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Overview: Experian helps the University of Leeds streamline HESA data submissions
Experian helps the University of Leeds streamline HESA data submissions
With the introduction of Data Futures from HESA, the University of Leeds sought a data expert to partner with to support their returns process.
With more submissions required in year, and a more complex set of rules to deliver against, Experian were selected to help the University prepare for and execute their Data Futures returns.
Challenge overview
The HESA data return is a regulatory requirement for all Higher Education providers. Each year, HESA collect and review a wide range of student-level data, with late or low-quality submissions risking the institution’s funding and reputation.
Challenges
- Adapting existing data submission processes to meet the new Data Futures requirements
- Ensuring data accuracy and consistency to comply with the pre-defined HESA quality rules
View University of Leeds Profile
Company Bio:
Established in 1904, the University of Leeds is one of the UK’s largest universities.
They are part of the Russell Group and are renowned globally for the quality of their research and teaching. They contribute £1.3 billion to the UK economy per annum and have over 39,800 students.
| |
|---|---|
| Industry: | Higher Education |
| Established: | 1904 |
| Number of students: | 39,800 |
Solution overview
Using Experian’s Aperture Governance Studio, the University were able to profile their data against HESA and data quality rules, and compare their initial and final data to gain a better understanding of where there were process and operational data quality issues.
Aperture Governance Studio streamlined the University of Leeds' HESA data submissions. Find out how Experian can help data visibility and quality.
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Results
- Successfully profiled data against HESA rule, vastly improving operational data quality
- Successfully traced errors to source, ensuring that issues could be corrected early in the process
- Enhanced data maturity, delivering benefits for BAU and the HESA process
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