Thank you. It's a good question.
It's one thing to go through the process of saying you need to collect data and you need alignment, but you need the human capital to understand what the issues are around alignment, to look at a data set and recognize that there are gaps or that maybe it's not picking up what you intended to be picked up. That's purely what it meant.
Then to take it one step further, at times—and the NEB and NRCan and Statistics Canada have done this in the past—you have to look at what the data means. It's one thing to have a series that runs 100 years in time on maybe oil prices, but what does it mean? What can you extrapolate for what your question may be or to help the public understand the data? That's what the expertise commentary was really about—being able to understand and appreciate the data, design the series, and anticipate the data needed in the future as well. I think we've heard a lot about that today.