|
|
Analýza a návrh Contact Managementu
Šmehlík, Ivo ; Pour, Jan (advisor)
The main objective of this thesis is to provide the management of a company with a self- contained view on problems associated with the Contact Management as one component of the implementation of Customer Relationship Management (CRM). The thesis is primarily drawn from internet sources in order to obtain the most realistic and accurate view of given problems. The introductory part of this thesis focuses on an analysis of the areas that affect the success of the implementation of Contact Management. It highlights problems with the quality of data in companies, introduces the contributions of business architecture, and the concept of a single customer view within a company. The following part of the thesis focuses on problems involving the integration of data within a company and analyzes the problem areas concerned with the implementation of a uniform integration platform. The main part of the thesis focuses primarily on the return of investment from an application operating Contact Management and also from an active data warehouse as one of the possible solutions for the implementation of Contact Management. The thesis provides a detailed view of the classification of costs and benefits, which is necessary for relevant analysis. Together with a view on the return of investment, the thesis also analyses the design of systems for the management of the active data warehouse. The final part of the thesis focuses on problems with the implementation of householding as one part of Contact Management. This explains a possible way to implement householding within a company. The main contribution of this thesis is, firstly, to develop an overall view of the problems of Contact Management and, secondly, to provide the management of a company with information which is necessary for appropriate decisions about the solution that will radically affect the success of the entire company.
|
|
|
Master Data Integration hub - solution for company-wide consolidation of referrential data
Bartoš, Jan ; Slánský, David (advisor) ; Pour, Jan (referee)
In current information systems the requirement to integrate disparate applications into cohesive package is greatly accented. While well-established technologies facilitating functional and comunicational integration (ESB, message brokes, web services) already exist, tools and methodologies for continuous integration of disparate data sources on enterprise-wide level are still in development. Master Data Management (MDM) is a major approach in the area of data integration and referrential data management in particular. It encompasses the referrential data integration, data quality management and referrential data consolidation, metadata management, master data ownership, principle of accountability for master data and processes related to referrential data management. Thesis is focused on technological aspects of MDM implementation realized via introduction of centrallized repository for master data -- Master Data Integration Hub (MDI Hub). MDI Hub is an application which enables the integration and consolidation of referrential data stored in disparate systems and applications based on predefined workflows. It also handles the master data propagation back to source systems and provides services like dictionaries management and data quality monitoring. Thesis objective is to cover design and implementation aspects of MDI Hub, which forms the application part of MDM. In introduction the motivation for referrential data consolidation is discussed and list of techniques used in MDI Hub solution development is presented. The main part of thesis proposes the design of MDI Hub referrential architecture and suggests the activities performed in process of MDI Hub implementation. Thesis is based on information gained from specialized publications, on knowledge gathererd by delivering projects with companies Adastra and Ataccama and on co-workers know-how and experience. Most important contribution of thesis is comprehensive view on MDI Hub design and MDI Hub referrential architecture proposal. MDI Hub referrential architecture can serve as basis for particular MDI Hub implementation.
|
|
|
Master Data Management, Customer Data Integration and value for business
Rais, Filip ; Novotný, Ota (advisor) ; Slánský, David (referee)
This thesis is focused on Master Data Management (MDM), Customer Data Integration (CDI) area and its main domains. It is also a reference to a various theoretical directions that can be found in this area of expertise. It summarizes main aspects, domains and presents different perspectives to referenced principles. It is an exhaustive background research in area of Master Data Management with emphasis on practical use with references on authors experience and opinions. Secondary focus is directed to the field of business value of Master Data Management initiatives. Thesis presents a thought concept for initiations of MDM project. The reason for such a concept is based on current trend, where companies are struggling to determine actual benefits of MDM initiatives. There is overall accord on the subject of necessity of such initiatives, but the struggle is in area of determining actual measureable impact on company's revenue or profit. Since the MDM initiative is more of an enabling function, rather than direct revenue function, the benefit is less straight forward and therefore harder to determine. This work describes different layers and mapping of business requirements through layers for transparent linkage between enabling functions to revenue generating ones. The emphasis is given to financial benefit calculation, measurability and responsibility of business and IT departments. To underline certain conclusions thesis also presents real world interviews with possible stakeholders of MDM initiative within the company. These representatives were selected as key drivers for such an initiative. Interviews map their recognition of MDM and related terms. It also focus on their reasons and expectations from MDM. The representatives were also selected to equally represent business and IT departments, which presents interesting clash of views and expectations.
|
guest ::
