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Using JUSP and visualising data with PowerBI

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Presentation by Amanda Swann from Manchester Metropolitan University at the JUSP update and experience exchange workshop Thursday 13th July 2017.

Published in: Data & Analytics
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Using JUSP and visualising data with PowerBI

  1. 1. Amanda Swann, Manchester Metropolitan University Using JUSP and visualising data with PowerBI JUSP Exchange of Experience, July 2017
  2. 2. Overview • Usage statistics and JUSP at Manchester Met Library • What we do with usage statistics • Data visualisation (still a work in progress!)
  3. 3. Usage statistics at Manchester Met Library
  4. 4. Benefits of using JUSP • Saves time • Ease of use • Quality of reports • Support • Range of reports available - flexible
  5. 5. What do we use usage statistics for? Subscriptions review: Annual Renewals Exercise (ARE) SCONUL return Ad-hoc requests
  6. 6. Challenges • Time-consuming & labour intensive to collect all stats monthly • Large number of our suppliers not in JUSP • Difficult to bring all usage data together
  7. 7. Changes • Automated retrieval & SUSHI – still favour JUSP for this • Intota knowledgebase (Data Retrieval Service) • Analysis through Intota Assessment
  8. 8. Intota Assessment Example - JR1 report by subject area Over 18,000 rows of data in this report across suppliers
  9. 9. Benefits • Saves staff time downloading reports • Consolidates usage reports together • More time for analysis
  10. 10. Usage data visualisation
  11. 11. PowerBI • Provided by Microsoft as part of Office 365 suite of products • Business analytics and data visualisation tool • Can create interactive reports and visualisations • Reports can be shared • Web and desktop versions available https://powerbi.microsoft.com
  12. 12. Usage statistics overview
  13. 13. Visualisation of JUSP data – annual summary and titles with highest use
  14. 14. Turnaways analysis JR2 reports downloaded from JUSP and direct from publishers Titles with more than 10 turnaways added to master spreadsheet Manchester Met full text access coverage and faculty area added for top 200 titles Likely reason for turnaways decided
  15. 15. Visualisation of turnaway (JR2) data
  16. 16. New e-journals
  17. 17. What next? • More regular reporting using visualisations: • JUSP visualisations – top-level • PowerBI – analysis • Intota Assessment – collation of reports • Promotion of e-resources usage. • Better use of data for collection management
  18. 18. Discovery system usage data
  19. 19. Thank you

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