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HESA and Jisc business intelligence

Business intelligence for higher education

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Page 1: Business intelligence for higher education

HESA and Jisc business intelligence

Page 2: Business intelligence for higher education

HESA and Jisc Business IntelligenceJisc Digifest 2017

Page 3: Business intelligence for higher education

Myles Danson (Jisc) Laura Knox (University of St Andrews)

Presenters

Page 4: Business intelligence for higher education

Overview and service offer (Myles) Demo of dashboards  (Laura) Benefits of taking part (Laura) Dashboard release pipeline (Myles) Get involved (Myles)

Content

Page 5: Business intelligence for higher education
Page 6: Business intelligence for higher education

Potential new serviceD

eliv

ery

of in

sigh

tsAnalytics Lab & new dashboards. Jisc and HESA collaboration: Developed to enhance current Heidi Plus with new dashboards; utilising wider data sources to increase the insights on offer:

Covers HESA data & non HESA data e.g. school performance, poverty/wealth, geolocation, population, equality.

Improved analysis & interactive functionality.

Dashboard portfolio regularly refreshed. Greater depth of insight to answer

common business questions. Free taster of dashboards is available on

Heidi Plus currently.

New dashboards & Delivery1.

Staff

de

velo

pmen

t (C

PD)

2. Working with Jisc and HESA

members. "Dashboards for the sector, by the sector“.

Individuals join Analytics Lab development teams (12 days) to help build dashboards.

Work to answer key question institutions want answering.

Staff CPD; Supported use of data manipulation & visualisation software, the Agile approach, Analytics Lab preparation

Analytics Lab Dashboard Creation Team

Data Service3. Institutions able to acquire data

from the service to conduct their own analysis.

4.Bespoke Dashboard Creation

Oth

er S

ervi

ce

Bespoke dashboard development specific to your institutional needs.

Oth

er S

ervi

ce

Page 7: Business intelligence for higher education

Demo – published dashboards

Page 8: Business intelligence for higher education

Demo – published dashboards

Page 9: Business intelligence for higher education

(the “swankey Sanky”)Demo – R&D dashboards

Page 10: Business intelligence for higher education

Demo – R&D dashboards

Page 11: Business intelligence for higher education

Staff CPD

Investing in the Sector

‘Upcycling’

Institutional perspectiveBenefits of taking part

Page 12: Business intelligence for higher education

Use the dashboards; [email protected] Join a team Governance / manage the portfolio Keep in touch;

https://business-intelligence.ac.uk/updates/  www.jiscmail.ac.uk/JISC-HESA-BUSINESS-INTEL

Get involved

Page 13: Business intelligence for higher education

Reference slides for likely questions follow

Page 14: Business intelligence for higher education

Dashboards pipelineRelease of c. 20 dashboards, 3 times per year covering insights such as: Widening participation and social mobility League table performance (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)

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)

Page 15: Business intelligence for higher education

Benefits

Savings

SAVE TIME & MONEY

DO THINGS BETTER

MAKE MONEY

UNIQUE OFFERTimely data acquisition & dashboard development from one single organisation.

Jisc and HESA’s combined negotiation power opens up access to new data.

Team based & sector focussed dashboard development not found elsewhere.

Time: Dashboards developed so you don’t have to (estimated 200 hrs per HEI could be saved).

Time: Data identification, acquisition, cleaning & licencing.

Time: Access to our technical environment (software, service delivery to develop & receive dashboards).

Money: Centralised acquisition + manipulation of data. (current cost HEIs buy data on employment circa £20,000 pa).

Money: Centralised creation & delivery. Reduced legal, procurement, service delivery, software licensing, staff training through (competitor price £1,000 per dashboard + hosting fees- increased depending on number of users).

Money: Continuing Professional Development (CPD) savings. Participants gain new skills.

Enhance your student recruitment, retention & employability activities.

Increase your chances of research funding.

Redirect your in-house expertise to more strategic institutional objectives.

Collaborate with peers across the sector.

Page 16: Business intelligence for higher education

Current cohort

Running January – April 2017 5 cross-institutional teams working on developing dashboards and visualisations on range of areas, including: Research student journey Brexit planner REF planner Employment prospects related to course Fee income streams by student type Benchmarking of key financial indicators Staff profiling

Page 17: Business intelligence for higher education

Next cohort - applications received from...

Arts University Bournemouth UCL University of Lincoln

Birmingham City University Ulster University University of Liverpool

Brunel University London University of Bath University of Northampton

Conservatoire for Dance and Drama University of Brighton University of Reading

Coventry University University of Cambridge University of Salford

Edge Hill University University of Central Lancashire University of Sheffield

Glasgow Caledonian University University of Edinburgh University of Stirling

Goldsmiths, University of London University of Exeter University of Strathclyde

King's College London University of Glasgow University of Winchester

Middlesex University University of Gloucestershire University of Wolverhampton

Robert Gordon University University of Hertfordshire University of York

Sheffield Hallam University University of Leicester

Page 18: Business intelligence for higher education

Participation from the sector - to dateUniversity of Aberdeen University of Leeds Oxford Brookes University

Anglia Ruskin University Leeds Beckett University Plymouth University

University of Bath London South Bank University University of Reading

Birkbeck University of London Loughborough University Royal Holloway University of London

Bishop Grosseteste University King's College London University of St Andrews

University of Cambridge Kingston University St Mary's University, TwickenhamBrunel University London University of Leicester University of SalfordCardiff University University of Liverpool Sheffield Hallam University

Coventry University Liverpool John Moores University University of Southampton

De Montfort University University of Manchester Southampton Solent University

Durham University Manchester Metropolitan University University of South Wales

University of East London Middlesex University University of SunderlandUniversity of Edinburgh Newcastle University Swansea UniversityUniversity of Glasgow Northumbria University University of Wales Trinity Saint David

Glasgow Caledonian University University of Nottingham University of Warwick

University of Gloucestershire Open University University of WestminsterUniversity of Kent University of Oxford University of Wolverhampton

Page 19: Business intelligence for higher education

ID Name Release Date

1 Destinations of Leavers in Higher Education Explorer (DLHE)

Dec 17

2 Multi DLHE Explorer Dec 17

3 Higher Education Business and Community Interaction Survey Part B Explorer

Dec 17

4 Athena Swan Dec 17

December 2017 release•December 16 dashboard release (total 4)available to use now

 

Page 20: Business intelligence for higher education

April / May 2017 release (draft)•December 16 dashboard release (total 4)available to use now

 

ID Name Release Date

5 University research benchmarking Apr 17

6 Finding comparable providers Apr 17

7 League table 1 (subject to reaching agreement with league table compilers)

May 17

8 League Table 2 (subject to reaching agreement with league table compilers)

May 17

Page 21: Business intelligence for higher education

July 2017 release•December 16 dashboard release (total 4)available to use now

 

ID Name Area Date9 School finder Student July 1710 Local authority finder Student July 1711 Single HEI comparison by FTE July 17

12 Swanky Sankey PGR July 1713 Dashboard entrants to HE Student July 1714 Heidi accreditation assistant July 17

15 Benchmarking user satisfaction levels with library facilities

Library July 17

16 Space Analysis v footfall & satisfaction

Library July 17

17 SCONUL Key Performance Indicators

Library July 17

18 Teaching Excellence Framework NSS Explorer

Library July 17

19 - 34 From Jan – Apr cohort (subject to there being 15 dashboards from this cycle that are suitable)

Mix July 17

Page 22: Business intelligence for higher education

> >Slide

jisc.ac.uk

Myles DansonLaura Knox

03/05/2023

HESA and Jisc business intelligence22