Diploma in Business Process Management - | pt-BR - 623 - 44700
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  • Nota de Estudos
  • Rever Tópicos
    Vithaya L.
    TH
    Vithaya L.

    What is frequently referred to as three-ring binder knowledge ?

    Vithaya L.
    TH
    Vithaya L.

    What is Memorandum and letters documentation?

    Vithaya L.
    TH
    Vithaya L.

    What intelligent system ?

    Vithaya L.
    TH
    Vithaya L.

    What intelligent agents?

    Vithaya L.
    TH
    Vithaya L.

    What additionally expert system and business intelligence system?

    Hasan R.
    PK
    Hasan R.

    This paper tries to provide a new view on the currently vastly discussed and successfully employed concept of a Data Warehouse. This view presents it in the light of Knowledge Management, i.e. a Data Warehouse can serve as a storage medium for keeping the corporate memory, or at least concerning certain types of data. It helps gaining new knowledge by delivering well integrated data to analysis tools, e.g. On-Line Analytical Processing or Knowledge Discovery in Databases, and thus becomes an important part of Decision Support Systems or Executive Information Systems. In this way a Data Warehouse, storing only data, results in growth of knowledge and may lead to enhance the enterprise's success. The paper does not claim, that a Data Warehouse is the only thing an enterprise needs to perform successful Knowledge Management. During the last months several workshops, symposia etc. dealt with a new (or not so new) topic: "Knowledge Management" (KM). The term seems to embrace several existing research areas, which are all tied together by their common application environment, namely the enterprise. Some topics gathered under the new label are workflow management, business process modelling, document management, data bases and information systems, knowledge based systems, and several methodologies to model diverse aspects relevant when dealing with knowledge --or the like-- in an enterprise environment. One key term when discussing knowledge management became the "Corporate Memory" or "Organizational Memory". This memory serves for storing the enterprise knowledge which has to be managed. Analogous to the diverse approaches summoned together as knowledge management the corporate memory also contains several kinds of information, e.g. know-how in the heads of employees; case-knowledge, such as lessons learned; atomic, raw, or low level data, such as lists of customers, suppliers, or products, which are stored in data bases; or several documents stored as natural language texts in files. [Kühn, Abecker 97] define a corporate memory as "an enterprise-internal application-independent information and assistant system [which ...] stores large amounts of data, information, and knowledge from different sources of an enterprise." In this paper we will show how a Data Warehouse (DWh) smoothly matches this definition and thus should be considered during KM decision processes. Although the "D" in DWh suggests that only data is stored in a DWh, this data can become valuable knowledge for the enterprise by analysing the large amounts of data with Knowledge Discovery (KDD) or On-Line Analytical Processing (OLAP) mechanisms. Because we think "knowledge managers" should be aware of some differences between data, information, and knowledge we will try to define these three terms in section 2, although we will not back up these definitions with a comprehensive philosophical discussion. The next section then, will present the fundamental principles underlying a DWh and its contribution for knowledge mining through data analyses. In section 4 the DWh is related to KM without assuming that a DWh may solve every problem arising whilst KM processes and without presenting it as the ultimate KM system

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