O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.
Data warehouses
A data warehouse is a database that collects data from different data
sources. Data is gathered from sourc...
Data warehouses
Próximos SlideShares
Carregando em…5
×

Data warehouses

191 visualizações

Publicada em

Datawarehouse

Publicada em: Negócios
  • Entre para ver os comentários

  • Seja a primeira pessoa a gostar disto

Data warehouses

  1. 1. Data warehouses A data warehouse is a database that collects data from different data sources. Data is gathered from sources such as transaction data from a series of retail outlets. This data can then be used for analysis. The data in a data warehouse is historical and read only. It provides a ‘snap shot’ of business operations at a given point in time. The data is subject oriented and organises only key business information. Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals. Group decision support systems (GDSS) A group decision support system is an information system that assists users in making decisions by facilitating group collaboration. Participants use a common computer or network to enable collaboration supporting integrated systems thinking for complex decision making. A GDSS includes features such as presentation material, commenting and brainstorming, voting and evaluation of decisions. A GDSS helps to improve the efficiency and effectiveness in the decision making process. The use of a GDSS is an emerging trend rather than a common practice in business. Intelligent Decision Support Systems The area of Intelligent Decision Support Systems (IDSS) is interdisciplinary in nature, bridging Artificial Intelligence, Decision Science and Information Systems. Our research on IDSS focuses mainly on theoretical methods for multiple-criteria decision-making and application of intelligent technologies, such as expert systems, fuzzy logic systems and genetic algorithms. We are particularly interested in intelligent support to decision-making under uncertainty, based on the Dempster-Shafer evidence theory and fuzzy logic, and multiple objective optimisation by evolutionary computing. An important objective of our research is the application of those methods for the development of software tools for decision support.

×