Scaling data is a constant challenge in analytics projects. Whether to get a visualization to fit on screen or to take a independent variable and remove outliers scaling transforms data from working in one domain or another.
Let's think about this by example, let's say you wanted to analyze the US Government budget. You would find that the US Federal government spends about \$2 Billion on deposit insurance and \\$1 Trillion on Medicare. A huge range. But what if we wanted to know about what share that would be if the US National budget were only \$100.