Yes, you're going to have to cut me. I'll close up. I'll give you the four points, the things that I'd like to see here and I think we need to do.
Firstly, augment, don't duplicate. The EIA has been doing this in the U.S. for 40 years. Let's not try to repeat what they're doing. Let's learn from them and let's get it going, right?
Employee enterprise data management: let's make sure we have a common understanding and meaning. Everybody knows we're playing in the same field and from the same rule book.
I'd like to see trained subject matter experts, a distributed cross-functional network of chief analytical officers with subject matter expertise to interact with leadership in all departments and agencies, and also to work back with our natural engine for this, which is Statistics Canada.
We need shared open transparent data in a fast-fail iterative lean process. We need to be able to work in a way where we're testing, and we're not worried. The modern world is open source. We share our mistakes and our successes, but by working together we get a better result.
Thank you for your time.