Can Property Data Accurately Predict Shifts in the Property Market?

Apr 3 2024 • 25 mins

In today's ever-changing property market, decisions can be swayed by fluctuating interest rates, population shifts, affordability concerns, and climate challenges. However, one constant remains to provide a clear path forward: data-driven insights.

From guiding high-level business decisions to shaping regulatory policies, data has become the cornerstone for professionals navigating the property market. But with the proliferation of data comes the challenge of harnessing its potential. Where does one begin when seeking actionable insights in a sea of information?

It all begins with technologies that can translate the vast quantities of data collected within the property industry into insights that inspire action. Whether it’s the transformative power of geospatial data, the role of predictive analytics in risk mitigation, or the implications of emerging technologies like generative AI, these technology solutions will leave their marks on the future of the property business.

In this episode of Core Conversations, host Maiclaire Bolton Smith sits down with CoreLogic’s Chief Innovation Officer John Rogers to dive into the untapped potential of data and its profound impact on the future of real estate.

In This Episode:

2:40 – What is Climate Risk Analytics and how does it help mitigate the financial impact of climate change that the SEC now requires?
5:24 – Can banks, companies, and homeowners see the effects of a changing climate on a single property?
8:12 – What kind of data is needed to power forecasting efforts and define development plans?
10:40 – How does geospatial data help define wildfire risk? What else can it help enterprises determine?
13:33 – Erika Stanley does the numbers in the housing market in The Sip.
14:51 – Have there been any surprising migration patterns that geospatial data has identified?
17:31 – Who is John and why does he always have a giant screen?
20:28 – Erika Stanley reviews natural catastrophes and extreme weather events across the world.
21:51 – How can we ensure that there are good data inputs powering gen AI to avoid the consequences of the adage “garbage in, garbage out”?