#157 Building a Holistic Data Governance Strategy at RMIT, with Nonna Milmeister, Chief Data and Analytics Officer at RMIT University (Part 2)
In Part two of this episode, Nonna talks about the role culture plays in a data-driven organization and the importance of role accountability and the support of leadership.
One of the things that Nonna strongly subscribes to is the RMIT vision to support their students in every possible way including a new initiative called the Data Innovation Hub which gives students 12 months of real industry experience. Nonna says their key focus at RMIT is to make sure that their students are ready for life and work.
Also in this episode, we discuss why a widely known and explicit data strategy is vital to every organisation. Nonna says that everything is about data, and it doesn't matter what your organization is or does, because, without data, it's not going to be successful.
In this episode we discuss:
How using interns can benefit your organization
Data Owners vs Data Trustees
Working with peers and data leaders across an organization
The use of data analytics during Covid-19
Do executives trust the metrics
Quotes
“Our key focus is to make sure that our students are ready for life and, and work. This is RMIT vision, which I completely subscribe to. And so, what we really want to do is to make sure that we support our students in every possible way.”
“So what is that, if not changing the culture of the organization, because we give the students the best opportunities that they might have in life?”
“It's great, we would probably never have time to do this. But students are specialists in this sort of statistical analysis, and they've done a great job. So why wouldn't you use our students? Why wouldn't you give them an opportunity, I think that's amazing.”
“The data needs to be collected at the point of entry, or at least as early as possible in the process. And if these people don't have these roles of data owners or data trustees, then I'm not sure how you're managing data really.”
“And it's so important to give our data scientists all the data that they need, and as quickly as possible so that they don't have to go through multiple approvals with multiple data owners. Because it takes so much time and so much effort where they can actually do what they are good at, which is creating models.”
“Everything is about data. And it doesn't matter what your organization is, without data, it's not going to be successful.”
“The demand for data and analytics was growing. Financially, people wanted to know, how do we identify students that needed to be contacted in case of emergency? How do we now build contact tracing that will allow us to identify contacts in case someone is infected? There were so many different projects that we've done during COVID.”
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