
On Demand Webinar
From instinct to intelligence: Data-driven decision making in fund & asset management
Join the discussion
For years, investment decisions in commercial real estate have rested on a combination of experience, instinct, and spreadsheets that are difficult to interrogate, share, or scale. In a market where margins are tighter and the cost of a poor decision has never been higher, that approach is no longer good enough.
Join Bisnow and Altus Group for a candid panel discussion with senior leaders across asset management, portfolio management, and investment, exploring what it genuinely means to move from instinct-led to intelligence-led decision making. We will look at how the industry's most forward-thinking teams are rethinking their approach to investment modelling, appraisal and scenario analysis, and what the shift to faster, more transparent and more auditable processes has meant in practice.
This is a practical session, not a theoretical one. Panellists will share real experiences, including what has worked, what hasn't, and what they wish they had done sooner.
What You’ll Learn:
How leading fund and asset management teams are modernising their approach to investment modelling and appraisal, and what that has changed day to day
Why consistent, auditable data is becoming a non-negotiable for investor reporting, governance, and internal decision-making
How to move from fragmented, individual spreadsheet processes to a scalable approach that works across teams and portfolios
What good scenario modelling looks like in practice, and how the best teams are stress-testing assumptions faster without sacrificing accuracy
Where the real barriers to change sit, whether cultural, technical, or structural, and how others have worked through them
Speakers and panels
Joshua Gale
Property Risk Manager, Aldermore
Amilcar Grot
Senior Portfolio Manager, a.s.r Real Assets Investment Partners
Helen Gregory
Asset Manager, Canary Wharf Group
Peter De Witte (Moderator)
General Manager ARGUS Software & Data, Altus Group
