The Purpose of Data and AI Consultants in HE
Universities are world-leading in research and innovation, yet operational data environments often lag behind. Back-office systems, reporting structures, and governance models haven’t always kept pace, meaning the institution can’t manage itself with the same sophistication it applies to research.
With our focus on building data cultures and AI capabilities, unis can bridge the gap. Move away from manual processes and establish better governance to realise the true potential of your data. Instead of adopting AI for the sake of it, we help you answer ‘where do we start?’ to make sure you get value from advancing technologies.
Strengthen student outcomes, meet regulatory obligations, and respond to the changing market with our data and AI consulting expertise.
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“Education, research and the public sector are experiencing rapid change and rising expectations. Leaders with responsibility for data strategy, AI or institutional transformation are tackling a range of diverse but related challenges across the country.”
Heidi Fraser-Krauss, Chief Executive of Jisc
From Data Delays to Decisive Action
Faster time to insight means faster decision-making. Data is crucial for universities to react to pressures like fees, the cost of living, and the graduate market. By shrinking reporting cycles from months to days (or even minutes), we make sure your institution can adapt and respond with confidence.
Oakland helps you manage data for:
- Student acquisition and retention
- A single view of the student
- Regulatory compliance and mandatory reporting to bodies (like the OFS and Data Futures)
- Lifelong learning
- AI adoption
Our Data & AI Services for Higher Education
All of our HE consulting work has three core themes at its core: student outcomes, research excellence, and operational efficiency.
Data Platforms that Work With You
Legacy systems and manual data extraction create bottlenecks and missed opportunities. With the right data platform, universities can move from reactive reporting to real-time intelligence. Using familiar MS technologies like Power BI and Fabric, we build platforms that provide predictive modelling across the full student lifecycle. By enabling proactive intervention, you can improve student success, protect student numbers, and reduce attrition before it impacts outcomes.
Our Data Platform services
Data & AI Strategies for Success
Higher education institutions hold richer datasets than they realise. But with data often in siloed systems, value is locked away. By freeing data, we shift it from an administrative requirement to a strategic asset – and develop your data estate into essential foundations for custom AI technologies.
Learn about Data Strategy
Data Governance and Management
Our specialists turn data into robust, well-governed datasets to simplify compliance and strengthen confidence for reporting to bodies such as the OfS (Office for Students). We turn reporting into a by-product of strong data foundations, not a standalone burden.
Explore Data Governance
Our Work
Our People
Meet the data engineers, business analysts, and project managers who specialise in HE at Oakland Everything Data.
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Data and AI consultancy starts with a conversation. Call our friendly team on +(44) 113 234 1944 or complete the form below and we’ll be in touch soon.
Higher Education FAQs
What’s the biggest challenge to AI adoption in HE?
In our eyes, there’s a real appetite for HE institutions to start doing ‘something’ with AI. But AI without the right foundations is a recipe for disaster. Unless data is clean, structured, and well-governed, even the most advanced tools will struggle to deliver value. Rushing into solutions without preparing the data estate leads to underutilised technology and frustrated teams, which aren’t particularly appealing.
How does data enhance lifelong learning models?
Universities can no longer rely on traditional three-year degrees alone. Apprenticeships and modular learning are on the rise. To position themselves as leaders in this shift to lifelong education, institutions need more flexible, granular and responsive data capture. Those who modernise their data capabilities are best positioned to thrive in this evolving landscape.
What data barriers exist in HE?
Several barriers to advancing data and analytics exist in higher education. They include:
- Legacy technology: HE is rich in data, but information poor. Outdated systems with trapped data are a leading cause of this issue. Migrating from a legacy to a modern system requires consideration, time, and resources, with the rewards far outweighing these initial costs.
- Data siloes: It’s common for different departments to store and use data in different systems and databases that don’t integrate with one another. The more fragmented the data, the more difficult it is for organisations to get a single view of performance, compliance, and the overall student lifecycle.
Data quality: Given the number of siloed systems in play, it’s no wonder that data quality tends to suffer. From duplicate records to incomplete or inaccurate information, HE is consistently held back by inconsistent data.
What data can universities collect about student lifecycle?
For the best understanding of the student lifecycle, universities can capture a vast amount of data, spanning recruitment and enrollment to graduation and alumni status. The data can be used to:
- Improve student retention
Predictive analytics spot which students are at risk of dropping out.
- Provide targeted support
For students who may need additional tutoring or financial help.
- Increase efficiencies in administration and operational processes
For instance, across applications, exams, and graduations.
Why is data governance important in higher education?
Data governance is the cornerstone of a university’s reputation and student success rate. The activity upholds the accuracy, security, and compliance of data, which improves operational efficiencies and student outcomes. Governance works to reduce the risk of data breaches, as well as bias from predictive data models. A university with well-governed data is better positioned to adopt AI responsibly than one without.
For more information, head to our blog: The benefits of working with a data governance consultancy.
What experience does Oakland Everything Data have in HE?
Our work with some of the UK’s leading universities has highlighted some of the sector’s biggest pain points around data and AI. We understand that:
- Student numbers, experience, and success metrics are becoming increasingly central to institutional performance.
- Fragmented, disparate systems make it difficult to obtain a complete picture of the student, research, or operational landscape.
- There’s a growing need for sector‑wide insight and strategy, enabling better planning, scenario modelling, and organisational responsiveness.
- The demand for CRM maturity is high, driven by new expectations around lifelong learning, re‑engagement, and personalised interactions across the learner lifecycle.
- The safe and compliant use of research data as well as AI‑supported learning, experimentation, and productivity is a high priority given the emerging interest in AI.
Do any of these sound familiar? We thought they might. The good news is there’s a solution (or two) for all. Please get in touch to find out more.
Which sector standards, regulations, and frameworks do you have experience in?
Oakland Everything Data’s consultants have a deep understanding of the frameworks, reporting requirements and sector bodies that shape HE data. These include: