The one issue, the one item that I've been chatting with StatsCan about for many years has been how to help small businesses plan their businesses better. We understand they probably can't find good data on basmati rice consumption within Arnprior, Ontario. It's just not available, that kind of level of information. But the kind of information that they're looking for that would be helpful—and we've actually tried to develop a product along these lines and it's still in the back of my mind as well—has to do with helping them with their costs. Do they have a good sense of what the particular wage rates or market are like within their area? There's tremendous variation in wages by skill set, by industry type, by location, and so on, but for a small greengrocer in a downtown neighbourhood, can that grocer find the right information about what is a typical wage rate or what the range is between the 25th and 75th percentile for wage rates for people with these particular skills, this amount of experience, and so on, so then they can see whether they are paying sufficiently in the marketplace, are they over the market wage, or what?
So we think those kinds of products would be helpful. You may have to splice together a number of databases to be able to get to that kind of information and it may be imputed to some degree. It may not be direct information but it may be when you put two curves together then you're able to infer what it may look like. You may know that a particular town is x per cent above or below the provincial average but you also know that this industry is x per cent above or below the provincial average, or this particular skill set or amount of experience is above or below.
So you could probably impute something down to a very specific level to help a business understand wage levels and price changes, as well as rates of inflation, products, and so on. We think there's an opportunity to impute more information that would probably be very helpful to small firms in that respect.