should be considered.
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Duggins, Patrick. "Predictors of Web Analytics Use in Commercial and Non-Profit Radio Stations." Thesis, The University of Alabama, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10259672.
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<p> This study examines the work habits and news products produced by commercial and non-profit radio news operations at the local, or affiliate, level. Specifically, the focus is on the perception and utilization of internet audience data that measures stories on a radio station’s website. A survey of 332 commercial and non-profit radio newsroom decision-makers discovered how they feel about web audience data and how they act on it. A statistical analysis, informed by a theoretical background including Institutionalism and Resource Dependence Theory was conducted for this study. The predictor variables were the degree of perceived uncertainty, whether the respondent works in a for-profit or non-profit operation, the length of time the participant has worked in journalism, the tendency to search for information in the environment, and the tendency toward mimicry. The dependent variable was degree of use of web analytics. The findings indicate a positive relationship for both mimicry and information search with the primary dependent variable, use of web analytics data in newsroom decision making. Also, respondents with greater experience levels are marginally less receptive to relying on internet audience data for information search and less likely to mimic the practice of using web analytics. The statistical results did not support hypotheses that predicted effects from perceived uncertainty. While statistical support between perceived uncertainty and the use of web data was not found, a reverse relationship in one hypothesis suggests that use of internet audience data may reduce uncertainty rather than increase it.</p><p>
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Alvarsson, Andreas. "The development of a sports statistics web application : Sports Analytics and Data Models for a sports data web application." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138504.
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Sports and technology have always co-operated to bring better and more specific sports statistics. The collection of sports game data as well as the ability to generate valuable sports statistics of it is growing. This thesis investigates the development of a sports statistics application that should be able to collect sports game data, structure the data according to suitable data models and show statistics in a proper way. The application was set to be a web application that was developed using modern web technologies. This purpose led to a comparison of different software stack solutions and web frameworks. A theoretical study of sports analytics was also conducted, which gave a foundation for how sports data could be stored and how valuable sports statistics could be generated. The resulting design of the prototype for the sports statistics application was evaluated. Interviews with persons working in sports contexts evaluated the prototype to be both user-friendly, functional and fulfilling the purpose to generate valuable statistics during sport games.
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Koza, Jacob. "Active Analytics: Suggesting Navigational Links to Users Based on Temporal Analytics Data." UNF Digital Commons, 2019. https://digitalcommons.unf.edu/etd/892.
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Front-end developers are tasked with keeping websites up-to-date while optimizing user experiences and interactions. Tools and systems have been developed to give these individuals granular analytic insight into who, with what, and how users are interacting with their sites. These systems maintain a historical record of user interactions that can be leveraged for design decisions. Developing a framework to aggregate those historical usage records and using it to anticipate user interactions on a webpage could automate the task of optimizing web pages. In this research a system called Active Analytics was created that takes Google Analytics historical usage data and provides a dynamic front-end system for automatically updating web page navigational elements. The previous year’s data is extracted from Google Analytics and transformed into a summarization of top navigation steps. Once stored, a responsive front-end system selects from this data a timespan of three weeks from the previous year: current, previous and next. The most frequently reached pages, or their parent pages, will have their navigational UI elements highlighted on a top-level or landing page to attempt to reduce the effort to reach those pages. The Active Analytics framework was evaluated by eliciting volunteers by randomly assigning two versions of a site, one with the framework, one without. It was found that users of the framework-enabled site were able to navigate a site more easily than the original.
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Gomes, João Fernando dos Anjos. "Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais, 2016. http://hdl.handle.net/10400.26/17292.
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Dissertação apresentada para cumprimento dos requisitos
necessários à obtenção do grau de
Mestre de Sistemas de Informação Organizacionais<br>Com o constante crescimento da utilização da Internet o número de websites e respetivas
páginas contínua a evoluir também, por este motivo, verifica-se uma necessidade de alinhar a
experiência de utilização com os objetivos gerais de um website. Para satisfazer esta
necessidade o sistema de recomendação proposto sugere páginas ao utilizador que possam ser
do seu interesse com base em perfis de navegação de um website em geral. A maioria dos
sistemas de recomendação são baseados em regras de associação ou palavras chave (quando o
conteúdo é considerado). No entanto, quando os dados não são suficientes ou são muito
dispersos e a ordem é considerada, uma abordagem tradicional pode ser inadequada. Por outro
lado, assumindo outro paradigma, a área de Web Analytics, tem obtido um crescimento
considerável, através de ferramentas robustas que permitem a recolha e análise de dados da
internet, a fim de compreender e otimizar eficiência e eficácia do website. O presente artigo
propõe o desenvolvimento de um sistema de recomendação baseado na ferramenta Google
Analytics. O protótipo é composto por dois componentes principais que são: 1) um serviço
responsável pela construção e lógica associada à criação das recomendações; 2) uma biblioteca
incorporável em qualquer website que providenciará um widget de recomendação configurável.
Avaliações preliminares constataram que a implementação segue a lógica do modelo proposto.<br>As the Internet usage keeps increasing, the number of web sites and hence the number of web
pages also keeps increasing, so there is a need to align the user experience with the overall
websites purposes. Toward this requirement, the proposed recommendation systems suggest
the user pages that might be of its interest based on past navigation profiles of overall site usage.
Most of existing recommendation systems are based on association rules or based on keywords
(when content is considered). However, on usage data shortage or sparse data and if sequential
order is to be considered such traditional approaches may become unsuitable. Conversely, the
Web Analytics arena, assuming other paradigm, has experienced a considerable growth through
mature tools that allow the collection and analysis of internet data in order to understand and
optimize website efficiency and efficacy. This work proposes the development of a
recommendation system based on the Google Analytics tool. The prototype is constituted by two
main components which are: 1) a service responsible for the construction and associated logic
that underlies recommendations generation; 2) an embeddable library on any website that will
furnish website with a configurable recommendation widget. Preliminary evaluations had
showed that the implementation follows the logic of the proposed model.
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Perry, Matthew Steven. "A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1219267560.
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Polato, Nicolo' <1995>. "SEO e web analytics nel B2B: il caso del cooling di Schneider Electric." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15936.
Full textAbstract:
Spesso si associa il digital marketing al mercato consumer, ma esso riveste importanza anche nelle interazioni tra imprese, ovvero il marketing B2B. In particolare, lo strumento di comunicazione ancora più utilizzato risulta il sito web, fondamentale per ogni azienda che vuole farsi ricercare e contattare da probabili buyer personas. In questa tesi, verranno presentati i principali strumenti digital per il marketing B2B, focalizzando successivamente l’attenzione sul sito web e le sue attività di marketing. Verrà presentato il caso della divisione “cooling” di Schneider Electric, azienda di livello globale nella quale chi scrive ha svolto il proprio tirocinio curriculare, analizzando la relativa pagina web attraverso l’analisi del posizionamento di questa nei motori di ricerca (SEO) e come essa si posiziona rispetto ai due principali competitor. Inoltre verrà presentata un’analisi dei dati di essa allo scopo di determinare il comportamento online dell’utente. Poiché durante l’esperienza di tirocinio lo scrivente ha aggiornato ed inserito nuovi prodotti all'interno della pagina, verranno presentati una serie di KPI confrontando due periodi di tempo. Infine, verrà definito chi è l'utente online e verranno presentati alcuni suggerimenti per migliorare la customer experience.
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Conocimiento, Dirección de Gestión del. "Guía de acceso para Web of Science." Clarivate Analytics, 2021. http://hdl.handle.net/10757/655404.
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Henčelová, Katarína. "Analýza dát z webovej prezentácie v softwarovej firme." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-201693.
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This thesis looks into problematic of data originating from visits of a company websites. It is partly devoted to web analytics and Business Intelligence. The aim was to create a tool for transforming and saving these data, their analysis and reporting. The product of this thesis was created for a management of a company specifically by their requests. It was made to support managerial decisions in creating a successful web strategy.
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Li, Yuanxu Li. "HealthyLifeData Analytics: A DATA ANALYTICS TOOL FOR THE HealthyLifeHRA HEALTH RISK ASSESSMENT SYSTEM." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1465510000.
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Telma, Maria Fernanda Pacheco. "O uso das ferramentas da Web Analytics no processo de inteligência competitiva das organizações." reponame:Repositório Institucional da UFPR, 2012. http://hdl.handle.net/1884/26435.
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Resumo: Este trabalho tem por finalidade o levantamento de ferramentas de pesquisa com abordagem específica para mídias digitais, e busca contribuir não apenas com o fortalecimento da adoção de práticas de Inteligência Competitiva nas organizações, mas, sobretudo, para com as perspectivas metodológicas e as práticas que compõe o estado da arte nesta área. Com o advento de novas tecnologias digitais, impactantes transformações são observadas nos processos sociais, tecnológicos e culturais, sobretudo no que diz respeito aos processos organizacionais. A nova ordem é a inserção nas mídias sociais, e isto de forma estratégica, sempre buscando formas de inovar e mensurar os resultados das suas ações táticas. Pretende-se demonstrar um determinado conjunto de ferramentas de Web Analytics disponíveis no mercado, propondo uma metodologia de aplicação para os três níveis da organização: estratégico, tático e operacional. O trabalho inicia com referencial teórico que introduz ao assunto pesquisado, começando com os conceitos de Web Analytics, sua ligação com os conceitos e processos de Inteligência Competitiva aplicados à web, e uso da tecnologia e de ferramentas para o monitoramento e mensuração de dados. Apresenta, a seguir, uma metodologia inovadora adaptada à realidade brasileira, para categorização das métricas de acordo com quatro conjuntos de objetivos: provocar o diálogo entre os usuários, promover defensores da marca ou da organização, oferecer facilidade no suporte e estimular a inovação do conteúdo. Como coroamento do trabalho, é apresentado um estudo de caso com aplicação das ferramentas de Web Analytics para uma situação real, colocando-se ferramentas utilizadas, resultados esperados, além de sugestões para melhores práticas de mercado. As análises mostram como as referidas práticas podem auxiliar na identificação de padrões comportamentais e quanto às especificidades de uma comunidade on-line, além de identificar possíveis insights para ações e tendências de consumo. As considerações finais apontam as limitações, dificuldades e restrições do presente estudo, bem como aponta algumas das tendências e novas fronteiras a serem exploradas em estudos futuros na área.
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Ávila, Garzón Cecilia. "Tracing the creation and evaluation of accessible Open Educational Resources through learning analytics." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/662579.
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The adoption of Open Educational Resources (OER) has been continuously growing and with it the need to addressing the diversity of students’ learning needs. Because of that, OER should meet with characteristics such as the web accessibility and quality. Thus, teachers as the creators of OER need supporting tools and specialized competences. The main contribution of this thesis is a Learning Analytics Model to Trace the Creation and Evaluation of OER (LAMTCE) considering web accessibility and quality. LAMTCE also includes a user model of the teacher’s competences in the creation and evaluation of OER. Besides that, we developed ATCE, a learning analytics tool based on the LAMTCE model. Finally, it was carried out an evaluation conducted with teachers involving the use of the tool and we found that the tool really benefited teachers in the acquisition of their competences in creation and evaluation of accessible and quality OER.<br>La adopción de Recursos Educativos Abiertos (REA) ha ido en aumento y con ello la necesidad de abordar la diversidad de necesidades de aprendizaje de los estudiantes. Por ello, los REA deben cumplir con características tales como la accesibilidad web y la calidad. Así, los profesores como los creadores de REA necesitan de herramientas de soporte y competencias especializadas. La principal contribución de la tesis es el modelo LAMTCE, un modelo de analíticas de aprendizaje para hacer seguimiento a la creación y evaluación de REA considerando la accesibilidad web y la calidad. LAMTCE también incluye un modelo de usuario de las competencias del profesor en creación y evaluación de REA. Además, se desarrolló ATCE, una herramienta de analíticas de aprendizaje que está basada en el modelo LAMTCE. Finalmente, se llevó a cabo un estudio con profesores involucrando el uso de la herramienta encontrando que ésta realmente benefició a los profesores en la adquisición de sus competencias en creación y evaluación de REA accesibles y de calidad.
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Fila, Ondřej. "Sledování vývoje webu po zavedení jazykové mutace /pracovní název/." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-201690.
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The first part of this thesis, Monitoring website progress after the implementation of a language mutation, focuses on the theoretical foundations of web analytics (history of web analytics, data collection methods, basic metrics) and Internet marketing (importance of Internet marketing and its distribution, Pay Per Click advertising). An analytical tool Google Analytics is also presented in this part. The analytical and application part contains a presentation of Segway-Point company and its website. On this website the progress (sessions, bounce rate, users flow, conversions, etc.) before and after the implementation of a language mutation was monitored and the ads settings using Google AdWords was set up accordingly. The result is the evaluation of hypotheses and a list of advices and recommendations for Segway-Point company.
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Pavel, Jan. "Customer Intelligence v prostředí elektronického obchodu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-114082.
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Studies are focused on methods for better recognition of internet shop customers. General this method is called Customer Intelligence. It contains means of increase of customers valuation for a society. It is based on exploitation of accumulated data about customer which helps to get necessary information. A main target of Studies is to create system of Customer Intelligence addapted to society needs. For internet seller it is necessary to include a web analytics into the system too. In a theoretical part there is an explanation of attitude and significance of Customer Intelligence in terms of informational company system. Furthermore there is taken a customer value. It is proceeded from basic means of customer valuation assesment via customers lifelong value for society to means of customer scoring A practical part of Studies is devoted to performed analyses of customer data which are the main details for execution of Customer Intelligence. There is explained how this obtained information will be used. In a conclusion there is descirbed a technical realization and problems which had to be necessarily solved during the implementation.
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Ho, Quan. "Architecture and Applications of a Geovisual Analytics Framework." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91679.
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The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge for adapting these tools to the Internet to reach a broader user community. In this context, the research presented in this thesis introduces an effective web-enabled geovisual analytics framework implemented, applied and verified in Adobe Flash ActionScript and HTML5/JavaScript. It has been developed based on the principles behind Visual Analytics and designed to significantly reduce the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks and to bring the benefits of visual analytics to the public. The framework has been developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The importance of multiple coordinated and linked views is emphasized and a number of effective techniques for linking views are introduced. Research has so far focused more on tools that explore and present data while tools that support capturing and sharing gained insight have not received the same attention. Therefore, this is one of the focuses of the research presented in this thesis. A snapshot technique is introduced, which supports capturing discoveries made during the exploratory data analysis process and can be used for sharing gained knowledge. The thesis also presents a number of applications developed to verify the usability and the overall performance of the framework for the visualization, exploration and analysis of data in different domains. Four application scenarios are presented introducing (1) the synergies among information visualization methods, geovisualization methods and volume data visualization methods for the exploration and correlation of spatio-temporal ocean data, (2) effective techniques for the visualization, exploration and analysis of self-organizing network data, (3) effective flow visualization techniques applied to the analysis of time-varying spatial interaction data such as migration data, commuting data and trade flow data, and (4) effective techniques for the visualization, exploration and analysis of flood data.
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Urbanová, Kateřina. "Analýza a návrh redesignu webu vybrané společnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203938.
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The aim of this master`s thesis is to analyze an existing website of a chosen company by testing user`s usability, examining Google Analytics data, conducting SEO analysis and analysing user behaviour according to heat maps. The theoretical part describes the positi-on of the website in a modern marketing, characterizes and compares main web designs, summarizes best-practices for web site development, methods of web analysis and methods for analyzing user behaviour. The practical part uses the knowledge presented in the theo-retical part and applies it in the analysis on the current website of the chosen company. The secondary aim is to define recommendations for creating new pages based on the results of analyses and best-practices of web design from the theoretical part.
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Dyrhage, Max. "Incorporating a tag management system in an agile web development process to become more data-driven." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240395.
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Web analytics are used to track and examine user behavior on websites and web applications. In order to take data driven decisions companies and organizations working with the web look to web analytics to understand their users. A piece of Javascript code that collect user behavior and information is often referred to as a tag, which can be managed through a tag management system. Tag management systems can provide structure to how a website’s users’ behaviors are being measured. This study examines how a tag management system can enable web analytics of user data to be incorporated in an agile web development process at the Swedish company Dailybitsof. With a literature study, case study and interviews with professionals on the subject, a set of recommendations to enable web analytics is presented. This study suggests that a tag management system can enable web analytics to be incorporated into an agile web development process if it is implemented in combination with changes to the agile process.<br>Webbanalys används för att spåra och undersöka användarbeteende på hemsidor och webbapplikationer. För att ta datadrivna beslut, använder sig företag och organisationer av webbanalys för att förstå sina användare. Några rader Javascript-kod kan användas för att samla upp användarbeteende och kallas ibland för ett tag. Dessa tags kan behandlas i ett så kallad tag management-system. Tag management-system kan ge struktur över hur användarbeteendet på en hemsida spåras och analyseras. Den har uppsatsen undersöker hur ett tag management-system kan möjliggöra att data från webbanalys blir använt i en agil webbutvecklingsprocess hos det svenska företaget Dailybitsof. Med en litteraturstudie, fallstudie och intervjuer med professionella inom ämnet presenteras rekommendationer för att att möjliggöra webbanalys. Uppsatsen föreslår att ett tag management-system kan möjliggöra användandet av webbanalys i en agil webbutvecklingsprocess om det implementeras i kombination med ändringar av den agila processen.