Small data, small steps: Lessons from assessing the Investment Studio
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The document presents findings from a study assessing the investment studio at Singapore Management University, outlining phases of investigation into user behavior, space usage, and recommendations for improvements. Key insights reveal collaboration trends among users, popular usage times, and a need to enhance database visibility and technology support. Future plans include space redesign and ongoing assessment of resources to adapt to user needs.
Small data, small steps: Lessons from assessing the Investment Studio
- 1. SMU Classification: RestrictedSMU Classification: Restricted Small Data, Small Steps: Lessons from assessing the Investment Studio Low Jiaxin Research Librarian, Business Singapore Management University Presented at APBSLG Conference, May 2019
- 2. SMU Classification: RestrictedSMU Classification: Restricted Background & Motivations Before renovation After renovation
- 3. SMU Classification: RestrictedSMU Classification: Restricted Background & Motivations After renovation
- 4. SMU Classification: RestrictedSMU Classification: Restricted Background & Motivations Phase 1: 2017 - Investigate usage of space, equipment and resources - Study user behavior - Find out ways to improve user experience Phase 2: 2018 - Investigate changes in usage volume and patterns and user behaviour since first study - Improve user experience Phase 3: 2019 - Assessment of Bloomberg subscription
- 5. SMU Classification: RestrictedSMU Classification: Restricted Methodology Mixed methods Qualitative methods: - Observation - Journey mapping - Interview with users Quantitative methods: - PC Booking system statistics - People Counter statistics - Gate Count statistics (card entries)
- 6. SMU Classification: RestrictedSMU Classification: Restricted Summary of Findings Observation & journey mapping - Collaboration: pair/group work - Movement between terminals - Usage of personal laptops in addition to terminals Interview - Students from Investment Club: usually learn about databases from seniors - Faculty: SMU undergraduate education is geared towards course work, not research, thus less exploration on databases
- 7. SMU Classification: RestrictedSMU Classification: Restricted Summary of Findings Statistics - Peak period in semester: before assignment due - Peak period in a day: late afternoon - Most popular terminals: Bloomberg
- 8. SMU Classification: RestrictedSMU Classification: Restricted 2018 Recommendations Little to no $ cost involved: - Promote databases (especially those with certifications) to postgraduates and younger cohort - Increase visibility of databases - Continue to engage students - Continue to engage faculty, demonstrate value of library Involving budget: - Remove outdated or rarely used technology from Investment Studio - Install instructional technology to facilitate teaching Long-term: - Redesign space
- 9. SMU Classification: RestrictedSMU Classification: Restricted Lessons and going forward… Lessons: - Importance of qualitative data - Design and intent versus user behavior - Changing user behavior versus adapting - Agile response and finding quick wins versus looking at all possibilities - Small increments versus total overhaul Ongoing works and project: - Refurbishment of Investment Studio (26 May – 2 May 2019) - Assessment of Bloomberg subscription (by June 2019) Michigan State University
- 10. SMU Classification: RestrictedSMU Classification: Restricted Thank you