drinkzima

The issue is that there isn't a great alternative.

The euro is difficult to manage because of the diffuse control, pound an even smaller economy, RMB just not global enough (and tough argument to see that happening), gold/bitcoin/whatever not the same inherent stability.

Indeed the dollar weakening, but nothing really to take it's place.

The straw man is always that self-serve fails because every user cannot use data well at work. The reality is some users will be inclined to solve their own problems and others will not, but self service is available to many users with deployed BI, and SQL is nearly always not the way they are doing it.

Most times I see this type of article, it's with folks that have never worked in a modeled BI tool. Salesforce data, for example, is very complex. But an ability to make a table of live opportunities with metadata and order them freely, next to usage data in an app is self service BI. It's not hard; it takes some setup; but it's self service.

The idea that folks can jump from business understanding to fully mapping the data as it lives in the data warehouse, on the other hand, is not trivial and won't be. The nuance of the real world is hard.

Different types of users need different interfaces - SQL all the way down to point and click. And there's no free lunch on modeling raw data to bring it to a consumable place for the company.

Gross profit is what most people think of as revenue. What they start with after goods and shoppers less COGS.

I don't understand why you would do this when short term Treasuries or money market funds exist. There are far better solutions than what you suggest.

Has anyone found credible research around mean, min, max, average vis-a-vis climate change? Quick search didn't surface anything beyond lots of average temperatures and median forecasts, but less about the distribution of climate.

Edit: trying to understand the decomposition of average temperatures increasing (more hot days, hotter hot days, etc)

Maybe single day move on acquisition announcement - ATVI up quite a bit on 1/18, MSFT down that day.

As an aside, the methodology says "We calculate the correlations between 2 securities on the daily closing values of the last 20 years. If one of the two securities has not been on the market for so long, we use all available prices to calculate the correlation." - hopefully the author means daily changes, not daily values, because otherwise everything is spurious.