Alex

About Alex Leigh

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So far Alex Leigh has created 36 blog entries.

The why, how and what of Data Governance

By |2019-10-09T10:06:16+01:00October 9th, 2019|What I've done|

After my last post on ‘How to make the Data Governance business case’, I’ve had requests to share the full slide deck from the event this post originated from. These cover - briefly - the whole data journey plotted out in the schematic above. You can download them below. This was from my session at the excellent HESPA (Higher Education Strategic Planners Association) Data Governance 1 day conference on September 28th, 2019. The next post will be on ‘how to value the data asset’. If you have questions or comments, please do get in touch.

Data Governance Business Case – what are the benefits?

By |2019-10-04T11:18:05+01:00October 4th, 2019|What I've done|

As my colleague, and fellow data professional Nicola Askham, wrote in her last blog. it can be a ‘real struggle to get your data governance initiative approved in the first place’. She sets out the reasons why, and recommendations on how to overcome them. In this post, I’m going to dive into the detail of how to frame the benefits and risks within that business case.  These have been developed over many years of creating signature ready business cases as part of a wider Data Governance initiative or programme. What are the benefit and risks that make the case? Every organisation [...]

Incoming: three future blogs

By |2019-09-27T11:44:10+01:00September 27th, 2019|What I've done|

I’ve been a little remiss in creating content and templates over the last six months. This is the joy and curse of being busy! However after an excellent data governance conference arranged by HESPA, three recurring themes clearly need exploring. And a blog is a great place to do that. So in the next 4-6 weeks I’ll post an entry to answer: What goes into a Data Governance business case, and how do I choose? What is the cost of bad data / the value of good data, and how can they be calculated? What skills are needed for Data Governance [...]

Everything is an edge case

By |2019-09-27T08:54:10+01:00September 27th, 2019|What I've done|

Originally published on WONKHE: https://wonkhe.com/blogs/in-he-data-everything-is-an-edge-case/ We all know that data has value. What we don’t have is an agreement of what that value is, how to calculate its worth and who is the primary beneficiary. This makes writing any kind of business case for increasing the value of that data asset somewhat problematic. What is tactical data? That case is further compromised by the blurred lines between tactical, strategic and regulatory data. Ask three people which of these is most important and expect at least six different answers! One maxim does hold true though “the higher up the management chain you [...]

How do I assess change in terms of my data asset?

By |2019-08-27T17:22:15+01:00August 27th, 2019|What I've done|

How many times have you been asked 'We have a new system being implemented next month, can you sort out the data?'. Okay this might be a bit extreme, but the proposition holds. Data is rarely considered in the same way as the other asset classes - finance, staff and estates. This needs to change. Data is the fluid over which processes flow. If the impact is ignored or quality is assumed, this fluid can quickly turn into a grit. However, in many organisations, a lack of change governance is incompatible with a rigorous impact analysis approach. Leaving a combination pragmatism [...]

Data delays shouldn’t mean data disorganisation

By |2019-07-11T15:02:06+01:00July 11th, 2019|What I've done|

I know it’s been a while since I’ve posted anything. This is not by any means due to a lack of content, it’s more a lack of time. Or - to be more accurate - time management! I was however moved to write a short article on why Universities should persevere with their initiatives to improve the quality of the data asset, in spite of the news this week that Data Futures has been put back at least another year. WONKHE were kind enough to publish it on their website Hopefully this will kick start my approach to dealing with the [...]

SROC – this is my tribe

By |2019-04-27T12:09:56+01:00April 27th, 2019|What I've done|

Higher Education fosters a culture of collaboration which is unique across all industry sectors. Each and every time I hear a delegate sharing a 'warts and all’ story with fifty other institutions in the room, I'm reminded of an diametrically opposite experience some twenty years ago. Two mobile phone companies were looking to merge. Forty people split across two conference rooms. Labelled 'red' and 'blue' teams. Self conscious engineers from both firms carefully mingled while sporting the appropriate badge. A pastiche of the cold war where the spies of both sides felt a kindred spirit ripped apart by dogma and ideology. [...]

Are Data Maturity assessments worth the effort?

By |2019-02-13T09:42:45+01:00February 12th, 2019|What I've done|

The answer should be a firm yes, but first let me explain why it is often a definite no. Assessment scores are amongst the dirtiest data you can collect, with most methodologies being entirely qualitative Completing the assessment may give you a grade or a level, but other than printing it out and sticking it on the wall, what do you do with it? The HEDIIP programme originally envisaged publishing a data maturity assessment across the HE sector. My view was without a framework for that assessment to operate in, the cost of collection was not commensurate to the value we [...]

Stanford EDU – Data Governance Maturity Assessment template

By |2019-02-12T17:26:51+01:00February 12th, 2019|Concepts and Templates, Members Area|

This template is a version of the Stanford EDU data maturity assessment model.  It is formatted to allow each question to be assessed via a drop down box. When completed, a number of graphs representing the scores will be available for review. The original material is copyrighted for Stanford EDU, but free to use. Please find more details here.

Why visualising Data Quality issues can overcome institutional inertia.

By |2019-01-28T17:05:40+01:00January 28th, 2019|What I've done|

A recurring problem with resolving cross domain data quality issues is the asymmetry of benefits. Essentially the data producer (responsible for entering or uploading data at the point of collection) has little visibility of how the quality of that data will affect the data consumer (the person or persons who use it). The utility of data is often scuppered at this collection point, as the producer - understandably - will apply only the business and quality rules relating to their own use cases. This is not simple to fix. I used to believe merely showing people the implications of these actions [...]