Example avatars of University of Southampton related twitter accounts
Twitter is an excellent way to keep up to date with friends, organisations, and those who share common interests and passions. It’s also a great way to find out what is going on in and around the University. Wouldn’t it be great if there was an easy way to find out all the twitter accounts related to the University of Southampton?
We love data here in MLE. We already release the workstation availability data used by open data and use even more open data in apps like MySouthampton. Last week we released a different type of information.
Panopto has some detailed statistics within it. If you are an instructor on a course you can see some detailed graphs for your videos using the Stats button (http://support.panopto.com/documentation/video-management/viewing-folder-statistics), but until now it’s been difficult to see how the entire service has been performing. Last week we released daily statistics for views, unique viewers and hours viewed for the entire site going back 5 years. More
Students and staff will find the MySouthampton and Blackboard Mobile Learn applications improve their experience and save time. Right now at the University we are joined by Pre-sessional Students, who are international students planning to come to the UK for undergraduate or postgraduate study at the University. The details in this guide are particularly useful for Pre-sessional Students right now, but are also useful to all other students and staff at the University.
Google Analytics (GA) is turned on within a number of MLE sites including Blackboard and Panopto. In the interest of openness we will share a number of pieces of analytical data with the community. Note that some data is from a smaller sample size and may not reflect 100% of users.
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iSolutions uses ITIL processes as part of its Service Management. We organise our processes in a way informed by ITIL, and provide reports on how well we met our stated aims. The main way that our users interact with us is through the Incidents and Service Requests they raise via ServiceLine. We have targets to resolve 90% of Service Requests and Incidents within a set target time measured in elapsed minutes.