SAVVI offers the only automated regression analysis with a 95 percent confidence level on adjustments. The technology provides accurate home values that are backed by a $1-million guarantee on the mathematics behind the analysis. SAVVI is the first automated regression analysis platform available to appraisers, real estate professionals and mortgage originators.
“Accurate home values are the very foundation of a solid recovery for the mortgage industry,” said Jim Silva, founder of EMC2 Data. “It is paramount that appraisers have accuracy in their valuations. Realtors and loan originators can take advantage of the solution to ensure everyone involved in the process has the same information which prevents surprises at the closing table.”
SAVVI delivers up to 250 comparable properties to substantiate the 95 percent confidence level in its analysis. In addition to providing appraisers home values, SAVVI gives real estate professionals the confidence they need to help their clients price and purchase homes, while providing originators the information they need to properly underwrite loans.
The TOTAL Store offers appraisers the opportunity to securely purchase native and third-party products. It also allows third-party vendors to seamlessly integrate into the underlying TOTAL technology while avoiding delays that often come with traditional integration. The TOTAL™ software products are dominant in the appraisal industry and are used by more than half of all appraisers nationwide.
“We’re pleased to include EMC2 Data’s SAVVI in the TOTAL Store,” said John Farley, president of a la mode’s Appraisal Division. “Appraisers have been requesting an automated regression analysis tool and SAVVI provides that alternative to paired sales analysis backed by a large data set.”
About EMC2 Data
Denver-based EMC2 Data provides enhanced statistical mathematically-based automated regression analysis for property valuations; with its proven technology, the company has created a collaborative platform that brings together real estate professionals and lenders early in the process, in order to improve valuation methodologies and more efficiently increase the number of transactions. For more information, contact email@example.com.
- Real Estate
- regression analysis
Charlyne H. McWilliams, 301-933-5567