From data sprawl to a single source of truth 

Four office workers sit around a table with laptops and tablets in front of them

The Challenge

A publicly traded healthcare real estate company operating in 30+ unique markets ran its analytics on a patchwork of disconnected systems. ERP, CRM, construction, and planning tools sat alongside dozens of Excel workbooks, and teams across business domains queried those operational systems directly to power internal reporting. Finance, Asset Management, Leasing, and Construction teams often spent their time reconciling data instead of acting on it, while executives received multiple, conflicting versions of the same metrics, slowing decision velocity and eroding trust in enterprise data. 

Without a unified approach to accessing enterprise systems and data, the constant direct querying degraded operational system performance. Meanwhile, more than field brokers had minimal property-level visibility, leaving client-facing team members without the numbers they needed to act. 

The Solution

Highspring unified analytics platform on Microsoft Fabric, integrating five core operational systems into a single automated pipeline that replaced manual extraction from day one. The team isolated financial data for SOX compliance, protecting production systems from the load of direct querying and keeping sensitive numbers audit-ready throughout the build. Just as importantly, Highspring helped team leaders create shared definitions for each key metric, driving executive alignment and creating a foundation for operational and strategic decisions. 

Highspring embedded as a delivery partner across the full effort, owning both the platform build and the direct data engineering, positioning the client to maintain momentum throughout organizational change and deliver actionable, division-ready reporting. The approach used licensing the client already owned, so the retailer modernized without signing new vendor contracts or adding recurring cost.

Our Impact

The platform upgrade eliminated hours of weekly manual reporting across four divisions and gave the business one version of the truth on every key metric. Financial data stayed SOX-segregated and audit-ready throughout, and production systems were protected from the performance drag of direct querying, restoring reliability to the operational tools that run the business each day. Beyond the immediate efficiency gains, the engagement set a durable foundation—with clean, unified, and governed data flowing through a single pipeline, the company is now positioned to layer in predictive modeling and AI capabilities, turning a fragmented reporting problem into a scalable platform for smarter, faster decisions across every division.