MMPA 2024-12M Integrated Case Competition

It's important to evaluate the quality of all the information you find, even content from name-brand providers like Bloomberg. 

While almost all numeric data provided by databases available in the FLC and through the library can be trusted, other content - like company and industry reports & analysis, or company and industry news - should be reviewed carefully.  If you are using materials from the Web, this is even MORE important.

Think about the following:

• Expertise:  Does the author(s) or individuals cited (in case of an article) have any industry, subject or technical expertise?
• Bias:  Is there a particular agenda or perspective that is being advocated that is not supported by the data or facts?  How neutral or independent is/are the author(s)?
• Discrepancies:  Does the headline match the facts or data being referenced?
• Date:  How current is the content?
• References:  Does the content cite or appropriately reference the data that it uses?
• Reputation:  Some sources over time have a reputation for credible, insightful analysis - does the source you are using have this reputation?
• Methodology:  Do the models, surveys or other studies conducted explain the methodology used?  What assumptions do they make?  If sampling is involved, is the sample size and construction appropriate? 

Material you find on the Web can often be high-quality - but sometimes it can be biased, inaccurate, incomplete or out-of-date.  Use these two resources below to help you evaluate the information you find on the Web.