The Massachusetts Library System is pleased to announce that we have contracted with ALA to provide our members with access to their live webinars.  These webinars are free to MLS members who register through our calendar.  Please do not register directly with ALA. Members who register directly with ALA are responsible for paying their registration fee. 

Please help us keep MLS sponsored training free for all members. If you are unable to attend the live webinar, please cancel your registration. A cancellation link can be found in your confirmation email, or you may contact Sarah Donnelly at sdonnelly@masslibsystem.org to cancel. 

Description

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.

Learning Outcomes

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

Who Should Attend

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.

Accessibility Information

If you have questions or requests regarding accessibility, contact ce@ala.org or at 312-280-5100.