Introduction
Data Warehouses (DW) integrate data from multiple heterogeneous information sources and
transform them into a multidimensional representation for decision support applications. Apart from a
complex architecture, involving data sources, the data staging area, operational data stores, the global
data warehouse, the client data marts, etc., a data warehouse is also characterized by a complex
lifecycle. In a permanent design phase, the designer has to produce and maintain a conceptual model
and a usually voluminous logical schema, accompanied by a detailed physical design for efficiency
reasons. The designer must also deal with data warehouse administrative processes, which are complex
in structure, large in number and hard to code; deadlines must be met for the population of the data
warehouse and contingency actions taken in the case of errors. Finally, the evolution phase involves a
combination of design and administration tasks: as time passes, the business rules of an organization
change, new data are requested by the end users, new sources of information become available, and the
data warehouse architecture must evolve to efficiently support the decision-making process within the
organization that owns the data warehouse.
All the data warehouse components, processes and data should be tracked and administered via a
metadata repository. In [29], we presented a metadata modeling approach which enables the capturing
of the static parts of the architecture of a data warehouse. The linkage of the architecture model to
quality parameters (in the form of a quality model) and its implementation in the metadata repository
ConceptBase have been formally described in [32]. [57] presents a methodology for the exploitation of
the information found in the metadata repository and the quality-oriented evolution of a data warehouse
based on the architecture and quality model. In this paper, we complement these results with
Stage 3 involves creating an Architectural Model version of the whole system including sub systems. A Viewpoint Hierarchy shows a skeleton version of the system which can be ins...
Smith, W., & Jewett, D. (2009). Tableau software and teradata database the visual approach to the active data warehouse. In Retrieved from http://www.tableausoftware.com/learn/whitepapers
The four key processes in the data quality management model are analysis, warehousing, collection and application of data (AHIMA 2)
Lorsch, J. W. (1987), “Organisation Design: A Situational Perspective”, Academy of Management Review, January Issue, pp. 117 – 132.
Answer: Thе extent tо whісh а ѕуѕtеm mееtѕ thе nееdѕ and expectations оf іtѕ uѕеrѕ determines the quality of the system .Comparison with competitors also helps us determine the quality of the system. The major focus of quality management is on refining, defining and measuring the quality of the development process and the product during development of the software.
Kasdorf, B. (2014). Welcome to the metadata millenium. Book Business, 17(1), 18-23. Retrieved from http://search.proquest.com/docview/1500945974?accountid=10043
Van de Ven, A.H. and Poole, M.S. (1995) defined “Change” as a type of event, which is an empirical observation of difference in form, quality, or stat over time in an organisational entity. The entity may be an ...
A data warehouse comprised of disparate data sources enables the “single version of truth” through shared data repositories and standards and also provides access to the data that will expand frequency and depth of data analysis. Due to these reasons, data warehouse is the foundation for business intelligence.
Quality is one of the most important components of application development and an integral part of the project process to ensure that errors are not made while
Board, Technology Strategy, Metadata production tools MAINSTREAM COLLABORATIVE R & D FUNDING Metadata production tools 2011 http://www.innovateuk.org/_assets/pdf/competition-documents/metadataproductiontoolscompetition.pdf accessed 02-01-2011
Greenwood, R., & Miller, D. (2010). Tackling Design Anew: Getting Back to the Heart of Organization Theory. Academy of Management Perspectives, 24 (4), 78-88.
In modern days, organizational architecture plays a key role in order to allow companies to get success in the market. Organizational architecture, also known as organizational structure, defines as a structure that where the specific company whether works roles, decision making or responsibility are centralized, delegated or coordinated. The organizational structure also identify how the information from level to level within the company. IKEA is one of the international famous firms that designs and produces home furniture such as bed frames and desks. The company also is the leader in retailing furniture and has become the largest furniture retailer over the globe. Therefore the structure of a company is an important factor to achieve a rapidly growth. This paper aimed to describe the IKEA’s organizational architecture and provide analysis that whether any recommendations or changes have to make based on current information.
Prior to the start of the Information Age in the late 20th century, businesses had to collect data from non-automated sources. Businesses then lacked the computing resources necessary to properly analyze the data, and as a result, companies often made business d...
Quality is a word which has been used for a very long time, lots of books have been written about it, and many of the world scientists have defined it in many different ways. In this research paper, I will emphasis on the Quality Management System, why is it important? What is it used for? What is the importance of having a Quality Management System? Many people think implementing QMS costs a lot and all the benefit is a piece of a paper which say that your company is certified in having QMS so you can only hang this picture or certificate on the wall and tell your smart customer that you have it. In fact, no blames on them, they have not used this system yet, they do not know that this system save a lot and a lot of money for companies. They do not know that this system create a dynamic motion within the companies so everyone know what he/she is doing, everybody understands his/her role, and everyone can feel being an important part of the process then everybody can work towards a clear and unified target. However, having a lot of benefits requires a reasonable cost and in the same time it worth. There are several organization which are concerned and involved in this issue, those organizations have produced a unified standards and those standards have its requirements. The International Standardization Organization which located in Switzerland which have a contribution of 157 countries have produced a standard which is concerned about the QMS.
Data can be organized a specific way for each business to be able to get the best use. Employees can also access the system at the same time but in different ways. For example, the customer service team can pull up documents and keep track of complaints at the same time that the marketing team is in a