You’ve probably heard all the buzzwords around real estate data such as AI, Moneyball, or Bring-Your-Own-Data Visualization layers, but you rarely hear about real implementations that drive ROI.
That’s because most buzzwords – and solutions – are BS.
During CREtech New York (October 12-13, 2022), Cherre highlighted real solutions, real insights, and real tech that companies use to maximize their outcomes.
REAL SOLUTIONS
This standing-room-only session with Chief Product Officer Kevin Mattice dissected real estate data buzzwords and honed in on what you really need to build your data strategy.
Conclusion: Leveraging all your data for actionable insight requires you to have a single-source of truth for all your data…
… and building that is a lot more difficult than it sounds. (Psst — Cherre can help!)
L.D. Salmanson, our CEO and co-founder, chatted with the innovation and tech leaders of some of the world’s preeminent real estate investors and lenders, with a combined AUM of over $350B.
Their conversation focused on innovation drivers, new technologies, and how the role of the business has changed when it comes to driving tech transformation.
Thanks to Jesse Carrillo at Howard Hughes, Sara Shank at PGIM Real Estate, Daniel Jackson at Starwood, and Niraj Patel at Greystone for their fantastic insights!
Our product and engineering teams demoed the Cherre GraphQL API, Asset Management dashboards, Excel Power Query integration, Data Kit for SFR (now in expanded alpha!), and more – and everyone enjoyed the complementary Cherre lattes.
If you weren’t able to catch Cherre at CREtech, we’d love to give you a BS-free demo of how Cherre can drive immediate ROI at your company. Schedule a meeting today!
Just as rotten eggs ruin a recipe, rotten data sickens downstream processes like underwriting, reporting, financial modeling, dashboards, and AI models.
You need to be on your game to tell the difference between a time- and money-wasting AI solution and one that actually moves the performance needle.
Amidst all the hype, it can be challenging to distinguish genuine value from noise, avoid the bullsh!t, and develop a strategy that truly benefits your organization. We dive into the essential components of creating an effective AI strategy.
