1. Library web statistics MnCn, Oct 9, 2007 Library Web statistics – true or false Morten Christoffersen Novo Nordisk Library

2. Library web statisticsSlide no 2MnCn, Oct 9, 2007 Agenda Why use web statistics? Our set-up and interpretation of data Findings; what we can extract from web statistics

3. Library web statisticsSlide no 3MnCn, Oct 9, 2007 Should you care? Is there anybody out there? or are you wasting money? What are they doing? using the expected services, following the expected paths? When is it used? 24/7 service needed? What is not used? pages that should be deleted/promoted?

4. Library web statisticsSlide no 4MnCn, Oct 9, 2007 Knowing is first step in improvement Statistical data are useful when preparing and maintaining a web site. Goal: Happy users! Thanks to Despair.com

5. Library web statisticsSlide no 5MnCn, Oct 9, 2007 Users – usage – usability Complementary Hints, NOT facts Daily contact mail, phone, etc. Usability tests observation Web statistics analyse

6. Library web statisticsSlide no 6MnCn, Oct 9, 2007 Purpose Monitor page usage Who is using us What is used When it is used Monitor navigational trends From where do users enter the site How do users navigate our site Measure impact of new pages/initiatives Monitor search engines (mis-)use of website Track popular pages

7. Library web statisticsSlide no 7MnCn, Oct 9, 2007 Our set-up Page examples Home made “statistics package” SQL tables, asp-code Web interface usage, users, click patterns over time Focus is mostly on set-up, not actual results

8. Library web statisticsSlide no 8MnCn, Oct 9, 2007 How do we relate numbers to users, usage, and usability? Users named users, not IP exclude search robots and system users Usage “real” clicks, not sessions, files or Mb reported by user/department and/or day/month trends and changes are important, not actual numbers! Usability promote most used services remove unused click patterns remove unused services

9. Library web statisticsSlide no 9MnCn, Oct 9, 2007 Novo Nordisk Library Serving the Novo group of companies Novo Nordisk, Novozymes, NNIT, NNE Pharmaplan, etc. All users are named and linked to internal phonebook 29.000 potential users, 79 potential contries The Library Web is the most used Intranet site

10. Library web statisticsSlide no 10MnCn, Oct 9, 2007 Library front page

11. Library web statisticsSlide no 11MnCn, Oct 9, 2007 Page example – Books

12. Library web statisticsSlide no 12MnCn, Oct 9, 2007 Page example – Consult us

13. Library web statisticsSlide no 13MnCn, Oct 9, 2007 Usage table Where WhoWhenSum

14. Library web statisticsSlide no 14MnCn, Oct 9, 2007 Navigation table From where To current pageWhoSum When

15. Library web statisticsSlide no 15MnCn, Oct 9, 2007 Saving user clicks Search engines they tend to be VERY active thus corrupting user trends Search pages create more clicks than browse pages be careful comparing number of clicks on different type of pages/services Back button-navigation is not counted 42% of all navigation Be careful when benchmarking web pages and websites and even more if they use different statistical software “most used”=?, “user”=?

16. Library web statisticsSlide no 16MnCn, Oct 9, 2007 Saving user data Be sure that you are allowed to store and utilise personal data! Be careful not to present personal data Limit access to raw data to a few system users, let Library staff see anonymous data only Do not use data to tell users how to behave, users have the right to click as they wish

17. Library web statisticsSlide no 17MnCn, Oct 9, 2007 Expected findings Entry users enters via the front page Most used search the Library catalogue Most active users scientists Usage most active users visit once or twice a week Navigational paths Intranet portal  Library Web  Catalogue etc.

18. Library web statisticsSlide no 18MnCn, Oct 9, 2007 Interface – analyse page usage

19. Library web statisticsSlide no 19MnCn, Oct 9, 2007 Interface – usage overview

20. Library web statisticsSlide no 20MnCn, Oct 9, 2007 Actual findings – who is using us? 14921 different users (52%) since January 1 st 10% most active users counts for 72% of all views 58 different countries (79 possible) Search engine very active 90%, now 30% of all views Internal SiteSearch, Google, SPS, amo. (excluded from data in this presentation)

21. Library web statisticsSlide no 21MnCn, Oct 9, 2007 Actual findings – How, where, when? Entry not only the front page Most used search the Internet Most active users scientists, but also production... everybody Usage most active users visit every day, even weekends Navigational paths bookmarks: Directly to services

22. Library web statisticsSlide no 22MnCn, Oct 9, 2007 Page example – Search the Internet

23. Library web statisticsSlide no 23MnCn, Oct 9, 2007 Wisdom of the crowd Our users are “everyone”, using different services use the specific service that helps them doing their tasks are very precise when navigating don’t browse the web site

24. Library web statisticsSlide no 24MnCn, Oct 9, 2007 Conclusion Web statistics know how to interpret your data part of the truth, if you focus on trends and changes false, if you focus on separate numbers Remember to use it actively and change you web site accordingly

25. Library web statisticsSlide no 25MnCn, Oct 9, 2007 Questions? Morten Christoffersen System Developer, PhD, Novo Nordisk Library mncn@novonordisk.com