Keep the comparable data just in case.

The data is 5 years old but hasn't changed significantly.

To add to what @Jonathan Greene wrote:1) Understanding the local market, so you know what Neighborhood Class your building is located in, what Class your Building is (condition & amenities), and what corresponding class of tenants will be attracted.2) Using all this data to properly set your expectations and a realistic ROI.3) How to better screen prospective tenants, including catching fraud, so your property performs better.

when you know how to run numbers and Data. 

I like the Share Group for skip tracing, its not cheap, but great data is worth gold.

You can't judge an area solely on crime rate and employment and salary data, but it certainly helps.

Have you looked at AirDna or another STR data tool to obtain expected ADR?

I spent the last three weeks scraping data on this very topic. 

If there's a hole, it may be a red flag.b) sensitivity analysis: I examine all the assumptions, and make sure I can live with the worst case scenarios.c) "Stall and see": if they are getting money over multiple years, and there is no penalty for investing later, I would usually wait so I get some real performance data, versus having to look at theoretical pro forma information.d) Recession stress test: I will not invest in anything, until I subject it to recession level stress and see if I can live with the result.

The loan officer may look at it and use the comps and data in a dispute, just as they could independently look up that same data and use it in a dispute.