Data Warehousing for Business Intelligence

Under the tabs above (Business Intelligence, Data Warehousing, Decision Support, etc.), this guide lists a number of sources you can use to research the various aspects of Data Warehousing for Business Intelligence.  

If you find that in some cases these sources or the "Information Resources" on this page (see left) don't answer all of your questions, you can always search for answers to those questions on the internet. However, selecting the best internet resources to support your research involves more than finding good content. There are several other factors you must also consider to make sure a resource is reliable and appropriate for your needs.  See the "Evaluating Resources" box (below) on this page to find the main criteria by which to evaluate internet resources.  It will help you look at potential sources more critically. Although the focus here is on evaluating internet sites, these criteria can apply to books, magazines and other sources as well. 

Lastly, before proceeding with your research please see the "Plagarism" box (below), which contains important information!

There is a lot of useful information online and in print. Some information comes from reliable sources, while other information does not. When deciding whether a resource is appropriate for academic research, evaluate it based on these qualities:

• Authority: are author's credentials included?
• Timeliness: when was the information published and last updated?
• Documentation: are references or bibliography included?
• Purpose and Audience: does the info intend to inform, persuade, present opinions, report research, or sell a product?
• Review Process: was there a review process?
• Suitability: does the source contain what you need? Do you understand the language used in the source?

For more information, see the Criteria tab on the Evaluating Sources guide.

Plagiarism is unacceptable in any academic environment.  Our learners come from many different academic backgrounds and many are unfamiliar with the academic standard for plagiarism. Therefore we ask that all learners review these guidelines, and follow them when submitting assignments. Failure to adhere to these guidelines will result in serious consequences, including removal from a course. Project submissions will be investigated if they are flagged or have activity related to repeated submissions for academic dishonesty. If an assignment is deemed have been submitted with any academic dishonesty, any credit toward a course grade for that assignment will be removed and the assignment’s grade will be permanently overridden to zero.