This paper examined the difference of enterprise which is operated by .a Buddhist or not. The main fundation of thesis is Buddhism doctrine and ¡§kind with wisdom¡¨ is the framework. We interview the CEO of erterprise and investigate employees to make some conclusion ¡G 1.The Buddhism doctrine influence the operation of enterprise with some aspect such like¡Gdo works of charity¡Bpeace and follow the middle course¡Bkind and altruistic and six sail across a sea. 2. The Buddhism doctrine also influence the employees¡¦ perception and enterprise culture with some aspect such like¡Gthe decision process¡Bregular religious activities¡Bthe middle level directors are also Buddhists¡Bthe office of the CEO with Buddhists has Buddhism ¡¥s atmosphere. And the erterprise with Buddhists operate get higher scores in these five scopes. 3.The features ¡§kind with wisdom ¡§affects the erterprise with Buddhists operate in some aspect such like¡Gorganization behavior¡Boperation belief¡Boperation style¡Bdisseminate Buddhist doctrine. 4.Comparing with Janan¡¦s enterprise, the Buddhism influence them much more than Taiwan. And the influence of Buddhism in Taiwan¡¦s enterprise was showed in quantity more than quality. 5.The principle of ¡§kind with wisdom¡¨ can also be applied to enterprise operation, the enter society behavior of enterprise operation could also develop the spirit of renouncing the world.

This paper is focused on new trend in business process automation -- case management; main goal of the paper is proofing of concept for life insurance origination using case management. To fulfill this goal I had to analyze available reports from leading research companies such as Forrester and Gartner. The methodology of achievement the goal of the thesis is complemented with my own practical experiences. This thesis consists from theoretical and practical sections. There are characteristics of case management, general architecture of case management illustrated on IBM Case Manager, market insight of case management and typical case management use cases in theoretical section. Practical section is focused on case management utilization for life insurance origination process. To achieve this, there are defined sample insurance company and process analysis of life insurance origination, analyzed requirements for the proof of concept, its solution architecture and of course the proof of concept is implemented. The last chapter contains evaluation of the proof of concept and includes typical expected case management effects for financial sector. The main contribution of the paper to case management topic is the first complete description of the topic in Czech language and creating proof of concept for case management approach in financial sector.

The main goal of this thesis is to investigate the time situation of a particular entrepreneur in individual time stages of his enterprise. At the beginning the topic of time management and other relevant issues are mentioned. These issues were picked in order to help develop one's organization skills. The Theoretical Part introduces the topic of time management and shows tools which can be utilized to boost one's efficiency. Other topics like goal setting, prioritization, stress management and leadership are further discussed in this thesis. Deep quantitative interview with the entrepreneur was chosen to be the main research method. This data is accompanied by the provided documents, information from the company's website and further information the entrepreneur has shared about the company. The results of this case study are compared with the theoretical and practical information in this thesis. This study finds the entrepreneur to be a good example of dealing with time management. The entrepreneur's attitude towards modern technology is also much appreciated as are some of his core principles and values (for ex. not postponing problems). Setting goals and priorities in written form can be mentioned as a recommendation for the entrepreneur. Right kind of delegation on reliable people may also improve the situation (this is already slowly occurring in the firm).

Data warehouse technology has been successfully integrated into the information infrastructure of major organizations as potential solution for eliminating redundancy and providing for comprehensive data integration. Realizing the importance of a data warehouse as the main data repository within an organization, this dissertation addresses different aspects related to the data warehouse architecture and performance issues. Many data warehouse architectures have been presented by industry analysts and research organizations. These architectures vary from the independent and physical business unit centric data marts to the centralised two-tier hub-and-spoke data warehouse. The operational data store is a third tier which was offered later to address the business requirements for inter-day data loading. While the industry-available architectures are all valid, I found them to be suboptimal in efficiency (cost) and effectiveness (productivity). In this dissertation, I am advocating a new architecture (The Hybrid Architecture) which encompasses the industry advocated architecture. The hybrid architecture demands the acquisition, loading and consolidation of enterprise atomic and detailed data into a single integrated enterprise data store (The Enterprise Data Warehouse) where businessunit centric Data Marts and Operational Data Stores (ODS) are built in the same instance of the Enterprise Data Warehouse. For the purpose of highlighting the role of data warehouses for different applications, we describe an effort to develop a data warehouse for a geographical information system (GIS). We further study the importance of data practices, quality and governance for financial institutions by commenting on the RBC Financial Group case. v The development and deployment of the Enterprise Data Warehouse based on the Hybrid Architecture spawned its own issues and challenges. Organic data growth and business requirements to load additional new data significantly will increase the amount of stored data. Consequently, the number of users will increase significantly. Enterprise data warehouse obesity, performance degradation and navigation difficulties are chief amongst the issues and challenges. Association rules mining and social networks have been adopted in this thesis to address the above mentioned issues and challenges. We describe an approach that uses frequent pattern mining and social network techniques to discover different communities within the data warehouse. These communities include sets of tables frequently accessed together, sets of tables retrieved together most of the time and sets of attributes that mostly appear together in the queries. We concentrate on tables in the discussion; however, the model is general enough to discover other communities. We first build a frequent pattern mining model by considering each query as a transaction and the tables as items. Then, we mine closed frequent itemsets of tables; these itemsets include tables that are mostly accessed together and hence should be treated as one unit in storage and retrieval for better overall performance. We utilize social network construction and analysis to find maximum-sized sets of related tables; this is a more robust approach as opposed to a union of overlapping itemsets. We derive the Jaccard distance between the closed itemsets and construct the social network of tables by adding links that represent distance above a given threshold. The constructed network is analyzed to discover communities of tables that are mostly accessed together. The reported test results are promising and demonstrate the applicability and effectiveness of the developed approach.