689 karma · joined June 21, 2018
Edit: I do agree with you that a lot of enterprise pricing can feel like the vendor simply figured out a % of your ebitda and decided it sounded good to them. But in the examples in the article, most enterprise pricing was fairly well documented / published. If you want to really get into some of the bad actors don’t look at the list from the article, look at the enterprise platforms that are easily into the hundreds of thousands per month... I won’t name names but if your an enterprise IT manager you know who they are.
1.https://www.chicago.gov/city/en/depts/mayor/press_room/press...
a) Palo Alto can hold onto its old town feel because it’s literally the epicenter of Facebook, google, sand hill road and Stanford university. Some random town in Florida isn’t going to have all that.
B) in places like Florida, Phoenix, Las Vegas, Houston, etc, it’s simply not feasible to constrain parking when a good part of the year no one wants to walk a half mile or more to get groceries.
There are other ways for places to be nice and not look like an early 1900s town center... I’d submit Austin as an example: it’s totally car centered but has lots of intriguing and distinct neighborhoods and plenty of variety while also being quite suburban and housing quite a lot of strip mall retail.
The small downtown can also be very restrictive and expensive for lower income families. For example, in New Jersey, and eastern PA there are quite a few quaint little towns. Oh sure their town centers are full of small restaurants and dog grooming, pharmacies and banks, but conspicuously absent are grocery stores. I know of whole towns with 10-40k residents and not one grocery store. It’s worse in places like Chicago where lack of access to quality fresh produce has been linked to higher rates of crime.
These small towns create high rates of NIMBY-ism and while they do retain their turn of the century charm, I would suggest that it’s just as Hollywood as the new urbanism but in different ways.
I think we can all agree strip malls probably weren’t the best invention and new urbanism isn’t perfect but at least developers are trying to do something appealing rather than just put up another crappy building with nail salons and vape shops.
https://www.reddit.com/r/spacex/comments/f2a1yx/eric_berger_...
But at the same time, how can it accomplish its mission without going on boondoggles like SLS? I just saw an article yesterday about a project they funded for Lockheed Martin for them to explore an SST that doesn’t create loud shockwaves... I guess you could say this falls under the Aeronautics mandate but really? Is this an area of research that needs government funding? Or can they say anything that furthers the understanding of safe flight and NASA’s regulatory mission of private space flight, then its justifiable?
In terms of creating the prediction, what I recommend is to have everyone involved name all the known potential deals... what will it take to close, what is the timing, what is the revenue, what is their confidence. The idea is to mimic how hurricane forecasts are built... they take everyone’s best model and then show an ensemble of all the tracks a storm could take. That’s the range of outcomes. You need someone to play the pessimist if there isn’t already someone in the group. Once you have an ensemble — ie a range of possible outcomes - you can average them into a single line.. you can weight the inputs and then average, etc...
Finally you need to reconvene and discuss risks, features, Investments, all the moving parts that you’ll need to manage to make this forecast a reality.
Even when you have historical trends to leverage in a statistically generated forecast, you still need to coalesce into action. Will power is what makes predictions a reality... whether you are one month into it or have several years behind you.
As for the mechanics, I recommend a book called the ten day mba by Steven Sillbigier. Don’t attempt to read it cover to cover. keep it as your bible... if you want to go deep into theory, get the McKinsey book on valuation.
Edit: one more thing: never ever accept an assumption because it sounds reasonable. For example, your sales guy says I can close the first two customers in six months, an then the next six months I’ll close four and then the next year I’ll do 12. A lot of people will say, that sounds reasonable, the first ones are always the hardest. I can tell you right now that forecast will fail. Same thing with looking at peer data... if you only look at velocity of the revenue line and don’t accurately assess the factors that contributed to that growth, it’s a guaranteed fail. Never use one estimate, never accept in input because it seems reasonable and never look at a trend without a regression next to it. Many people eyeball trends and it’s amazing how many can see growth in a flat or declining trend. Don’t fall for it!
(Ok that was more than one last thing...