Automating Budget Load for a Leading REIT’s FP&A Team

About Client:

One of the largest U.S. Real Estate Investment Trusts (REITs), managing tens of thousands of single-family rental homes across major metro markets.

Background:

Every year, the FP&A team prepares a comprehensive financial and operating property budget plan. They use Anaplan to model projected revenues and expenses across the portfolio, and then reconcile this data with actuals in the EDW to support reporting for both corporate leaders and property-level managers.

In theory, this setup should have given them a seamless view of plans vs. actuals. In practice, however, the integration between Anaplan and the EDW was anything but smooth.

Challenge:

The budget load process was almost entirely manual. Analysts had to:

  • Export budget and forecast data from Anaplan.
  • Reformat and clean the files to match EDW requirements.
  • Manually upload them into the EDW.

This took hours of repetitive work every cycle and often introduced multiple errors or delays. For a REIT of this scale, that meant:

  • Slower budget cycles – delaying when leaders could see reports.
  • Higher risk of inaccuracies – manual data handling left room for mistakes.
  • Lost productivity – analysts were stuck doing data prep instead of focusing on insights and forward-looking analysis.

Solution:

We partnered with the FP&A and IT teams to automate the entire budget load process between Anaplan and the EDW.

Here’s what we did:

  • Built a secure, automated data pipeline to transfer budget and forecast data from Anaplan to the EDW.
  • Put validation rules in place to ensure data integrity and eliminate reconciliation headaches.
  • Made budget data available in the EDW at the very start of the planning cycle, without any manual intervention.
  • Designed the process to be scalable, so new entities, properties, or investment structures could be added with ease.

Outcome:

The results were immediate and tangible:

  • Eliminated hours of repetitive manual budget load work every cycle.
  • Freed up FP&A analysts to focus on analysis and insights instead of data preparation.
  • Improved accuracy by removing error-prone manual steps.
  • Made budget and forecast data immediately available in the EDW at the start of the planning cycle.
  • Enabled faster reporting and earlier availability of budget vs. actuals for leadership.
  • Created a scalable process that can easily adapt to new entities, properties, or investment structures.

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