Boss Talks is hosted by Evan Happel, Director of Marketing at Community Boss. In this episode his guest is Elizabeth Braman, founder and CEO of Revolution RE. It's a proptech founder interview that spends as much time on walks with the kids as on property management systems.
It's a conversation, not a product demo.
Revolution RE connects to the top property management systems and other data sources, collects the data on a regular schedule, and standardizes it into one format and one set of definitions, so a metric means the same thing at every property. That order is the whole strategy in miniature.
Once the data is in one consistent form, users get comparative analysis, property and portfolio reporting, predictive analytics, and customer data feeds. Each is a different way of putting the same clean data to work.
Data strategy in multifamily fails more often on people than on technology. Site teams enter the data, regional managers interpret it, and owners act on it. A company that talks to those people like newsletter readers, recipes included, is more likely to earn their trust. Adoption is what a data strategy depends on.
Most apartment owners and managers already have plenty of data. It sits in a property management system, an accounting package, a leasing platform, and a stack of spreadsheets. None of those sources agree on definitions or formats, so the data can't be compared or trusted across a portfolio. That's the gap a data strategy closes, and it's why this multifamily data strategy podcast episode is worth your time even if you never bake.
We've written about why a multifamily-specific data model is different from a generic one, and about how to build a rental property data strategy that survives contact with real portfolios.
Community Boss's podcast, tagged #bosstalks. The views and opinions expressed on Boss Talks are those of the host and their guest(s) and do not necessarily reflect the official policy or position of Community Boss.
On the show's LinkedIn event page.
Standardize your portfolio data once, then put it to work in comparative analysis, reporting, and predictive analytics.
See plans and pricing