Case Study
Case Study
Case Study
Data & AI Engineering
Data & AI Engineering
Data & AI Engineering
Case Study
Data & AI Engineering
Case Study  |  3 min

How a University Transformed Its Data Strategy with Enfuse Group

Published
September 26, 2025
Author
Phil Husbands
Tags

The university aimed to prioritise data driven decision making but lacked direction. Our assessment provided clear steps and revealed key gaps to guide their journey.

Highlights

  • Provided the insight to invest in the right things at the right time
  • Provided a clear and objective view of the right courses of action to move forward
  • Aligned leadership around the data gaps & opportunities​
  • Set path towards single view of a student​

Background

The University understood the need to move from being data-busy to data-driven and wanted to better understand their data capability maturity and the gaps within it.​ Through understanding these gaps, plans could be put in place to address focus areas.​ The University also recognised it lacked holistic views of its data flows across the university and wanted to gain better visibility – for example a single view of the student data.

Challenge

The University was seeking to better understand its current data capability and where gaps may exist in order to help drive the University’s emerging Digital Strategy. However, they were managing multiple priorities without a clear structure, hence we stepped in to provide support.

The Enfuse Approach

We used our proprietary Data Strategy Framework (4dDX) to provide a rapid maturity assessment of the University’s data capability​​. Our framework highlighted where to focus data investments to ensure they are made in areas and in ways that drive value and reduce costs. Specifically, it provided the university with interactive analysis of data capability maturity, insights and recommendations on how best to close any data capability gaps and ensure data investments provide a clear ROI.

To achieve this, firstly, we arranged workshops with key university stakeholders to capture current state of data across the institution. This helped gained an understanding of the university’s strategic goals and the role data needs to play in supporting them.

Consequently, we identified a roadmap of prioritised improvements to undertake the drive data value.​​ A subsequent phase of work capturing and ‘cataloguing’ the current data landscape was planned.

Impact

  • Detailed Maturity Assessment across 140 data facets, 21 capabilities, and 4 data dimensions​
  • Aligned leadership around the data gaps & opportunities​
  • Moved mindset from data-busy to data-driven​
  • Set path towards single view of a student​

Ready to transform your organisation from data-busy to data-driven?
Let’s chat about how our Data Strategy Framework (4dDX) can unlock a better understanding of what and where the data strengths and weaknesses are.

Contact Phil Husbands to get started.

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