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Nasdall Bank and the bank s customers. We traced numerous inter-branch fund transfers involving 35 deposit accounts under the names of Nasdall employees, including tellers, loans clerk, IT personnel, branch cashiers and accountants in 47 branches. It showed how rampant Frank s online gambling was among Nasdall s staff. In summary, Frank and his cohorts siphoned money from the bank using accounting-initiated unposted entries and manipulating the income and expense accounts through Internet banking. They exploited the company s lax controls on Internet transactions to perpetrate a fraud that remained undetected for a considerable period of time. The bank was able to recover its loss of $1.2 million only after litigation.
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Geographical data is most often separated into two components: spatial data and attribute data. Spatial data is used in the visualization and manipulation of realworld objects in a computer model, e.g. roads, buildings, crime locations. Typically, spatial data is presented as features on a digital map. Attribute data (textual, numeric, photographic, etc.) describes these real-world objects, e.g. name, cost, size, and an image of what the object looks like. These two components often are stored in different data structures, in separate databases. Many commercial and research systems developed to use geographical data utilize this method, typical examples are APIC4 GIS [APIC, 2003] and Environmental Systems Research Institute ARCGIS/INFO, possibly the most widely used GIS in the world. Almost all commercial systems store and manipulate all data, both spatial and attribute, stored in their own proprietary database and le structures. One exception to this is the use of an external database, for attribute data only, such as Microsoft Access or the ArcSDE/Oracle database to store both spatial and attribute data. The division of data into two data models may provide a more ef cient operating environment for graphical display, editing and enquiry, which will also provide a comprehensive attribute retrieval and analysis system. The attribute database is almost universally based on the relational database structure; however, object-oriented (OO) databases have been used in some systems, e.g., GE Smallworld [GE Energy, 2004]. GIS data is usually organized into themes, also called layers, overlays, or coverages. These can be conceptualized as overlaid maps (Figure 1.2). Each theme
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