Case Study: Arc Home Shortens Forecast Cycles with DataRails

How Mortgage Provider Arc Home Has Shortened Its Forecast Cycle With Datarails

Arc Home, a nationwide residential mortgage provider, needed to keep pace with the volatility of the mortgage business by regularly updating assumptions and financial models. Before using DataRails, its finance team struggled to consolidate thousands of data points from multiple Excel files for monthly variance reporting and forecasting, making the process slow and labor-intensive.

With DataRails, Arc Home consolidated and automated its reporting and planning while still working in Excel, using dashboards, variance reporting, and simple lookups to speed up monthly forecast updates. DataRails helped Arc Home cut its forecast cycle from three to four days to about half a day, save three days per month on planning and reporting, and spend more time on deeper product-level and profitability analysis.

Arc Home

Massimo Monaco

Chief Financial Officer