10. Analytics Lab Dashboards Pipeline
Release of c. 15 dashboards, 3 times per year covering insights such as:
Widening participation and social mobility
League table performance (CUG,THES,The Guardian)
Research benchmarking
Staff and student profiling (recruitment, retention, diversity, income, cost)
TEF, REF and BREXIT planning
Employability and destinations (undergraduate and post-graduate)
Library contributions and benchmarking
Dashboard example: League table data
All UK institutions complete work on comparison of league tables- CUG, THES,The Guardian (15 days a year per HEI).
Jisc and HESA are currently in the late stages of negotiation with league table providers for access to data for Analytics
Lab dashboards.
Centralised system would allow for considerable savings (162 institutions)
11. Use the dashboards; Heidi@hesa.ac.uk
Keep in touch;
https://business-intelligence.ac.uk/updates/
www.jiscmail.ac.uk/JISC-HESA-BUSINESS-INTEL
Get involved
Editor's Notes
Provide brief overview of HEIDI plus and analytics lab!
Heidi Plus is depicted on the left – highlight the trucks driving in to the HESA data warehouse. HESA mandates that all publicly funded HEPs provide performance data on students, destinations of leavers, staff, finance and estates. Currently an annual collection they are moving to more frequent in year collections. The data is cleansed and a new team undertake dashboard development. Quality is assured as the dashboards are offered throught the radio mast in the middle – a new national BI dashboard delivery service offered to all HESA customers (currently 180 HEPs and associated organisations and departments). Built with Jisc and launched as a HESA service in November. Includes legal framework and national training programme. Replaces a system with 6.5K users. Lowers the bar to usage through the interactive dashboards so could take BI to a woder range of staff than is currently possible.
Heidi Lab is depicted to the right. A Jisc led alpha July 15 – July 16. Highlight the trucks again and note it’s a two way street – a data sharing agreement allows HESA data into the Heidi Lab secure data processing environment. Agile analysis teams are created from multiple universities and given access. They identify commonly felt problems spaces, explore the wider national data landscape, acquire non-HESA data and cleanse, link and transform it creating new proof of concept dashboards. Highlight the trucksa driving from the Lab to the Radio Mast. Successful dashboards will be branbded produced by Jisc and delivered via Heidi Plus.
Piece in the middle is the beta service – what comes next – Heidi Plus is sustained by HESA as a service. We have proved there is real merit in Heidi Labs and will launch a beta service July 16 – July 17.
Brief overview of the contribution made by St Andrews (cross team, Product Owner, Developers)
new skills: Data manipulation software, data visualisation software, the Agile approach, Analytic Lab preparation
Networking and building longstanding and beneficial relationships
Translation back in to business operations (upcycling)
Agile approach
Reuse of the tools (basecamp)
Now able to speak the same language as our ICT specialists and BI Team; and vice versa for ICT colleagues who participated
The dashboards themselves (moving away from being data provision to data contextualisation
SCRIPT:
Focusing on the dashboards specifically, the proposed plan with the service would be to release 20 dashboards, 3 times a year (so 60 each year)
Example of the types of data and analysis these could cover include widening participation and social mobility, league table performance from Complete University Guide, Times Higher Educational Supplement and The Guardian, Research income benchmarking, Staff and student profiling, TEF, REF and BREXIT planning as well as employability and destinations of leavers (post graduate research)
Acronymns:
TEF= Teaching Excellence Framework
REF= Research Excellence Framework
CUG= Complete University Guide
THES= Times Higher Educational Supplement per HEI. This is based on evidence that shows that within an institution, if 5 analysts were each working on this, for each guide they may spend a day conducting analysis on each league table. This would amount to 15 days in total)