If you had the best data analytics tool for real estate management, what would you use it for?

Use Cases

Click on the use cases below and see the solutions we offer.

 

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Build a culture of goal-setting and achievement with metrics, leading indicators and scorecards

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Increase income by optimizing rents, managing occupancy, reducing delinquency and more

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Give your data analysts modern tools so they can be more productive and deliver better insights

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Transform from being REACTIVE to becoming PROACTIVE when it comes to managing your assets

Find and fix causes of budget variances 

Well-run real estate companies have the discipline of setting budgets and tracking variances. Once variances are visible, the next step is to drill into the GL to see which transactions are driving the variances. The modules listed below help with this workflow.

  • Keep track of budget variances using RV01
  • Use RV19 to find outliers and misclassified transactions
  • Use RV18 to track key ratios for a property
  • Use RV36 to benchmark per-unit expenses and income of properties
  • If you want to compare proforma vs actual, we can load your proforma data into your data warehouse

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Control operating expenses 

Runaway expenses can sink any business plan. We’ve got modules to help you visualize expenses. Then drill into your GL to uncover new or unexpected expense items. 

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Optimize lead-to-lease velocity 

Set lead generation targets based on forecasted vacancy. How quickly you convert a lead into a lease will drive economic occupancy and NOI.

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Decide which metrics to track 

We believe that in addition to performance metrics such as NOI, occupancy, delinquency, etc, companies should also be tracking the leading indicators of these metrics.

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Optimize rents

For companies that want to optimize rent by unit, we offer modules to compare lease and market rents.

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Reduce delinquency and bad debt 

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Forecast occupancy

See this case study on how we helped a company balance supply and demand of units

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