The Change from Data Warehousing to Business Intelligence: The Concept of Data Sources Dynamicity
| المصدر: | المجلة العلمية للدراسات التجارية والبيئية |
|---|---|
| الناشر: | جامعة قناة السويس - كلية التجارة بالاسماعيلية |
| المؤلف الرئيسي: | Darwish, Saad M. (Author) |
| مؤلفين آخرين: | Essa, Reham Moustafa (Co-Author) |
| المجلد/العدد: | مج11, ع2 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2020
|
| الصفحات: | 1067 - 1097 |
| DOI: |
10.21608/JCES.2020.119559 |
| ISSN: |
2090-3782 |
| رقم MD: | 1115637 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Business Intelligence | Data Warehousing | Data Mining | Dynamicity of Data Sources
|
| رابط المحتوى: |
عدد مرات التحميل
20
| المستخلص: |
The capacity to collate data and present information efficiently in real time and the ability to make it readily accessible to everyone has been a major catalyst for many organizations to embrace globalization and improve productivity. Companies are requiring more regular in-depth analytical review of the data within their repositories to have a better understanding of their business environment and competitiveness capability. The ability to generate valuable insights based on business data is termed business intelligence. The approaches to generate these insights are commonly the function of business analytics. Business analytics is the use of analysis techniques and decision rules to provide business users with critical insights of the operational and performance characteristics in every aspects of the business. Data sources dynamicity can be classified into data updates, schema and instance changes, and constraint modifications. Current data warehouse systems manage data updates. Yet, they cannot follow schema and instance changes and constraint modifications. This paper analyses schema and instance changes resulted from dynamically changing external data sources. We call for applying the external data source schema changes to a data warehouse.. Furthermore, the use of data warehousing and data mining techniques in business analytics and how they support the use of business intelligence in e-businesses are discussed. The distinction between data warehousing, business analytics and business intelligence is presented. Suggestions on how electronic businesses can leverage on data warehousing to enhance their competitiveness are discussed. |
|---|---|
| وصف العنصر: |
العدد الثاني. الجزء الثاني. 2020 |
| ISSN: |
2090-3782 |
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