In my last blog post, I introduced a mapping tool linking the HESA Data Futures schema (2.01) to the UCISA HE capability model. This generated an enormous amount of feedback and interest. This interest made me appreciate - again - how powerful the capability model is if tuned to a real world scenario, and that I'd created a bit of a monster in terms of the tool itself. Having said I wasn't going to enhance it, the number of requested changes, and a bit of spare time over the break has brought forth version 2.1. The new functionality includes: A query function [...]
What is it? A business glossary is a cornerstone of any successful data governance framework. It underpins much of the effort to assess, track and improve the data asset. A properly formed glossary is the foundation for driving up the utility of data. It does this by generating trust in that data because we know what it means, and the quality at which it is held. It is therefore an institution wide, agreed business view of the most important data and where it is used. As such, it's a key tool for data stewards and owners to move data out of [...]
This template gets you started with a place to define, store and understand the most important business terms in your institution. Details of how to get the best out of it can be found in this blog post.
This template is a powerpoint slide. It is the basis of a framework for a Data Governance accountability matrix and operating model. Many of the other templates will reference this model as it has been designed and implemented specifically for UK universities. The main features are: Business ownership of data. This is shown by the key business roles of Data Owner, Steward, Producer and Consumer all being held within the areas of subject matter expertise (roles and responsivities will be covered in more detail in a future template) Clear lines of accountability. The owners set the policy based on the university [...]
This is not an exhaustive list of all data governance activities you may wish to undertake. Rather it is a set of themes that are generally involved in implementing successful data governance. Each university needs to look at their own requirements, priorities, current state of maturity, resources and budget and senior management buy-in to understand which activities are most important, and in which order. The four themes are: Data Strategy and Policy: How to build the 'rules of the road' for data and showing how this approach visibly supports the wider objectives Development of a framework: What will data governance look [...]
Alex has worked with over fifty UK universities, most of the sector agencies including University and Colleges Admissions Service (UCAS), Higher Education Statistics Agency (HESA) and the Quality Assurance Agency for Higher Education (QAA) and a host of practitioners in the Higher Education (HE) sector. Alex designed and developed the HEDIIP data capability framework, led the team to create the HESA in-year collection model and designed both a sector level and a HESA instance of a best practice data governance approach; and is currently working with universities to develop and implement their Data Governance frameworks, How long have you been working in [...]
Sourced from the ever wonderful memegenerator.com … probably extremely frustrated. And, frankly on some kind of list, double underlined for wanton neologism and crimes against innocent nouns. There's a nebulous link between that frustration, and the argument I'll be advancing about Excel. Specifically, its widespread use as a records management system is symptomatic not causal. Context is everything here; Excel is clearly brilliant at what it's designed to do. From 20 cells to budget a weekly shop to complex multi-page epics forecasting global sales. Unfortunately, it's even more successful at what it wasn't designed for - a repository for [...]
I’ve been asked whether there’s a similar data governance service to those offered in finance and IT. The concept of a fractional IT or Finance director is well established, but I don’t know of anything formal within the Data Governance space. I would consider a number of my professional colleagues and myself to already offer this service, but we’ve never called it that. So it seemed sensible to try and rough out what that might be and how it might operate. I’m very interested to get feedback and questions on whether this makes sense and/or there would be a demand for [...]