突尼斯国家社会保障基金数据仓库的构建
Building a Data Warehouse for National Social Security Fund of the Republic of Tunisia
摘要：
考虑到网络可用性、低成本存储和应用程序的多样性，决策者可用的数据量越来越重要。为了最大限度地发挥这些数据在突尼斯国家社会保障基金内的潜力，我们建立了一个数据仓库，作为一个多层面的数据库，经过清理、同质化、历史化和合并。我们使用Oracle Warehouse Builder通过应用KDD过程来提取、转换和加载源数据到数据仓库中。我们已经实现了数据仓库作为一个Oracle OLAP。知识提取是使用Oracle Discoverer工具进行的。这使用户能够最大限度地利用知识作为定期报告或临时查询。我们首先实施了这一公共机构的主要课题，即对被保险人的流动情况进行统计。这项工作完成后取得的巨大成功鼓励了全国社保基金在全国社保基金内完成其他感兴趣的专题。我们建议在不久的将来使用多维数据采掘来提取隐藏的知识，不能预测的OLAP。
英文摘要：
The amounts of data available to decision makers are increasingly important, given the network availability, low cost storage and diversity of applications. To maximize the potential of these data within the National Social Security Fund (NSSF) in Tunisia, we have built a data warehouse as a multidimensional database, cleaned, homogenized, historicized and consolidated. We used Oracle Warehouse Builder to extract, transform and load the source data into the Data Warehouse, by applying the KDD process. We have implemented the Data Warehouse as an Oracle OLAP. The knowledge extraction has been performed using the Oracle Discoverer tool. This allowed users to take maximum advantage of knowledge as a regular report or as ad hoc queries. We started by implementing the main topic for this public institution, accounting for the movements of insured persons. The great success that has followed the completion of this work has encouraged the NSSF to complete the achievement of other topics of interest within the NSSF. We suggest in the near future to use Multidimensional Data Mining to extract hidden knowledge and that are not predictable by the OLAP.
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