Web analysis is important task in web portals development. Web measurement can answer to many questions related to user activity. Web analytics is the study of whether the web site is meeting its diverse goals. Just as important, it is the presentation of the results to the various divisions of the company in a comprehensible format. The core of the web analytical system is built on traditional decision support technologies that are focused specifically on capturing, analyzing and reporting on web visitor data. In this work analyzed methods ant technologies required for web portal analysis system design. This paper compares possible data gathering sources and methods for reports creation. There is offered conceptual design of analysis system using hybrid data collection sources. System realization is used in KTU Computer Cathedral activity.

The spread of COVID-19 across the globe has produced global and possibly persistent economic disruption. This study follows the design science research process and conducts qualitative and quantitative analysis to identify and investigate Canadian agri-food company responses to COVID-19. The results show the possibility of capturing companies’ responses from web-based data, the breadth of responses, and the relationships between the communication of corporate responses and their reception among social media users. Divergences of regression results across different languages are also discussed in this paper. The findings will help academic researchers, business leaders and policymakers understand corporate responses and subsequent reactions better.

The project describes the problems of reconstruction and analysis of web traffic. The main goal of this project is to study theoretical background and to create a design of the reconstruction tool. The tool does reconstruction of the web traffic based on captured network data. Output of the reconstruction process is intended for later visualization. Main usage of this tool is expected at the law enforcing agencies dealing with Internet crime.

This diploma thesis is focused on information availability on websites of personal transport companies. Our main concern is to propose a methodology for web analysis with stress on information availability and satisfying information needs of various users. This methodology has been tested on websites of these three transport companies: CDS Náchod, Eurolines and České dráhy. This tested methodology can also be used for analysing other transport companies or as a guideline for developing new transport companies' websites. Likewise it can be applied to analyse websites of any other company if the information needs are respecified.

The thesis deals with characterization and comparison of two marketing tools on the Internet: Pay per click advertising in AdWords and advertising on the social media network Facebook. The theoretical part describes internet marketing as a complex system; it characterizes the specific advantages and limitations of individual input channels and current trends in their development. In the practical part, the best practices are applied to the advertising campaign of the cultural non-profit organization, the D21 Theater. Subsequently, the performance of each tool is evaluated within increased sessions and conversions in Google Analytics. At the end of the thesis, the recommendations are implemented to increase the effectiveness of the internet marketing of a cultural institution, based on the impact of advertisements and assessment of SEO optimization and web design.

In the time of recent economic crisis is more than ever difficult to keep old and find new customers. Along with the growth of sales on the Internet there are also a growing number of competitors, which want their share of the market pie. The aim of this thesis is to use technologies and processes of Business Intelligence with web analysis of an electronic store in order to get new information and knowledge that should later on help with overcoming the two mentioned problems most companies running an internet business are today dealing with. In the first, theoretical part of this thesis there are described basic principles and processes of search engine optimization in term of both users and search engines. Next chapter follows the theory of web analysis. There are also described general as well as own selection criteria of the web analysis tool. Upon these criteria there are these tools described and evaluated. Last theoretical chapter deals with Business Intelligence, in particular with a data warehouse theory and with a process of a BI project. Introduction to the practical part is formed by a description of a current e-shop situation. In this part there is also mentioned current architecture solution, standing of the firm and its future vision. On the basis of selected web analysis tool and theoretical knowledge described in previous chapters there is than designed concrete solution and described process of its implementation, some of its outputs and also its costs. The main contribution of this thesis I see in gaining new and otherwise hardly accessible reports about the visit rate, which should ease and improve the process of website optimization and therefore help the company to strengthen its market position. Another contribution would be in demonstration of the BI implementation on a small business scale also with its cost accounting.

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.

The thesis deals with the issue of currently most frequent cyber attacks apperaring in the financial sector, that do not aim to fraud financial institutions, but particularly target their clients, average Internet users. The highest attention is deserved to fraud emails -- as known as phishing. The other types of internet frauds and scams, such as Nigerian email scams or the Zeus virus, are not omitted. In the document is presented textual and pictorial guide, which contents a list of warning signs, that helps common Internet user identify and reveal email fraud. The multicriterial analysis evaluates the level of education and awareness, that selected financial institutions provide to their clients using the official web sites. In the last chapter are suggested recommendations and advices leading to increase availability, clearness and quality of information regarding internet frauds and financial threats.

The aim of the diploma thesis is the analysis of set inbound marketing components and suggestion of a strategical concept with the option of real processing of this web within the bounds of possibility of the set marketing components. In the theoretical part of the thesis, the whole strategy of inbound marketing and its general inbound marketing components are presented. In the practical part of the thesis, the analysis of the website magazine in connection with user behaviour is presented, including visit rate specification towards the specific content, setting up partial SEO factors and organic marketing on social media. In the end of the diploma thesis, the analysed metrics and specific recommendations of the plan are described.

The topic of this master dissertation is data mining of customer data for marketing purposes within an enterprise. The information resulting from this process is then used to create targeted marketing campaigns. Nowadays, identifying and exploiting customer's needs is vital for any enterprise. With that in mind, the theoretical part of this dissertation is focused primarily on different methods of data analysis such as segmentation, profiling, customer scoring and determining customer value. A significant segment of this part focuses on web analysis, which studies customer's web browsing behaviour. The practical part of this dissertation is based on a case study of a specific e-shop. The case study identifies and solves problems of emailing realization. Solving these problems using Silverpop Engage brings new opportunities for emailing. The main goal of this dissertation is to show new opportunities of utilizing behavioural data for e-mailing campaigns execution.