The Execution Gap: Why Growth Plans Outpace Data Readiness in 2026

PRODA’s first industry survey highlights a disconnect between ambition and execution. 

While most respondents expect higher investment and asset management activity this year, only 31% say they are completely confident in the accuracy of their core real estate data. 

This gap between growth plans and operational readiness defines the execution gap. 

When volumes are manageable, fragmented rent rolls and manual processes are inefficient but survivable. As activity increases, those same workflows become constraints. Underwriting slows. Reporting confidence erodes. Teams spend more time fixing data than using it. 

Some firms have begun closing this gap by addressing data readiness early in the workflow. Standardizing rent roll data before it enters underwriting or reporting reduces friction and allows teams to scale activity without adding operational strain. 

In a more active market, execution depends less on intent and more on whether data is ready to use the moment it arrives. 

To learn more about how PRODA helps asset owners and investment managers standardize their data with accuracy and ease, book free trial. 

Ready to save time on your manual processes for your rent roll data?

Learn More

Related posts

How We’re Scaling Real Estate Data Automation

How We’re Scaling Real Estate Data Automation

We founded PRODA to solve a specific problem in commercial real estate: too much time spent manually cleaning and validating data. In a recent video conversation with Philip Treacy of Claret Capital Partners, our Co-Founder Charles Williams talks through how the...

read more
PRODA Real Estate Data Trends Survey 2026

PRODA Real Estate Data Trends Survey 2026

In 2026, sentiment across private real estate feels more positive than it has in a while. In conversations with asset managers, investors, and fund teams, the expectation is broadly the same: activity is coming back. The real question is whether firms are actually...

read more

Collect. Extract.
Standardize. Analyze.

Collect. Extract. Standardize. Analyze.