National Repository of Grey Literature 31 records found  beginprevious22 - 31  jump to record: Search took 0.01 seconds. 
Evangelist Marketing of the CloverETL Software
Štýs, Miroslav ; Střížová, Vlasta (advisor) ; Tichý, Jan (referee)
The Evangelist Marketing of the CloverETL Software diploma thesis aims at proposing a new marketing strategy for an ETL tool - CloverETL. Theoretical part comprises chapters two and three. In chapter two, the thesis attempts to cover the ETL term, which - as a separate component of the Business Intelligence architecture - is not given much space in literature. Chapter three introduces evangelist marketing, explains its origins and best practices. Practical part involves introducing the Javlin, a.s. company and its CloverETL software product. After assessing the current marketing strategy, proposal of a new strategy follows. The new strategy is built on evangelist marketing pillars. Finally, benefits of the new approach are discussed looking at stats and data - mostly Google Analytics outputs.
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.
State of the market for Enterprise Information Integration
Dohnal, Tomáš ; Gála, Libor (advisor) ; Pour, Jan (referee)
Diploma thesis deals with the topic of information integration. The aim of the thesis is to characterize the market of IT resources for supporting Enterprise Information Integration. To achieve its objective, it will be first introduced the area of EII. The results will serve for formulating criteria that will be used to analyze the market of these IT resources. Based on the formulated criteria, there will be evaluated market offerings and then specified its key characteristics. The author's contribution to this work lies in the submission of a comprehensive description of the Enetrprise Information Integration.
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.
Ontologický přístup k integraci geografických dat
Linková, Zdeňka ; Nedbal, Radim
A key point in modern automated data processing is metadata semantics representation. Employing Semantic Web existing features - ontologies - is a promising option. Ontologies open a novel approach to knowledge representation. The paper presents a GIS (Geographic Information System) domain application illustrating ontological approach to data integration and data processing automation in the specific system. This VirGIS system is an integration system that works with spatio-temporal data. We start our study with developing the data representation based on common Semantic Web techniques and build a VirGIS ontology.
Integrace schémat založená na ontologiích
Linková, Zdeňka
Data integration usually provides a unified global view over several data sources. A crucial part of the task is the establishment of the connection between the global view and the local sources. For this purpose, two basic mapping approaches have been proposed: GAV (Global As View) and LAV (Local As View). On the Semantic Web, there can be considered also an ontological approach. In this paper, data integration is solved using ontologies of the sources. To express relationships between the global view and local source schemas, an ontology for the integration system is built. Thus, a schema integration task is transformed to an ontology merging task.
Integrace v systému VirGIS a na sémantickém webu
Linková, Zdeňka
Integration has been an acknowledged data processing problem for a long time. However, there is no universal tool for general data integration. Because various data descriptions, data heterogeneity, and machine unreadability, it is not easy way. Improvement in this situation could bring the Semantic Web. Its idea is based on machine understandable web data, which bring us an opportunity of better automated processing. The SemanticWeb is still a future vision, but there are already some features we can use. The paper describes how is integration solved in mediation integration system VirGIS and discusses use of nowadays Semantic Web features to improve it. According to the proposed changes, a new ontology that covers data used in VirGIS is presented.
Data Integration in VirGIS and in the Semantic Web
Linková, Zdeňka
Fulltext: content.csg - Download fulltextPDF
Plný tet: v922-05 - Download fulltextPDF
Data Integration Inconsistencies Resolution
Štuller, Július
Fulltext: content.csg - Download fulltextPDF
Plný tet: v847-01 - Download fulltextPDF
Designing mass modification of client contact records and theirs consolidation within financial institution
Převrátil, Martin ; Kunstová, Renáta (advisor) ; Jeřábek, František (referee)
This master thesis deals with management request towards informatics department within front company that provides wide range of financial services. Demand refers to client contact data, particularly correspondence addresses and calls for possibility to mass change such records. There are several relatively separated tasks which need to be discussed in order to fulfill the request. First part introduces the company and analyze current situation. Then continue by describing correspondence addresses issue and supports with reasons for the inevitable change. Company's information system architecture is outlined with emphasis on central database that is being formed. This part also further describes options how data can be stored. Middle part contains reason--based choice where correspondence records should be maintained in company's data architecture. Implementation plan with chosen storage pattern is formed here and connected changes in system are highlighted. As a last processes connected to correspondence addresses mass modification are described and drawn with selected notation. After that user graphic interface is designed as a place where the self request will be served.

National Repository of Grey Literature : 31 records found   beginprevious22 - 31  jump to record:
Interested in being notified about new results for this query?
Subscribe to the RSS feed.