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Data Mining for Effective Customer Communication
Madhi, Simona ; Šperková, Lucie (advisor) ; Novotný, Ota (referee)
The aim of this paper is to describe and illustrate benefits of using Data Mining for effective customer communication. The objective is to perform a Data Mining analysis in order to achieve results with potentially beneficial influence on the company s relationship with its customers, while using the KNIME Analytics Platform tool. The paper introduces the theoretical aspect of Customer Relationship Management, Data Mining and the opportunities of using Data Mining to improve CRM; followed by a market analysis of available Data Mining tools and the introduction of the KNIME Analysis Platform. Furthermore, the knowledge thus reached is used for the performance of real data analysis with the aim of reaching customer knowledge that would be appropriate to use within CRM strategy and finally to positively influence the value of customer relationships.
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Trends in analytical CRM
Heřmanský, Michal ; Šperková, Lucie (advisor) ; Jašek, Pavel (referee)
This thesis describes major trends in the field of analytical CRM. The goal is to identify those trends and compare them with current situation on the CRM market. The thesis is devided among several parts. In the opening part is described Customer Relationship Management and architecture of CRM system. The next part discribes analytical CRM and its standard ways of using. The main part of the thesis is identification of trends. Idetificated trends are characterized and compared with situation on the market. The contribution of this thesis is summarizing current trends in CRM analytics and comparsion of those trends with current CRM market situation.
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Use of BI in Customer Relationship Management
Zvolánek, Tomáš ; Pour, Jan (advisor) ; Benáčanová, Helena (referee)
Thesis deals with systems for customer relationship management (CRM) and possibility of their expansion and extension using technologies of Business Intelligence (BI). The work focuses on a specific part of CRM - the so-called "analytical CRM" (aCRM). aCRM is examined comprehensively, i.e. in the whole range - from its history and reasons for use, through the problematic relations to other areas of business intelligence. Specification and realization of example aCRM using BI technology is included.
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CRM Software-as-a-Service in Czech Republic
Maňáková, Helena ; Žebrák, Miroslav (advisor) ; Kacerovský, Jiří (referee)
Customer relationship management includes all the sophisticated methodologies. It is a comprehensive way to manage the relationships which company has with its customers. There is a fierce competiton between companies, small businesses have to compete on equal terms with large organizations. This situation leads to discussion about customer oriented approach and diligence to prevent the loss of customer portfolio. Increase in the knowledge of customers is a key point of success. Information technology boosts customer relationship management. Companies face expensiveness of technologies and they try to find cheaper and more reachable solution. To find and evaluate criteria of success of CRM Software-as-a-Service in Czech Republic is the objective of my thesis. The goal is to define a method on how to find aspects of success, to research and to evaluate the results. Thesis contains insight into levels of CRM, summary of criteria of CRM choice, description of SaaS technology, research, results and final conclusion.
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Analytical CRM - market overview and trends
Prochásková, Jana ; Slánský, David (advisor) ; Pour, Jan (referee)
Analytical CRM is a consistent suite of analytical applications that processes customer data stored in various information systems. The results are used to measure, predict and optimize customer relationships. The CRM applications market is growing despite the economic turmoil. The major trends are: CRM as a service, focus on customer retention and loyalty and last but not least achieving cost savings by effective targeting of marketing activities. The purpose of this paper is to define the business architecture of CRM systems and analytical CRM, analysis of the market and its trends, introduction of Good Data's approach to customer analytics and suggestions for possible extension of their Customer Analytics service.
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The market of CRM systems and future development
Dudek, Martin ; Matuštík, Ondřej (advisor) ; Klaschková, Jana (referee)
The main aim of this diploma thesis is to create an overview of analytic CRM systems which are offered in the Czech Republic with the emphasis on systems which can be used for marketing processes of the firms. The overview contains the reflection of new trends in CRM systems and marketing and the development to the future. In the last decade there is a huge development of CRM systems, which are generally known as sales force automation and less as an instrument for marketing management of the companies. Last but not least CRM is mistaken with information systems, even if the CRM concept is known for a lot of years and was developed from marketing, which is very often forgotten. The topic of this diploma thesis is originally view on CRM from marketing perspective and creation of compact view of analytic CRM systems, which are offered in the Czech Republic. Emphasis is put on using of these systems for marketing management and the target is disproving the myths, which are spoken about CRM as well CRM systems. Orientation of this document is mainly on analytic CRM systems, which has the most development in the last decades and can be used very well for marketing functions in companies. There is also a large development of marketing and CRM systems. The target is also making a summary of these trends and makes a hypothesis if CRM systems are developed according the future of marketing, if the CRM systems manage the reaction on this things.
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