INFORMATION SYSTEMS IN MANAGEMENT IV

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in a choice of a trade customer are presented and descriptions on the basis of thefuzzy logic some of the characteristics of the system which under investigation areimprecise or unpredictable are outlined (S. Robak, A. Pieczyński). A processingnative XML data in relational database systems; especially SQL Server 2008 andOracle 11g is described and a study and comparison on efficiency of XQuery queriesperformed on the test relational database containing weather information providedby National Oceanic and Atmospheric Administration are presented (M.Śmietański, M. Drozd). Problems related to the capabilities of the integration ofXML data with relational data in databases management systems were discussed,particularly issues, which give developers of database software the possibility toadapt the mechanisms of storage and processing simultaneously native XML andrelational data are described and compared on Oracle 11g and Microsoft SQLServer 2008 (M. Śmietański, M. Drozd). Eventually, fundamental definitions relatedto data and information quality in the context of data completeness are describedand application of artificial neural network for the purpose of practicalexperiment that aimed to estimate data completeness in corporate ManagementInformation System is presented (T. Ząbkowski, F. Pudło).Arkadiusz Orłowski4
TABLE OF CONTENTSBECKER J.COMPARATIVE ANALYSIS OF CASE TOOLS FUNCTIONALITYCOMPATIBLE WITH UML 2.0 NOTATION ................................................................................... 7JANUSZEWSKI A.IT SOLUTIONS FOR SUPPORTING STRATEGIC CONTROLLING ........................................... 17KARPIO K., ORŁOWSKI A., PRZYBYĆ M.DATA LOGISTICS IN INFORMATION SYSTEMS ....................................................................... 28KWASOWIEC W., KARWOWSKI W.DATA WAREHOUSE DESIGN ....................................................................................................... 46NAFKHA R., OLEJNICZAK M.BUSINESS INTELLIGENCE SYSTEMS – IMPLEMENTING OPPORTUNITIESIN THE WORLD OF SMALL TO MEDIUM BUSINESS .................................................... 56ROBAK S.BUSINESS PROCESS MODELING – METHODS AND TOOLS................................................... 64ROBAK S., PIECZYŃSKI A.THE SELECTION PHASE IN DECISION MAKING AIDED WITHA DECISION SUPPORT SYSTEM .................................................................................................. 72ŚMIETAŃSKI M.J., DROZD M.EFFICENCY OF XQUERY IN PROCESSING NATIVE XML DATA STORED INRELATIONAL DATABASE............................................................................................................. 81ŚMIETAŃSKI M.J., DROZD M.SELECTED ASPECTS OF THE INTEGRATION OF XML DATAWITH RELATIONAL DATA IN DATABASE SYSTEM ............................................................... 91ZĄBKOWSKI T., PUDŁO F.DATA COMLETNESS ESTIMATION IN MANAGEMENT INFORMATION SYSTEMS ........ 1005
Page 1 and 2: WARSAW UNIVERSITY OF LIFE SCIENCES
Page 3: PREFACEThe role of the various info
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
Page 52 and 53: Processes should form a hierarchy a
Page 54 and 55:
Oracle Warehouse Builder (OWB) is a
Page 56 and 57:
BUSINESS INTELLIGENCE SYSTEMS - IMP
Page 58 and 59:
a. Primary purpose of operational s
Page 60 and 61:
a. Multiple data marts and warehous
Page 62 and 63:
5. THE BI SYSTEM COSTIn this chapte
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BUSINESS PROCESS MODELING - METHODS
Page 66 and 67:
The (Rational) Unified Process is o
Page 68 and 69:
was to be designed user-friendly fo
Page 70 and 71:
architects and software engineers t
Page 72 and 73:
THE SELECTION PHASE IN DECISION MAK
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Figure 1. Decision support system f
Page 76 and 77:
decision levels.Most of the transpo
Page 78 and 79:
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
Page 96 and 97:
tional data is not very difficult i
Page 98 and 99:
One of possibility of integration o
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DATA COMLETNESS ESTIMATION INMANAGE
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tion. Completeness level of a given
Page 104 and 105:
Figure 1. Data volume observed duri
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Table 3. Classification matrix for
show all

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