Shout out to Rob for great communication, providing invaluable knowledge, and having a well-credentialed list of vendors and connections that enabled me to gather the other members of my team.

To be honest I have no idea how they would enforce this as the majority of the county is very remote and they would have to comb a lot of data to determine where to go looking for people. 

I quickly learned who was a good manager and I got invaluable market knowledge for free.

I would personally break down the operating data of each building to get individual cap rates, and get a better picture of what’s going on with each building by figuring out what every dollar is needed for and how those numbers may be adjusted by deferred maintenance. 

I have a friend who works in consulting and his company Keystone using machine learning tools to solve large-scale problems, and it seems like the best way to solve any problem with a large data set.

What large-scale data problems are you trying to solve?

Anyone have recommendations for gathering general economic data, things like stock performance in past years, job growth in different places, REIT or syndication performance.

So far, we don't have much data to go on to observe the impact of COVID19 on our local market.

The 2nd assumption is based on fear and has little analytical data to back it up.

I don't know what an 'appraiser website' is, or where they get their data.