Data Quality: A Prerequisite for Succesful Data Warehouse Implementation
نویسندگان
چکیده
1. The University of Ljubljana is the largest university in Slovenia. It consists of 26 member institutions (20 faculties, 3 academies, and 3 colleges) and has more than 40,000 students. In the past, the member institutions had substantial autonomy regarding the usage of information technologies, which led to uncoordinated development of their information systems. Different applications were developed for the same purpose and due to this heterogeneity it is very difficult or even impossible to create reports that require cross-referencing data from different institutions or application areas.
منابع مشابه
Incremental Data Quality in the Data Warehouse
The data warehouse is the cornerstone for the production of business knowledge in the organization. The foundation of the quality of the business knowledge is the quality of the data in the data warehouse. Determination of dimensions of data quality in the data warehouse has been obtained through the intuitive, the empirical and the ontological approaches. The first point of this working paper ...
متن کاملارائه مدل تلفیقی برای ارزیابی آمادگی سازمان ها جهت پیاده سازی سیستم انباره داده با استفاده ازتحلیل سلسله مراتبی
Enterprise Data Warehouse initiative is a high investment project. The adoption of Data Warehouse will be significantly different depending upon the level of readiness of an organization. Before implementation of Data Warehouse system in a firm, it is necessary to evaluate the level of the readiness of firm. A successful Data Warehouse assessment model requires a deep understanding of opportuni...
متن کاملRepository Support for Data Warehouse Evolution
Data warehouses are complex systems consisting of many components which store highlyaggregated data for decision support. Due to the role of the data warehouses in the daily business work of an enterprise, the requirements for the design and the implementation are dynamic and subjective. Therefore, data warehouse design is a continuous process which has to reflect the changing environment of a ...
متن کاملAn ETL Metadata Model for Data Warehousing
Metadata is essential for understanding information stored in data warehouses. It helps increase levels of adoption and usage of data warehouse data by knowledge workers and decision makers. A metadata model is important to the implementation of a data warehouse; the lack of a metadata model can lead to quality concerns about the data warehouse. A highly successful data warehouse implementation...
متن کاملFactors Affecting Implementation of Data Warehouse
Over the past decade, we have witnessed a proliferation of data warehouse. This study empirically examined the effects of thirteen factors on the extent of data warehouse implementation. Several hypotheses were set up to identify the relationships among these variables. And the survey instrument(questionnaire) was developed to collect data. Ultimately 183 questionnaires from 61 Korean firms wer...
متن کامل