IS428 AY2019-20T2 Assign LIM PAO LING RACHEL PerformanceFactors

From Visual Analytics for Business Intelligence
Jump to navigation Jump to search

SMU Library Dashboards

Overview

 

Overall Statistics

 

Importance Factors

 

Performance Factors

 

Recommendations

Performance Overview.png

A diverging chart is used to depict the likert scale type of data that deals with the rating of the how important the factor is to the respondents. The 4 main factors groups pertain to the Information Resources provided by the library, the Communication between the library and respondents, the Facilities & Equipment provided by the library and the service delivery of the library. The ratings range from 1 to 7 with 1 being the least important and 7 being most important. In addition to the respondent group filter buttons, a library type filter button is added to provide a personalised view between KGC library and LKS library scaled ratings.

For each respondent group observation, the order of categorised performance factors will be explained based on the diverging chart and each performance factor category, each sub-factor that has the greatest negative count would be selected for analysis. The red bars represent the percentage proportion of negative ratings, in this case the higher the percentage of negative ratings, the poorer the performance of the factor.


Observations
Performance KGC.png

Performance Factors - KGC Library text


Performance LKS.png

Performance Factors - LKS Library text


Performance UG.png

Performance Factors - Undergraduates text

Performance PG.png

Performance Factors - Postgraduates

text

Performance Faculty.png

Performance Factors - Faculty

text

Performance Staff.png

Performance Factors - Staff

text

Insights