How Real Estate Finance Teams Can Automate Month-End with Datarails
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How Real Estate Finance Teams Can Automate Month-End with Datarails

Real estate finance teams know the month-end close isn’t just time-consuming—it’s uniquely complex. From juggling MRI/Yardi data structures to managing endless Excel files, the close process often relies on manual work that slows teams down and introduces unnecessary risk.

Join Datarails and REdirect for a practical, real-world session designed for Excel-powered finance teams looking for a smarter way to close the books.

In this webinar, you’ll learn:

  • Why the month-end close is especially challenging in real estate—and why Excel remains the tool of choice
  • How Datarails acts as an operating system for the real estate CFO, automating consolidation, reporting, and variance analysis without requiring a workflow overhaul
  • What automation looks like in practice through a live demo of a streamlined, Excel-based close
  • How REdirect’s deep expertise in MRI/Yardi implementations ensures seamless adoption and long-term success

Whether you’re looking to improve accuracy, shorten your close, or reduce dependency on manual processes, this session will give you actionable insights to start 2026 with a more efficient, predictable month-end.

Speakers

Josh joined REdirect as a Principal in 2007 and brings 28+ years of real estate technology expertise. He led REdirect’s expansion into investment management software by building a dedicated practice serving investment managers, private equity real estate, and fund administrators.

Annette’s journey in the world of finance and accounting spans 20+ years. Her hands-on expertise extends across a spectrum of critical domains, including quantitative and statistical analysis, budgeting, accounting, and forecasting.

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Drive Business Performance With Datarails

Drive Business Performance With Datarails

Drive Business Performance With Datarails

Drive Business Performance With Datarails

Drive Business Performance With Datarails

Drive Business Performance With Datarails