Case Study: Wake County achieves fair, accurate property assessments with SAS Viya by SAS

SAS helps Wake County make property assessments fair and accurate

Wake County, North Carolina, faced a rapidly changing real estate market—population growth to over 1 million, 20,000 new parcels since 2016, and a shortened general reappraisal cycle from eight to four years. With more than 3,000 monthly sales and roughly 140 variables per property across nearly 400,000 parcels, the Revenue Department needed timely, unbiased analysis it couldn’t achieve by scaling appraiser headcount alone.

Using SAS Viya (SAS Visual Data Mining & Machine Learning, Visual Analytics and Visual Statistics), Wake County deployed cloud-based machine learning models that ingest daily sales and hundreds of property features to predict market values and automatically refine estimates with each sale. The solution provides interactive reports and an objective second opinion for appraisers, speeding reviews, highlighting neighborhoods needing attention, and producing fairer, more accurate assessments without materially increasing staff or operating costs.

Wake County

Marcus Kinrade

Revenue Director