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How Ometis gave Leeds University self-service data access

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Industry

Higher Education

Challenge

Leeds' Academic Planning team was "data rich, information poor" - users complained "there's no MI" while the IT response was "they don't know what they want."

Results

We delivered a dynamic tool allowing users to answer their own questions without report writing, plus error-spotting capabilities for operational data cleansing.

Key products

Qlik

Self
service reporting
Sub
second response times
Error
spotting capabilities
HESA
dataset improvements
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About University of Leeds

The University of Leeds is a Russell Group research university with over 37,000 students, making it one of the largest universities in the UK. Ranked in the top 100 universities globally, Leeds receives over 68,000 undergraduate applications annually and had an income of £1.05 billion in 2023-24.

The challenge

The University of Leeds described itself as "data rich, information poor." Users consistently complained "there's no MI" while the technical response was "they don't know what they want."

The Academic Planning team needed to produce more with less, respond quicker, and enable users to help themselves. They required a rapid application development tool, information dissemination and presentation capabilities, and something simple to deploy and maintain.

 

The solution

We helped Leeds University implement QlikView to address their management information challenges. The solution focused on putting analytical power directly into users' hands rather than creating more technical barriers.

 

The results

Leeds benefited from a dynamic tool allowing users to answer their own questions without report writing. They established an environment enabling new information discovery.

The implementation included rewriting aging intranet applications, moving away from slow development methods using HTML, JavaScript and ASP. They use QlikView for error-spotting, operational data cleansing, and HESA dataset checks.

Future plans include expanding to other datasets covering money, staff, research, and balanced scorecards.

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