- Page 1: WARSAW UNIVERSITY OF LIFE SCIENCES
- Page 5: TABLE OF CONTENTSBECKER J.COMPARATI
- Page 8 and 9: 2. THE METHODOLOGY OF THE OBJECT OR
- Page 10 and 11: Gentleware [Gentleware, Poseidon…
- Page 12 and 13: The first category of the comparati
- Page 14 and 15: 5. CONCLUSIONSCalculated weighted s
- Page 16 and 17: 14. Kaczmarski K. (2003), Extreme p
- Page 18 and 19: Figure 1. Development of controllin
- Page 20 and 21: 2. THE CHARACTERISTIC OF CORPORATE
- Page 22 and 23: They support formal strategy manage
- Page 24 and 25: SAS Strategy Performance Management
- Page 26 and 27: 4. CONCLUSIONDespite the fact that
- Page 28 and 29: LOGISTICS IN INFORMATION SYSTEMSKrz
- Page 30 and 31: work required to move and position
- Page 32 and 33: Today the information flow within t
- Page 34 and 35: ponents, store them, transport them
- Page 36 and 37: tions depend on the type of operati
- Page 38 and 39: members of the project can easily s
- Page 40 and 41: Figure 4 Evolution of ERP.Source: O
- Page 42 and 43: ments planning, and the execution s
- Page 44 and 45: company to fulfill customer needs),
- Page 46 and 47: DATA WAREHOUSE DESIGNWłodzimierz K
- Page 48 and 49: In the upper layer local data wareh
- Page 50 and 51: In the top-down design data warehou
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Processes should form a hierarchy a
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Oracle Warehouse Builder (OWB) is a
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BUSINESS INTELLIGENCE SYSTEMS - IMP
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a. Primary purpose of operational s
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a. Multiple data marts and warehous
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5. THE BI SYSTEM COSTIn this chapte
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BUSINESS PROCESS MODELING - METHODS
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The (Rational) Unified Process is o
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was to be designed user-friendly fo
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architects and software engineers t
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THE SELECTION PHASE IN DECISION MAK
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Figure 1. Decision support system f
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decision levels.Most of the transpo
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Figure 4. The fuzzy expert system a
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5. CONCLUSIONSThe proposed system s
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XML namespaces, XML Schema, XQuery,
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SELECT XMLQuery('XQuery' PASSING XM
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Table 2. Results of Example 2.40000
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Table 5. Results of Example 5.40000
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8. XML Feeds of Current Weather Con
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2. STORAGE OF NATIVE XML DATAThere
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• a path index, which indexes the
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tional data is not very difficult i
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One of possibility of integration o
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DATA COMLETNESS ESTIMATION INMANAGE
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tion. Completeness level of a given
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Figure 1. Data volume observed duri
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Table 3. Classification matrix for