【正文】 agement, delivered businessbased Business Intelligence content also has an important role here. High performance environment. Data modeling from heterogeneous sources: Data analyses can not be carried out via Data Warehouse without integrating heterogeneous sources. This is usually done with timeconsuming read processes. Scheduling tools are necessary to allow the data to be loaded in separate batch jobs at performancefriendly times. Relieving OLTP systems: In the past, OLTP systems were strongly overloaded by having to store data and analyze it at the same time. A separate Data Warehouse server now allows you to carry out data analysis elsewhere. Differences Between a BI/Data Warehouse System and an OLTP System ? Level of detail: The OLTP layer stores data with a very high level of detail, whereas data in the Data Warehouse is pressed for highperformance access (aggregation). ? History: Archiving data in the OLTP area means it is stored with minimal history. The Data Warehouse area requires prehensive historical data. ?Changeability: Frequent data changes are a feature of the operative area, while in the Data Warehouse, the data is frozen after a certain point for analysis. ? Integration: In contrast to the OLTP environment, requests for prehensive, integrated information for analysis is are very high. ? Normalization: Due to the reduction in data redundancy, normalization is very high for operative use. Data staging and lower performance are the reasons why there is less normalization in the Data Warehouse. ?Read access: An OLAP environment is optimized for read access. Operative applications (and users ) also need to carry out additional functions regularly, including change, insert, and delete. There are fundamentally different demands on an OLTP system pared with a Data Warehouse/ BI (OLAP) system. It is therefore most advantageous to technically separate all aggregated reportingrelated demands made on the Data Warehouse from the OLTP system. Note: Developments in technology and specific business cases are blurring the lines between OLTP analysis tools and OLAP (BI tools). BI, for instance, has nearrealtime extraction tools, and SAP ERP Central Component (SAP ECC). can be installed along with the BI environment in the same box for smaller panies and special situations. 重慶 郵電 大學本科學生畢業(yè)設計 （論文）附件 附件 C：譯文 C13 SAP NetWeaver Business Intelligence: StateoftheArt BI Software As a core ponent of SAP Net Weaver, BI provides Data Warehousing functionality, a Business Intelligence plat form, and a suite of Business Intelligence tools that enable businesses to attain the maximum value from the information they collect. Relevant business information from productive SAP applications and all external Data Sources can be integrated, transformed, and consolidated in BI. BI provides flexible reporting and analysis tools to support you in evaluating and interpreting data, as well as facilitating its distribution. Businesses are able to make wellfounded decisions and deter mine targetorientated activities on the basis of this analysis. BI Suite/Business Explorer (BEx) The BI Suite containing the Business Explorer (BEx) provides flexible reporting and analysis tools targeted at both power users and end users. You can use these tools for strategic analysis and to support the decisionmaking process in your organization. These tools include query, reporting, and analysis functions. BEx enables a broad range of users to access BI information using the SAP NetWeaver Portal, intra/Inter (Web Application Design), or mobile devices (WAP or imodeenabled mobile telephones and personal digital assistants). Many analysis features are available。s petitors. Decision makers in modern, globally operating enterprises frequently realize that their survival depends on the effective use of this information. Unfortunately this information is often spread across many systems and sometimes many countries, thus makin g effective use of information extremely difficult. This is precisely the challenge that modern Business Intelligence systems attempt to meet. Extensive solutions are required to cover the entire process, from the retrieval of source data to its analysis. Enterprises must be concerned with metadata (business and technical attributes and descriptions of objects) across the enterprise as the core in building a warehouse. In addition, they need to consolidate and create homogenous global master data, as well massive amounts of transaction data in differing degrees of aggregation. The questions that analysts are asking now are much more sophisticated than those asked 20 years ago. This is because they know the data exists to answer these questions. As a result of the issues described above, information systems need to meet the following requirements made by decision makers: ?Immediate, singlepoint access to all relevant information, regardless of source ? Coverage of all business processes: crosssystem and crossprocess analyses are being increasingly important ? High quality of information, not only in terms of data content, but also in terms of the ability to flexibly evaluate data 重慶 郵電 大學本科學生畢業(yè)設計 （論文）附件 附件 C：譯文 C9 ? Highquality decisionmaking support: The BI system must support the requirements of both operative and strategic management。借助 BI 內(nèi)容 ，我們通過 網(wǎng)絡 或 Excel 不僅提供這些內(nèi)容，而且還提供數(shù)據(jù)庫模式、查詢和輸出，這能滿足典型項目 60% 到 90% 的需求。借助于 BI 內(nèi)容 ， SAP 根據(jù)一致的元數(shù)據(jù)交付預配置的基于角色和任務的信息模型與報表業(yè)務情景。支持以下設備： ? 裝有 Windows CE 和 Pocket Inter Explorer 的個人數(shù)字 助理 (PDA) ? WAP 啟用的移動電話 ? i 模式啟用的移動電話 ? 裝有 EPOC32 操作系統(tǒng)的移動設備（例如 諾基亞聊天器 9210） SAP 平臺 BI：數(shù)據(jù)倉庫層 重慶 郵電 大學本科學生畢業(yè)設計 （論文）附件