Who Owns the Data that Appears in Your Reports or Dashboards?
Nicola Askham
DataIQ 100 2022 | Award Winning Data Governance Training | Consultant | Coaching | Data Governance Expert | D.A.T.A Founding Committee
If you’ve ever read any of my previous articles on data ownership, you’ll probably know that I feel quite categorically, from my many years of experience, that you really cannot have more than one Data Owner per data set. It really doesn't work, and I don’t recommend you try it.
There’s no exception to this rule - believe me, I've been there, done it, still have the scars... What I believe you need to do is find one senior person within your organisation who is going to take overall accountability for that data, wherever it is within your organisation.
So hopefully, from that you're getting an inkling of the answer to today’s question… ‘Who Owns the Data that Appears in Your Reports or Dashboards?’
Well, I believe quite strongly that if the data that is showing in that report, is the same data as it has always been - it has not changed and is therefore still the original data, then it is owned by the same data owner who has always owned it!
For example, if you have a data owner that owns customer data, and you have a report, or more likely a whole suite of reports that contain customer data, then the owner of that data is still the customer data owner.
Now of course when you have reports, there are going to be multiple different data sources in them. And you might have many different data owners per report. This is why quite often when I'm rolling out a data governance framework, I don't make it an official Data Governance role, but I work with the BI or MI analytics team - whatever you call yours - to determine a role called Report Owner.
So, whoever first asked for that report, whoever gave you the requirements and then signed off on them. They are the report owner, and they are the people who know why that set of data was brought together in that report or dashboard and why it is useful – but, crucially, they don't own the data in it.
If there is a problem with the quality of any of the data in that report, then you would follow the normal data quality issue resolution process and you would go back to the original data owner or owners to get it fixed.
领英推荐
Now, there is sometimes a slightly different alternative and that is in a case where the data has been changed. I see that a lot where organisations are creating models or the report in some way aggregates data or transforms it performs a calculation.
So according to the data ownership principles I have already laid out, this means the data has changed. It's no longer the data that it was originally. It is new data. If you have performed any calculation or transformations to the data and created something else as part of producing that report or dashboard, then this is now new data, and the resulting data should have a new data owner.
If it was closely related to the original data, it may be the same data owner, but it may be somebody else. In those instances, it's often the consumer of that data - the person who has given you the requirements for what that calculation or aggregation is – they would be the data owner of the new data.
Now, if you have maybe two or more interested stakeholders interested in the same data set, what you must do is get them together and draw a conclusion as to who is the most appropriate person to own it and the other to be key stakeholders.
Another even better option is to consider splitting that data set into subsets until you find a way of splitting it so that everybody's happy that they are owning and responsible for the data that they really should be. Doing it any other way, I can guarantee you, is not going to work.
It's going to cause you loads of pain and is going to result in people telling you that this Data Governance doesn't work or doesn't help them. So, I really, cannot stress this enough - you should only have one data owner per data set – and that includes any data that you may use and/or change to form part of a report or dashboard!
Originally published on https://www.nicolaaskham.com/
Data & Analytics Leader | Driving Data Strategy, Governance & Value | Entrepreneur
2 年Julie Westerbeck I follow Nicola and she shares some good insights that I use. :) Goes along with our earlier discussion.
Enterprise Architecture & Data Management as a Service / Digital Strategist, enthusiastic transformer & collaborator / Speaker / Simplifying your business
2 年It’s a really good discussion and thank you for sharing. I understand the notion of the data belongs to the organisation but unless you have a CDO or Enterprise Data Council that is accountable, engaging Custodians and has an agreed funded roadmap that focuses on the uplift of data assets by design then ownership by the organisation tends to fall through the cracks. Everyone and then no one owns the data on behalf of the organisation.
Chief Data Officer ? Scaleup and Transformation ? Data Management Consultant , Advisor, and Coach ? Grew multimillion-dollar revenues ? Drove multimillion-dollar projects ? Data Architecture and Data Governance innovator
2 年I've struggled with the same challenges Peter Aiken mentioned. The term "ownership" often seems to create more problems than it solves. The business process management and re-engineering community has struggled with the idea of "process ownership" for over 30 years, and owning a business process is arguably less abstract than owning data. To draw on another visionary in the data governance field, Gwen Thomas has noted that data governance is 80-90% communication. What exactly does it mean to "own" data? Words do matter, especially in our field. In contrast, what does it mean to be accountable for data? Or to be a trustee of the data, a fiduciary, a care giver (I work in health care)? Working in health care data governance I mostly feel like a care giver. As Len Silverston and Karen Lopez so aptly point out, all data is suffering. It needs some love, leadership, advocacy, management, and compassion. Taking a page from the business process management community, instead of focusing on ownership of the data, focus on the activities and competencies necessary for successful process (data) management. Replace the word "process" with "data" in the diagram below from the BPM Institute.
Consultant, Advocate, Educator, Author
2 年Ownership is a term that has gone in and out of vogue, I think. I, personally, do not have a problem with it when it is defined as the single accountable party for the data asset. In that sense there is one “owner” while there can be multiple data stewards as the data moves through an organization and between organizations. But SOMEONE has to be ultimately accountable for version control, schema changes, compliance rules, usage restrictions (and, yes, some data assets do require them), quality standards. What you call that single accountable party (owner, chief steward, grand poobah, whatever) is less important than ensuring the role exists.