Creating a pragmatic Data Strategy for Higher Education Providers
Led by Alex Leigh, recognised expert in Higher Education data strategy and governance.
The next two courses are being hosted by HESPA (https://hespa.ac.uk/). The March course is fully booked, but new dates are being released for April.
Designed for Directors of Planning and Data Leaders responsible for providing high quality information supporting efficient operations, effective decision making, strategic reporting, data led projects and external returns.
This course is for universities who have an aspiration to become ‘data enabled’. This means
maximising the value of their data asset against a headwind of reduced budgets, conflicting priorities, increasing information requirements and untrusted data lost in silo.
Why should I register for this course?
Data strategies often fail to launch. That’s because they fail to consider how to operationalise the vision set out in that strategy. This course will deliver both a rich and engaging data strategy and a detailed implementation plan spanning the next two years.
It will demonstrate how to ‘land’ and ‘expand’ that plan into a complex university operation, and how to build sustainability in from the first day.
You and your institution will benefit from this course, if:
- You are struggling to find an approach to effectively deal with increasing external scrutiny and regulation, without sacrificing the ability to impact assess/scenario plan for rapid policy change
- Your analysts spend longer cleaning poor quality data than creating meaningful insight and intelligence with that data
- You continually experience a lack of agreed data definitions enabling a culture where it is common to tell very different stories with the same dataset
- Your investment in BI/Analytics is not showing value due to a lack of trust in the data
- You are frustrated about not being able to link datasets to create business insight because of the siloed data culture across the university
- You are concerned that extensive use of poor quality data is putting the university at risk – both internally and externally
- You are concerned at the lack of focus that data must be properly managed by all staff to avoid proliferation of data silos and increased re-keying
- You sometimes manage to introduce a new process in data management to address a long-standing data issue, only to find that the process falls by the wayside if not constantly monitored
- You have a vision for data at the university that is being held back by a ‘fix fast, fail often’ approach to the management of data
- You are frustrated by the “planning blight” of an institutional desire to do a “big fix” including new systems etc, but no idea when the time and resources to do that will actually be available.