Case Study: a leading real estate insurance provider achieves automated real estate analytics and reporting with NeenOpal

Leading Real Estate Insurance Provider - Customer Case Study

A leading real estate insurance provider faced significant challenges with manual and inefficient data processes. Manually downloading listing data from multiple MLS websites consumed up to two days per week, leading to errors, inconsistent reporting, and a lack of strategic insights. To address these obstacles, the company engaged NeenOpal for a solution leveraging Azure and Power BI services.

NeenOpal implemented an automated data pipeline using Azure Data Factory and Azure Functions to ingest and process data daily from MLS Grid APIs. They also created interactive Power BI dashboards to provide actionable insights into market share and agent performance. This automation saved over 72 man-hours per week, ensured data accuracy, and provided the client with the real-time intelligence needed for strategic planning and a stronger competitive position.