When people see that binary-float-64 causes 0.1 + 0.2 != 0.3, the immediate instinct is to reach for decimal arithmetic. And then they claim that you must use decimal arithmetic for financial calculations. I would rate these statements as half-true at best. Yes, 0.1 + 0.2 = 0.3 using decimal floating-point or fixed-point arithmetic, and yes, it's bad accounting practice when summing a bunch of items and getting a total that differs from the true answer.

But decimal floats fall short in subtle ways. Here is the simplest example - sales tax. In Ontario it's 13%. If you buy two items for $0.98 each, the tax on each is $0.1274. There is no legal, interoperable mechanism to charge the customer a fractional number of cents, so you just can't do that. If you are in charge of producing an invoice, you have to decide where to perform the rounding(s). You can round the tax on each item, which is $0.13 each, so the total is ($0.98 + $0.13) × 2 = $2.22. Or you can add up all the pre-tax items ($1.98) and calculate the tax ($0.2548) and round that ($0.25), which brings the total to $0.98×2 + $0.25 = $2.21, a different amount. Not only do you have to decide where to perform rounding(s), you also have to keep track of how many extra decimal places you need. Massachusetts's sales tax is 6.25%, so that's two more decimal places. If you have discounts like "25% off", now you have another phenomenon that can introduce extra decimal places.

If you do any kind of interest calculation, you will necessarily have decimal places exploding. The simplest example is to take $100 at 10% annual interest compounded annually, which will give you $110, $121, $133.1, $146.41, $161.051, $177.1561, etc., and you will need to round eventually. Or another example is, 10% annual interest, but computed daily (so 10%/365 per day) and added to the account at the end of the month - not only is 10%/365 inexact in decimal arithmetic, but also many decimal places will be generated in the tiny interest calculations per day.

If you do anything that philosophically uses "real numbers", then decimal FP has zero advantages compared to binary FP. If you use pow(), exp(), cos(), sin(), etc. for engineering calculations, continuous interest, physics modeling, describing objects in 3D scene, etc., there will necessarily be all sorts of rational, irrational, and transcendental numbers flying around, and they will have to be approximated in one way or another.

Would it help though? IMHO, being binary is one of the least confusing sides of IEEE 754.

doesn't ieee754 define a decimal format? Specifically "decimal64"