DIY Zillow

Lichtendahl, Kenneth C. Jr. Boatright, Benjamin Andrasko, Joe

  • ケース
DARDEN

This case examines a realtor’s attempt to improve an online residential real estate website’s mapping and home estimation features. With the help of a data scientist, the two professionals work to create an interactive map that provides greater filtering capabilities and improved school boundary views, allowing clients to easily locate homes in their desired school districts. In addition to the visualization enhancements, they also build a simple predictive model for forecasting a home’s current value. These forecasts can be used to evaluate properties on the market by comparing a home’s listed price to the estimated value from the model.

出版日
2021/12
改訂日
2022/03
領域
経営・戦略
ボリューム
9ページ
コンテンツID
CCJB-UVA-QA-0931-02
オリジナルID
QA-0931
ケースの種類
Case
言語
英語
カラー
製本の場合、カラー印刷での納品となります。