Testing out the whiteboard. Optional Labrador available for all remote workshops! Let’s start by saying there are far more important things going on in the world right now. We’re in uncharted territory with the concept of being on a ‘war footing’ not seeming too far-fetched. The efforts being made by our healthcare, retail, logistics and so many other sectors renders what we do significantly less important. Although how data is being used in this crisis is fascinating. We’ll be back to that in a later post. Our approach has been to control only what we can control and not [...]
The Data Quality Issue Log (DQIL) is a central tenet of any sustainable data governance framework. It is the central repository for the entire organisations data issues, themed by urgency, priority and business alignment. It drives activity for the Data Stewards and acts as a point of accountability for the Data Owners. So why does nobody to care about it then? Mostly because it’s hard to link 500+ issues to something that feels tangible and important. The problem with a DQIL is it is a repository not a source of management information. It is a passive receiver of issues. We want to [...]
Once we've identified, allocated and trained our Data Owners then we're done, right? Wrong! This is exactly the time we need to be mentoring that group as their role is not entirely intuitive. Why is that? Well Data Owners should be members of your organisations senior leadership team with functional accountability for a domain. That's a great start, but their data governance role extends beyond that and across the organisation. Inhabiting the owner role may deliver a dis-benefit to their own functional area. That's a whole other post, but today I'm focussing on their other primary responsibility: empowering their stewards. The question [...]
. A question I’m often asked is ‘what skills do we need to be successful in our Data Governance (DG) Team?’ It’s a good question but it may not be the right one. The more pertinent question is ‘what skills does my organisation need to move to a data culture?’. Let’s try and answer both of those. Firstly, by dispelling two myths. The first is that deep technical data skills are mandatory for the DG team. The second is that some staff get a pass because ‘they don't do data' The Data Governance team is a composite of many skills. You [...]
This is the first half of my third article inspired by the HESPA data governance conference back in September 2019. Often the question ‘what skills do I need for this role’ completely misses any consideration of the data skills to be successful in that role. This is both managing data you us, and the skills to interpret data outputs in a consistent and coherent manner. There’s a view that these skills should be project based. I don’t agree. They should instead form part of the ‘skills package’ every employee understands and values. Without some clear guidance embedded in the job role, that [...]
What do we mean by value? Assets have value. So logically we should be able to agree the value of that asset. Respected metrics to do are understood for finance, people and buildings. These metrics provide some of the framework to manage assets both in terms of their cost to an organisation, and the way that value is demonstrated – be that quantitively and quantitatively. The data asset fails to ascribe to any of those criteria! There's no industry standard or accredited approaches to assessing that value, nor a universal benchmark to cost it. This does raise the question of [...]
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