Skip to Main Content

Gabelli Sophomore Consulting Challenge (CCIP): 1 - Company Profile (Mergent Online)

This guide has been created for students enrolled in the Gabelli Sophomore Consulting Challenge course. It is designed to supplement the submission assignment handouts and course blackboard content.

Why research?

Developing a strong knowledge of core business information sources will help prepare you for a successful career in business.  If you take the time to learn how to search efficiently and effectively, to exercise discretion when using text and data, and to cite the sources you use, you will earn the respect and trust of your professional associates. 

Research Tips For Your Team

TIPS

  1. Divide the workload and create a shared workspace (Google Drive)
  2. Plan time to research, read, and take notes
  3. Meet with your team, share and discuss your findings, and select the BEST information for your deliverables
  4. Collect citation information at the same time that you collect your sources. If you use computer-generated content or citations, check for accuracy.

Activity : Mergent Online Report Builder - Comparison Report

Complete this activity after the library instruction session.

Submit one report (Excel file) for the entire team.

The name of the Excel file you upload to Blackboard should be Cohort_CompanyName. 

The Excel file should have three sheets: 

  • Sheet 1 is the Mergent Comparison Report, Compare Company Against Industry
  • Sheet 2 is the Mergent Comparison Report, Compare Company Against Custom Group
  • Sheet 3 is a paragraph on why the reports are useful or not useful. If they are not useful, explain how they might be improved.

Upload your team report to your CCIP Blackboard site by Sunday, February 4, before midnight (no later than 11:59 pm).

Guide to Business Databases Chart

Mergent Online - Basic Search

The Mergent Online database provides a company profile that is easy to locate and read.

Before you start researching, make sure you know:

  • the correct spelling of your company name
  • if the company is public, private, parent, or subsidiary
  • the ticker of your company

A company profile will tell you the company's primary SIC and NAICS codes, as well as the industry name.   

Image of the Mergent Online database with a red box around the Basic Search tab, a red box around the Company Search box, and a red box around the Go box, indicating that the researcher should click on the Basic Search tab, type the ticker symbol or company name into the Company Search box, and then click on the Go box.

Image of the Mergent Online database with a red box around the Basic Search tab, a red box around the Company Search box, and a red box around the Go box, indicating that the researcher should click on the Basic Search tab, type the ticker symbol or company name into the Company Search box, and then click on the Go box.

Mergent Online - Company Profile

Image of the Coca-Cola Company profile in the Mergent Online database with a red arrow pointing to the SIC and NAICS codes, and a red box around the Report Builder tab.

Image of the Coca-Cola Company profile in the Mergent Online database with a red arrow pointing to the SIC and NAICS codes, and a red box around the Report Builder tab.

Industry Competitors - Using NAICS or SIC to Identify

Classifying Companies By Industry (NAICS and SIC)

Most business databases list competitors based on NAICS and/or SIC codes; use the links below to find out more about these codification systems.

Activity: Search the NAICS and SIC databases for the same keyword and compare your results. (This does not need to be submitted.)


Interested in taking a deeper dive? Consider this article about using AI to overcome the shortcomings of traditional industry classification.

Kim, D., Kang, H., Bae, K., & Jeon, S. (2022). An artificial intelligence-enabled industry classification and its interpretation. Internet Research, 32(2), 406-424. https://doi.org/10.1108/INTR-05-2020-0299 (authentication with your Fordham Access IT username and password required)

Shortened Abstract: To overcome the shortcomings of traditional industry classification systems such as the Standard Industrial Classification Standard Industrial Classification, North American Industry Classification System North American Industry Classification System, and Global Industry Classification Standard Global Industry Classification Standard, the authors explore industry classifications using machine learning methods as an application of interpretable artificial intelligence (AI).

Reference & Instruction Department

Reference & Instruction Department
Fordham University Libraries


Walsh Library  ♦  Rose Hill Campus  ♦  718-817-3586   
Quinn Library  ♦  Lincoln Center Campus  ♦  212-636-6050   
Fordham Westchester Library  ♦  Fordham Westchester Campus  ♦  914-367-3061 

library@fordham.edu   ♦   text 71-TXTX-1284 ♦ 
Ask a Librarian (Chat)