NOVA

Case Studies

Real Results.
Real Operators.

Case studies from institutional operators in the $50M-$1B+ AUM range. McKinsey precision. Blackstone realism. JPMorgan discipline.

$1.5B+ Combined AUM
$4.6M+ Value Identified
Avg. 90-Day Implementation
01
Case Study 1•First 90 Days

Regional Multifamily Operator

3,100 Units | ~$420M AUM

The Problem

Asset management team spending 2-3 days monthly consolidating reports from Yardi, Excel models, and leasing dashboards. Data was accurate–but lagging 30-45 days.

  • Occupancy and concession trends identified too late
  • Inconsistent reporting formats across properties
  • Asset managers buried in manual data validation
  • No standardized sensitivity or variance framework

What Nova Built

Nova implemented a real-time Asset Management Intelligence layer that:

  • Pulled nightly data automatically from Yardi
  • Ran asset-level performance models (rent growth, concessions, delinquency risk, expense drift)
  • Flagged anomalies and underperformance by property
  • Generated pre-read summaries before weekly leadership meetings

Results (First 90 Days)

3 days - 5 hours

Reporting Time

$1.4M

Recoverable NOI Identified

30+ - <7 days

Decision Lag Reduction

0

Additional Hires Required

Executive Outcome

"Leadership shifted from reactive reporting to proactive asset management. Meetings became decision-focused instead of data-focused."

02
Case Study 2•6 Months

Value-Add Multifamily Owner-Operator

1,850 Units | ~$310M AUM

The Problem

Executing multiple value-add renovations simultaneously with capex spend, lease trade-outs, and rent lift projections living in separate systems.

  • No real-time view of ROI by property
  • Renovation pacing not aligned with absorption velocity
  • Asset managers manually reconciling budget vs actual weekly
  • Inability to quickly model absorption slowdown scenarios

What Nova Built

Nova deployed an orchestration layer that:

  • Synced capex data, leasing velocity, and rent comps nightly
  • Ran renovation ROI models by unit type
  • Stress-tested absorption scenarios automatically
  • Delivered property-level 'Action Signals' before weekly reviews

Results (6 Months)

+11%

Realized Rent Lift

~$900K

Misallocated Spend Avoided

70%

Reconciliation Time Reduced

5

Active Projects Accelerated

Executive Outcome

"Instead of debating spreadsheets, leadership received prioritized actions: 'Pause upgrades at Property C.' 'Increase marketing spend at Property A.' Execution tightened. Capital worked harder."

03
Case Study 3•120 Days

Mixed-Use Portfolio Operator

14 Assets | ~$780M AUM

The Problem

Managing retail, multifamily, and office assets with each vertical using slightly different reporting formats and KPIs.

  • Fragmented data across accounting, leasing, and operations
  • Inconsistent definitions of NOI across asset types
  • Asset managers spending excessive time validating assumptions
  • Slow reaction to expense drift and tenant risk

What Nova Built

Nova created a unified Asset Intelligence layer that:

  • Standardized KPI definitions across asset classes
  • Automated variance analysis nightly
  • Modeled tenant risk exposure and rollover sensitivity
  • Delivered cross-portfolio benchmarking reports before monthly IC meetings

Results (120 Days)

10 - 2 days

Reporting Cycle

$2.3M

Expense Optimization Found

3

At-Risk Tenants Flagged Early

25-30%

Asset Manager Capacity Freed

Executive Outcome

"The firm gained a portfolio-level 'early warning system.' Instead of asking 'What happened?', leadership began asking 'What do we do next?'"

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