 First, you have to invest in the capability. You need to really organize, structure, model your data so that it's easily accessible to the university and is well understood. The next step is to organize for performance management. You'll see a trend now where you have universities creating an office of analytics or they're combining their IR and business intelligence team into this independent actor. That is that data is one source of truth for the university. The next step is to empower leaders to use that data and help them understand that all the major decisions made at the university require supporting data or else they won't be approved. And then you have to focus on transparency. A lot of universities I think are transitioning from where the data is locked down and only a handful of people have access to it to where it's becoming more accessible to the university community. And I think that's very important. It's really hard to change the culture to rely on data if it's not accessible. And so really that transparency is very key. And I'd say the final step is highlighting success. So the universities that we're working with are seeing significant gains in their enrollment management and student success metrics and that's really what changes the culture when people see the impact of leveraging the data to have a conversation and make decisions and take action on it. And that's really I think what will help universities turn the corner to developing this culture of data-driven decision making. Data governance is incredibly important because data governance and data integrity are the milestones of a good analytics program. Without it, without trusting the data in a process of which metrics are defined and approved, it's very hard to get traction at the university. However, our perspective is to have a lighter, weight more agile data governance structure where the functional experts are responsible for the metrics definition and data validation and it's really a fluid and agile process versus a university-wide data governance committee that has to bless everything. And we really try to focus on really smaller teams that are focused on their functional area and approving managing data governance in that fashion.