A Realistic Data Warehouse Project: An Integration of Microsoft Access[R] and Microsoft Excel[R] Advanced Features and Skills.
Reads0
Chats0
TLDR
The purpose of this paper is to provide an overview of how to construct a realistic data warehouse using numerous advanced features available in Microsoft Access and Microsoft Excel.Abstract:
Business intelligence derived from data warehousing and data mining has become one of the most strategic management tools today, providing organizations with long-term competitive advantages. Business school curriculums and popular database textbooks cover data warehousing, but the examples and problem sets typically are small and unrealistic. The purpose of this paper is to provide an overview of how to construct a realistic data warehouse using numerous advanced features available in Microsoft Access and Microsoft Excel.read more
Citations
More filters
Journal ArticleDOI
Ontology-based structured web data warehouses for sustainable interoperability: requirement modeling, design methodology and tool
TL;DR: A methodology for designing data warehousing applications from various sources based on ontologies, which reduces most important types of conflicts that may exist in sources and requirements and facilitates the sustainable urbanization of the target data warehouse.
Journal ArticleDOI
A Tools-Based Approach to Teaching Data Mining Methods
TL;DR: A data mining course in an Information Systems program has an analytical component, a tools-based, hands-on component, and a rich collection of data sets, and the application of mining models for decision support and prediction.
Building Data Warehousing and Data Mining from Course Management Systems: A Case Study of FUTA Course Management Information Systems
TL;DR: In this paper, the authors present the benefits of data warehouse and to sensitize companies in Nigeria to start building these facilities into their enterprise resource management systems with the aim of making effective business decisions that will promote the rapid growth of the companies.
Dissertation
Ensemble Learning Techniques for Structured and Unstructured Data
TL;DR: HONORS and AWARDS 2012: R. B. Pamplin Doctoral Fellowship from IBM Academic Initiative for IBM SPSS Modeler Premium software.
Journal ArticleDOI
Design and Delivery of Technical Module for the Business Intelligence Course.
Shouhong Wang,Hai Wang +1 more
TL;DR: The pedagogical design and the delivery method of a practicable technical module for a nontechnically oriented Business Intelligence course is presented and preliminary student feedback has indicated the usefulness of this technical module.
References
More filters
Book
Database systems : design, implementation, and management
Peter Rob,Carlos Coronel +1 more
TL;DR: This text provides the most comprehensive, detailed, and clear coverage of database basics, with ample exercises and problems at the end of each chapter to encourage hands-on learning.
Book
Modern Database Management
TL;DR: Reacting to the current business environment, Modern Database Management, 6/e addresses current issues in the market, such as Internet, data warehousing and object-orientation, to understand the role of database management within a business.
Book
Introduction to Business Data Mining
TL;DR: This paper presents a meta-modelling architecture for data mining that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing data mining techniques.
Book
Intelligent Decision Support Methods: The Science of Knowledge Work
Vasant Dhar,Roger M. Stein +1 more
TL;DR: Information systems - past, present, and emerging the determinants of intelligence density data driven decision support evolving solutions - genetic algorithms simulating the brain to solve problems - neural networks putting expert reasoning in a box - rule-based systems dealing with linguistic ambiguity.