Program Type:
Webinar- Registration is available for this event.
- Registration will close on January 19, 2026 @ 12:00pm.
Program Description
Event Details
*Please note that enrollment in learning events for FY 25-26 is contingent on available funding.
*Due to limited funding all library workers are limited to 2 course enrollments through CALL annually.
Are you interested in new approached to Strengths, Weakness, Opportunities & Threats (SWOT) analysis?
In this session we will reimagine data collection and interpretation for strategic insights. Leverage non-traditional data sets and emerging technologies such as Environmental, Social and Governance (ESG) reporting, sentiment scores and AI financial transcript mining techniques.
For example, ESG reporting provides organizational performance metrics that extend beyond traditional financial indicators. Social sentiment scores offer additional insights into organizational perception, brand resilience, and potential strategic vulnerabilities. AI-powered financial transcript mining techniques uncover patterns and strategic implications that conventional analysis might overlook.
By the end of the webinar, the participants will be able to:
- Explain sources of ESG data sets and applications for strategic analysis
- Describe sentiment data and its use cases for SWOT
- Apply transcript mining techniques using AI tools
Academic librarians, corporate and research librarians, public librarians, government librarians, and students who conduct business research will find this a useful complement to traditional SWOT research techniques.
Presenter:
Michele Costello, is an Assistant Professor and Business Librarian at Baruch College of The City University of New York.
CALL Training Partner for this Event: American Library Association
Track: Data, Business Research
Additional Information
Enrollment Statement
I understand that a space will be reserved for me in this learning opportunity at a cost to CALL, and if I am unable to attend this learning opportunity, I will cancel my enrollment as soon as possible and before the start date.
Single Enrollment Disclaimer
I understand that I can register for only one course at a time (no concurrent courses). If I do not attend this course, I understand that I may forfeit the opportunity to enroll in additional CALL courses during this fiscal year.