Using advanced analytics to drive asset performance

Webinar overview

Commercial real estate lags other sectors in their deployment of machine learning and data science. By combining asset-level financial performance data with market and property characteristics, CRE investors can (for the first time) quantify those factors that drive performance.

Listen in as our data science team shares some of the key insights from their machine learning-driven attribution analysis for multi-family and industrial assets.

In this webinar, we’ll cover:

• How Altus Group models and quantifies the relationship between asset-level performance and market and property characteristics

• How acquisitions teams can use this attribution analysis to find new acquisition opportunities at scale based on NOI growth potential

• How portfolio managers can systematically identify under- or over-performing assets in their own portfolios based on expected NOI versus actual