Traditional Problems of Local Data Analytics in Real Estate Problems center around 6 core components.
Today’s solutions have inferior GRANULARITY – data analysis is code at the city or metro market level, that has little to no affect on local real estate prices.
Inferior FREQUENCY of updated data. Most real estate professionals only have access to yearly demographic and economic data, which again, sice this data is not current, has no influence on risk or helps professionals make smarter decisions.
The ideal solution would allow the Realtor to Cherry Pick what local market variables best sell their local market at the Block, Track or Zip Code. And their solutions be dynamically generated on-the-fly while in the field visiting a client or site.
The ideal solution would also have accurate local forecast. Today’s solution only cover a few Zip Codes, and no sub-markets at the Block or Track levels, thus they are highly inaccurate at the local market levels.
And of course the solution must available on the browser, so that both the real estate professional and their client can access and not just a select few spellchecker not working…
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