It lets you model your business data into information that makes sense to humans who need to make good decisions. It makes a little knowledge a powerful rather than dangerous thing by quietly translating your human question into an unambiguous data query that a data machine can respond to accurately.
Take for example products by supplier, rather than just returning a list, the universe will ask whether you mean available products, previously stocked products or previously sold products. The universe is semantically dynamic – the results are dependent on the meaning. While the lists may be similar they will probably be slightly different, which could be the difference in determining which supplier to award a contract to.
If you want product in stock and products sold it will ensure that one value isn’t multiplied by the other. Which these data machines will do if you don’t talk them right.
It lets you roam through time, space, products, customers, suppliers and the other dimensions of your business.
It presents numbers as you expect to see them: costs summed by material, inventory counted by product, headcount averaged over time.
It ensures that Fran from Finance and Oliver of Operations share a common vocabulary of clearly defined business terms.
Love is a strong word for a piece of technology you can’t touch or feel and certainly can never love you back, but the universe does its job of bridging the gap between people and data really, really well.