DATA STORES DATA WAREHOUSING AND THE ZACHMAN FRAMEWORK PDF

Collage of Zachman Frameworks as presented in several books on Enterprise Architecture from to In other sources the Zachman Framework is introduced as a framework, originated by and named after John Zachman, represented in numerous ways, see image. This framework is explained as, for example: a framework to organize and analyze data , [7] a framework for enterprise architecture. The Zachman Framework summarizes a collection of perspectives involved in enterprise architecture.

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Developing Data Warehouse Systems requires specifications of the underlying business need in the form of information models. The development of information models is often both expensive and extensive. Against this background, reference models provide useful means to reduce the costs of information Against this background, reference models provide useful means to reduce the costs of information modelling, because they can be used as a starting point for the construction of project-specific information models.

However, reference models only provide benefits if the reduced effort resulting from their application is not overlapped by the adaptation costs. In this context, configurable reference models comprise rules which allow modifications of the original reference model depending on company or project individual determinations of configuration parameters.

This paper provides concepts for a reference model-based Data Warehouse System development. Extensions of multi-dimensional modelling techniques are proposed which allow for configuring reference models. Moreover, influences of these reference models on the Data Warehouse engineering process are discussed and an appropriate tool support is presented.

Enhanced business intelligence - supporting business processes with real-time business analytics. In the 21st century, organizations are experiencing environmental changes characterized by indistinct organizational boundaries and fast-paced change. As a result firms need appropriate decision support infrastructures in order to face these challenges. Current Data Warehousing and Business Intellig Current Data Warehousing and Business Intelligence approaches are widely accepted as a middleware layer for state-of— the-art decision support.

However, they do not provide sufficient support in dealing with the upcoming challenges, such as real-time and closed loop decision making. In this paper, we suggest an architecture for enhanced Business Intelligence that aims to increase the value of Business Intelligence by reducing action time and interlinking business processes into decision making.

Show Context Citation Context Many operational decisions e. To successfully create management reporting systems it is inevitable to specify the management reports from a business perspective.

Based on a Swiss Re business case we show how the requirements of a data warehouse based management reporting system can be specified using a business driven method, th Based on a Swiss Re business case we show how the requirements of a data warehouse based management reporting system can be specified using a business driven method, the MetaMIS approach.

The Swiss Re example shows, that dynamic business situations lead to a high complexity of information models and changed modeling requirements. The paper finishes with methodological conclusions impacting the further development of our modeling approach.

The discipline of Information Systems is sometimes accused of being heavy on practical technology but light on conceptual theory. This paper suggests that iso This paper suggests that isomorphic thinking could also benefit IS research, in particular by leveraging existing frameworks and applying them outside their original context in isomorphic IS research areas. The paper briefly defines the concept of isomorphism and illustrates the principle of isomorphic mapping using some well-known IS frameworks and theories which originate from other disciplines.

This is followed by a practical case study on how a suggested framework for evaluating models could be applied almost literally to seemingly unrelated research areas such as website analysis. The article concludes with some additional suggestions on how isomorphic thinking could advance research in other IS areas. Nom de la revue.

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The Zachman Framework Ch. We use technologies such as cookies to understand how you use our site and to provide a better user experience. Amazon Music Stream millions of songs. Open to the public. Data Warehousing is one of the most popular topics in the information systems arena. Trivia About Data Stores, Data The book explains the various views in the framework completely and in plain English, useful for talking outside the IS shop sfores selling concepts. Traditionally we may be very good at thinking about data and function, but Zachman adds the dimensions of network, organization, schedule and motivation.

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Data stores, data warehousing, and the Zachman Framework

Developing Data Warehouse Systems requires specifications of the underlying business need in the form of information models. The development of information models is often both expensive and extensive. Against this background, reference models provide useful means to reduce the costs of information Against this background, reference models provide useful means to reduce the costs of information modelling, because they can be used as a starting point for the construction of project-specific information models.

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