{"id":1626,"date":"2025-09-10T11:06:28","date_gmt":"2025-09-10T11:06:28","guid":{"rendered":"https:\/\/iqeq.com\/us\/?p=1626"},"modified":"2025-09-12T13:52:21","modified_gmt":"2025-09-12T13:52:21","slug":"how-is-data-analytics-transforming-real-estate-investment-three-key-takeaways-from-iq-eqs-exclusive-event","status":"publish","type":"post","link":"https:\/\/iqeq.com\/us\/insights\/how-is-data-analytics-transforming-real-estate-investment-three-key-takeaways-from-iq-eqs-exclusive-event\/","title":{"rendered":"How is data analytics transforming real estate investment? Three key takeaways from IQ-EQ\u2019s exclusive event"},"content":{"rendered":"
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By Tanuja Adiani, Managing Director, U.S.<\/em><\/p>\n

\u201c[Real estate] is the most solid security that human ingenuity has devised. It is the basis of all security and about the only indestructible security.\u201d \u2013 Russell Sage, American financier and businessman<\/p>\n

As indestructible as real estate is, the winds and tides of change are formidable forces. In the data-driven ecosystem of today, information on these changes is the ultimate tool enabling growth, agility and diversification \u2013 making adoption of data-related tech critical.<\/p>\n

This summer, we hosted a real estate and data analytics panel and networking event in New York. With external speakers from real estate technology platforms, audit firms and investment managers, offering a range of interesting perspectives, we gathered a number of insightful and actionable key takeaways.<\/p>\n

Here, we share the top three takeaways for real estate investment firms to consider.<\/p>\n

1. As alternative asset markets open up, real estate firms need to prioritize adoption of new technologies<\/h2>\n

Much like the wider private markets space<\/a>, the real estate sector has historically been slower in tech and AI adoption, but it\u2019s undeniable that real estate data analytics empowers professionals to make data-driven decisions regarding the operations, acquisition and disposition of commercial real estate. It\u2019s becoming increasingly essential to expedite adoption as data analysis and stakeholder regulations becomes more complex.<\/p>\n

A key first step in the process of effective data collection and analysis is understanding why<\/em> this data is needed in the first place \u2013 e.g. LPs need strategy data, GPs need revenue data, and managers need risk-reduction and ESG data.<\/p>\n

2. Portfolio data can be extensive and disparate, but AI is here to help<\/h2>\n

As property and investment managers look to various data sources to drive decisions and results, data integrity is essential.<\/p>\n

Portfolio data is vital information but time-consuming to sort through. Robust processes deploying AI enable teams to reallocate resources and focus human attention on strategic business objectives.<\/p>\n

Benefits of AI:<\/p>\n